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  1. #4261
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    [2022] Machine Learning and Deep Learning Bootcamp in Python



    [2022] Machine Learning and Deep Learning Bootcamp in Python
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
    Genre: eLearning | Language: English + srt | Duration: 325 lectures (31h 6m) | Size: 7.3 GB

    Machine Learning, Neural Networks, Computer Vision, Deep Learning and Reinforcement Learning in Keras and TensorFlow



    What you'll learn
    Solving regression problems (linear regression and logistic regression)
    Solving classification problems (naive Bayes classifier, Support Vector Machines - SVMs)
    Using neural networks (feedforward neural networks, deep neural networks, convolutional neural networks and recurrent neural networks
    The most up to date machine learning techniques used by firms such as Google or Facebook
    Face detection with OpenCV
    TensorFlow and Keras
    Deep learning - deep neural networks, convolutional neural networks (CNNS), recurrent neural networks (RNNs)
    Reinforcement learning - Q learning and deep Q learning approaches

    Requirements
    Basic Python - we will use Panda and Numpy as well (we will cover the basics during implementations)


    Description
    Interested in Machine Learning, Deep Learning and Computer Vision? Then this course is for you!

    This course is about the fundamental concepts of machine learning, deep learning, reinforcement learning and machine learning. These topics are getting very hot nowadays because these learning algorithms can be used in several fields from software engineering to investment banking.

    In each section we will talk about the theoretical background for all of these algorithms then we are going to implement these problems together. We will use Python with SkLearn, Keras and TensorFlow.

    ### MACHINE LEARNING ###

    1.) Linear Regression

    understanding linear regression model

    correlation and covariance matrix

    linear relationships between random variables

    gradient descent and design matrix approaches

    2.) Logistic Regression

    understanding logistic regression

    classification algorithms basics

    maximum likelihood function and estimation

    3.) K-Nearest Neighbors Classifier

    what is k-nearest neighbour classifier?

    non-parametric machine learning algorithms

    4.) Naive Bayes Algorithm

    what is the naive Bayes algorithm?

    classification based on probability

    cross-validation

    overfitting and underfitting

    5.) Support Vector Machines (SVMs)

    support vector machines (SVMs) and support vector classifiers (SVCs)

    maximum margin classifier

    kernel trick

    6.) Decision Trees and Random Forests

    decision tree classifier

    random forest classifier

    combining weak learners

    7.) Bagging and Boosting

    what is bagging and boosting?

    AdaBoost algorithm

    combining weak learners (wisdom of crowds)

    8.) Clustering Algorithms

    what are clustering algorithms?

    k-means clustering and the elbow method

    DBSCAN algorithm

    hierarchical clustering

    market segmentation analysis

    ### NEURAL NETWORKS AND DEEP LEARNING ###

    9.) Feed-Forward Neural Networks

    single layer perceptron model

    feed.forward neural networks

    activation functions

    backpropagation algorithm

    10.) Deep Neural Networks

    what are deep neural networks?

    ReLU activation functions and the vanishing gradient problem

    training deep neural networks

    loss functions (cost functions)

    11.) Convolutional Neural Networks (CNNs)

    what are convolutional neural networks?

    feature selection with kernels

    feature detectors

    pooling and flattening

    12.) Recurrent Neural Networks (RNNs)

    what are recurrent neural networks?

    training recurrent neural networks

    exploding gradients problem

    LSTM and GRUs

    time series analysis with LSTM networks

    13.) Reinforcement Learning

    Markov Decision Processes (MDPs)

    value iteration and policy iteration

    exploration vs exploitation problem

    multi-armed bandits problem

    Q learning and deep Q learning

    learning tic tac toe with Q learning and deep Q learning

    ### COMPUTER VISION ###

    14.) Image Processing Fundamentals

    computer vision theory

    what are pixel intensity values

    convolution and kernels (filters)

    blur kernel

    sharpen kernel

    edge detection in computer vision (edge detection kernel)

    15.) Serf-Driving Cars and Lane Detection

    how to use computer vision approaches in lane detection

    Canny's algorithm

    how to use Hough transform to find lines based on pixel intensities

    16.) Face Detection with Viola-Jones Algorithm

    Viola-Jones approach in computer vision

    what is sliding-windows approach

    detecting faces in images and in videos

    17.) Histogram of Oriented Gradients (HOG) Algorithm

    how to outperform Viola-Jones algorithm with better approaches

    how to detects gradients and edges in an image

    constructing histograms of oriented gradients

    using support vector machines (SVMs) as underlying machine learning algorithms

    18.) Convolution Neural Networks (CNNs) Based Approaches

    what is the problem with sliding-windows approach

    region proposals and selective search algorithms

    region based convolutional neural networks (C-RNNs)

    fast C-RNNs

    faster C-RNNs

    19.) You Only Look Once (YOLO) Object Detection Algorithm

    what is the YOLO approach?

    constructing bounding boxes

    how to detect objects in an image with a single look?

    intersection of union (IOU) algorithm

    how to keep the most relevant bounding box with non-max suppression?

    20.) Single Shot MultiBox Detector (SSD) Object Detection Algorithm SDD

    what is the main idea behind SSD algorithm

    constructing anchor boxes

    VGG16 and MobileNet architectures

    implementing SSD with real-time videos

    You will get lifetime access to 150+ lectures plus slides and source codes for the lectures!

    This course comes with a 30 day money back guarantee! If you are not satisfied in any way, you'll get your money back.

    So what are you waiting for? Learn Machine Learning, Deep Learning and Computer Vision in a way that will advance your career and increase your knowledge, all in a fun and practical way!

    Thanks for joining the course, let's get started!

    Who this course is for
    This course is meant for newbies who are not familiar with machine learning, deep learning, computer vision and reinforcement learning or students looking for a quick refresher

    Homepage
    Code:
    https://anonymz.com/?https://www.udemy.com/course/introduction-to-machine-learning-in-python/


    Code:
    https://k2s.cc/file/62a36f917163e/%5B2022%5D_Machine_Learning_and_Deep_Learning_Bootcamp_in_Python.part1.rar
    https://k2s.cc/file/b55c1f7ba97bf/%5B2022%5D_Machine_Learning_and_Deep_Learning_Bootcamp_in_Python.part2.rar
    https://k2s.cc/file/4b08227de61d7/%5B2022%5D_Machine_Learning_and_Deep_Learning_Bootcamp_in_Python.part3.rar
    https://k2s.cc/file/ed5c52f703cb3/%5B2022%5D_Machine_Learning_and_Deep_Learning_Bootcamp_in_Python.part4.rar
    https://k2s.cc/file/734b1a7ec602c/%5B2022%5D_Machine_Learning_and_Deep_Learning_Bootcamp_in_Python.part5.rar
    https://k2s.cc/file/9470c415db681/%5B2022%5D_Machine_Learning_and_Deep_Learning_Bootcamp_in_Python.part6.rar
    https://k2s.cc/file/6f0ab258b9863/%5B2022%5D_Machine_Learning_and_Deep_Learning_Bootcamp_in_Python.part7.rar
    Code:
    https://rapidgator.net/file/1a575674b3c2c42dc038a68bcd7995c2/[2022]_Machine_Learning_and_Deep_Learning_Bootcamp_in_Python.part1.rar.html
    https://rapidgator.net/file/c3128e2dfbf270a12a120b45ff25f7ee/[2022]_Machine_Learning_and_Deep_Learning_Bootcamp_in_Python.part2.rar.html
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    https://rapidgator.net/file/ce03489f66d7b091214633677ceda8ec/[2022]_Machine_Learning_and_Deep_Learning_Bootcamp_in_Python.part7.rar.html

  2. #4262
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    Microsoft SQL Server 2019 - Big Data



    Microsoft SQL Server 2019 - Big Data
    Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 5.08 GB | Duration: 7h 5m



    What you'll learn
    Learn about data virtualization and data lakes
    Learn how to use Big Data Clusters to combine large volumes of streaming data for analysis along with data stored in a traditional database.
    Learn about the architectural foundations that are made up from Kubernetes, Spark, HDFS, and SQL Server on Linux
    Learn how to configure and deploy Big Data Clusters.
    Requirements
    There are no requirements or prerequisites for this course but the student should be knowledgeable in data analysis

    Description
    This course focuses on one of SQL Server 2019's most impactful features-Big Data Clusters. You will learn about data virtualization and data lakes for this complete artificial intelligence (AI) and machine learning (ML) platform within the SQL Server database engine. You will be shown how to use Big Data Clusters to combine large volumes of streaming data for analysis along with data stored in a traditional database. For instance, you can stream large volumes of data from Apache Spark in real-time while executing Transact-SQL queries to bring in relevant additional data from your corporate, SQL Server database. This course provides everything necessary to get started working with Big Data Clusters in SQL Server 2019. You will learn about the architectural foundations that are made up from Kubernetes, Spark, HDFS, and SQL Server on Linux. You will be shown how to configure and deploy Big Data Clusters. You will be ready to use and unveil the full potential of SQL Server 2019: combining different types of data spread across widely disparate sources into a single view that is useful for business intelligence and machine learning analysis.
    What a Big Data Cluster is
    How to deploy BDC
    How to analyze large volumes of data directly from SQL Server
    How to analyze large volumes of data via Apache Spark
    How to manage data stored in HDFS from SQL Server as if it were relational data
    How to implement advanced analytics solutions through machine learning
    How to expose different data sources as a single logical source using data virtualization
    This course is intended for data engineers, data scientists, data architects, and database administrators who want to employ data virtualization and big data analytics in their environments.
    Who this course is for
    This course is intended for data engineers, data scientists, data architects, and database administrators who want to employ data virtualization and big data analytics in their environments.

    Code:
    https://anonymz.com/?https://www.udemy.com/course/microsoft-sql-server-2019-big-data/


    Download from RapidGator
    Code:
    https://rapidgator.net/file/3e6d4c79cc2839d66e3a4d594d7f70eb/Microsoft_SQL_Server_2019_-_Big_Data.part1.rar
    https://rapidgator.net/file/f98419c707e07373e629355d109902e5/Microsoft_SQL_Server_2019_-_Big_Data.part2.rar
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    Download from Keep2Share
    Code:
    https://k2s.cc/file/c88be4f7563d1/Microsoft_SQL_Server_2019_-_Big_Data.part1.rar
    https://k2s.cc/file/acc48695cd708/Microsoft_SQL_Server_2019_-_Big_Data.part2.rar
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    https://k2s.cc/file/862d0081ed66d/Microsoft_SQL_Server_2019_-_Big_Data.part6.rar

  3. #4263
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    Python & Machine Learning for Financial Analysis



    Python & Machine Learning for Financial Analysis
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 8.25 GB | Duration: 23h 1m

    Master Python Programming Fundamentals and Harness the Power of ML to Solve Real-World Practical Applications in Finance


    What you'll learn
    Master Python 3 programming fundamentals for Data Science and Machine Learning with focus on Finance.
    Understand how to leverage the power of Python to apply key financial concepts such as calculating daily portfolio returns, risk and Sharpe ratio.
    Understand the theory and intuition behind Capital Asset Pricing Model (CAPM)
    Understand how to use Jupyter Notebooks for developing, presenting and sharing Data Science projects.
    Learn how to use key Python Libraries such as NumPy for scientific computing, Pandas for Data Analysis, Matplotlib for data plotting/visualization, and Seaborn for statistical plots.
    Master SciKit-Learn library to build, train and tune machine learning models using real-world datasets.
    Apply machine and deep learning models to solve real-world problems in the banking and finance sectors such as stock prices prediction, security news sentiment analysis, credit card fraud detection, bank customer segmentation, and loan default prediction.
    Understand the theory and intuition behind several machine learning algorithms for regression tasks (simple/multiple/polynomial), classification and clustering (K-Means).
    Assess the performance of trained machine learning regression models using various KPI (Key Performance indicators) such as Mean Absolute Error, Mean Squared Error, and Root Mean Squared Error intuition, R-Squared intuition, and Adjusted R-Squared.
    Assess the performance of trained machine learning classifiers using various KPIs such as accuracy, precision, recall, and F1-score.
    Understand the underlying theory, intuition and mathematics behind Artificial Neural Networks (ANNs), Recurrent Neural Networks (RNNs) and Long Short Term Memory Networks (LSTM).
    Train ANNs using back propagation and gradient descent algorithms.
    Optimize ANNs hyper parameters such as number of hidden layers and neurons to enhance network performance.
    Master feature engineering and data cleaning strategies for machine learning and data science applications.
    Requirements
    No prior experience required.

    Description
    Are you ready to learn python programming fundamentals and directly apply them to solve real world applications in Finance and Banking?
    If the answer is yes, then welcome to the "The Complete Python and Machine Learning for Financial Analysis" course in which you will learn everything you need to develop practical real-world finance/banking applications in Python!
    So why Python?
    Python is ranked as the number one programming language to learn in 2020, here are 6 reasons you need to learn Python right now!
    1. #1 language for AI & Machine Learning: Python is the #1 programming language for machine learning and artificial intelligence.
    2. Easy to learn: Python is one of the easiest programming language to learn especially of you have not done any coding in the past.
    3. Jobs: high demand and low supply of python developers make it the ideal programming language to learn now.
    4. High salary: Average salary of Python programmers in the US is around $116 thousand dollars a year.
    5. Scalability: Python is extremely powerful and scalable and therefore real-world apps such as Google, Instagram, YouTube, and Spotify are all built on Python.
    6. Versatility: Python is the most versatile programming language in the world, you can use it for data science, financial analysis, machine learning, computer vision, data analysis and visualization, web development, gaming and robotics applications.
    This course is unique in many ways
    1. The course is divided into 3 main parts covering python programming fundamentals, financial analysis in Python and AI/ML application in Finance/Banking Industry. A detailed overview is shown below
    a) Part #1 - Python Programming Fundamentals: Beginner's Python programming fundamentals covering concepts such as: data types, variables assignments, loops, conditional statements, functions, and Files operations. In addition, this section will cover key Python libraries for data science such as Numpy and Pandas. Furthermore, this section covers data visualization tools such as Matplotlib, Seaborn, Plotly, and Bokeh.
    b) Part #2 - Financial Analysis in Python: This part covers Python for financial analysis. We will cover key financial concepts such as calculating daily portfolio returns, risk and Sharpe ratio. In addition, we will cover Capital Asset Pricing Model (CAPM), Markowitz portfolio optimization, and efficient frontier. We will also cover trading strategies such as momentum-based and moving average trading.
    c) Part #3 - AI/Ml in Finance/Banking: This section covers practical projects on AI/ML applications in Finance. We will cover application of Deep Neural Networks such as Long Short Term Memory (LSTM) networks to perform stock price predictions. In addition, we will cover unsupervised machine learning strategies such as K-Means Clustering and Principal Components Analysis to perform Baking Customer Segmentation or Clustering. Furthermore, we will cover the basics of Natural Language Processing (NLP) and apply it to perform stocks sentiment analysis.
    2. There are several mini challenges and exercises throughout the course and you will learn by doing. The course contains mini challenges and coding exercises in almost every video so you will learn in a practical and easy way.
    3. The Project-based learning approach: you will build more than 6 full practical projects that you can add to your portfolio of projects to showcase your future employer during job interviews.
    So who is this course for?
    This course is geared towards the following
    Financial analysts who want to harness the power of Data science and AI to optimize business processes, maximize revenue, reduce costs.
    Python programmer beginners and data scientists wanting to gain a fundamental understanding of Python and Data Science applications in Finance/Banking sectors.
    Investment bankers and financial analysts wanting to advance their careers, build their data science portfolio, and gain real-world practical experience.
    There is no prior experience required, Even if you have never used python or any programming language before, don't worry! You will have a clear video explanation for each of the topics we will be covering. We will start from the basics and gradually build up your knowledge.
    In this course, (1) you will have a true practical project-based learning experience, we will build more than 6 projects together (2) You will have access to all the codes and slides, (3) You will get a certificate of completion that you can post on your LinkedIn profile to showcase your skills in python programming to employers. (4) All of this comes with a 30 day money back guarantee so you can give a course a try risk free! Check out the preview videos and the outline to get an idea of the projects we will be covering.
    Enroll today and I look forward to seeing you inside!
    Who this course is for
    Financial analysts who want to harness the power of Data science and AI to optimize business processes, maximize revenue, reduce costs.
    Python programmer beginners and data scientists wanting to gain a fundamental understanding of Python and Data Science applications in Finance/Banking sectors.
    Investment bankers and financial analysts wanting to advance their careers, build their data science portfolio, and gain real-world practical experience.
    There is no prior experience required, Even if you have never used python or any programming language before, don't worry! You will have a clear video explanation for each of the topics we will be covering. We will start from the basics and gradually build up your knowledge.

    Code:
    https://anonymz.com/?https://www.udemy.com/course/ml-and-python-in-finance-real-cases-and-practical-solutions/


    Download from RapidGator
    Code:
    https://rapidgator.net/file/b091b51fc7c8eaa19235ce09ee874a97/Python__Machine_Learning_for_Financial_Analysis.part01.rar
    https://rapidgator.net/file/2df3419496a8d0b948f53809fd0d0c86/Python__Machine_Learning_for_Financial_Analysis.part02.rar
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    Code:
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    https://k2s.cc/file/57df307ae005d/Python__Machine_Learning_for_Financial_Analysis.part02.rar
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    https://k2s.cc/file/9f7f3a4b3a68f/Python__Machine_Learning_for_Financial_Analysis.part09.rar

  4. #4264
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    Substance 3D Designer for Beginners



    Substance 3D Designer for Beginners
    Last Update: 3/2022 Duration: 15h 3m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 6.87 GB
    Genre: eLearning | Language: English

    Learn How to Create Material with Substance 3D Designer


    What you'll learn:
    Making building materials
    Making nature materials
    Making all kinds of fabric materials
    Making complex shapes inside Substance 3D Designer
    Requirements
    I expect you to have some basic knowledge about texturing.
    You should have Substance 3D Designer version 11.3.0 and above installed on your computer.

    Description
    Do you want to know how to make your own materials using Substance 3D Designer?
    Then I welcome you to Nexttut education's Substance 3D Designer for beginners.
    WHY SHOULD YOU LEARN FROM ME
    My name is Hamidreza Afshari and I have been a 3D Artist for animation and VFX for about 8 years now. I have worked on many short animations and a few long animated movies.
    BENEFITS
    By the end of this course,
    You'll be able to Work with Substance 3D Designer
    Make various Materials
    Knowing the procedural workflow
    WHAT WILL I LEARN
    Substance 3D Designer interface and navigation
    Making complex shapes inside Substance 3D Designer
    Making building materials with Substance 3D Designer
    Making nature materials using Substance 3D Designer
    Making all kinds of fabric materials with Substance 3D Designer
    Exporting SBSAR and texture passes
    How to optimize your graph
    Render using Nvidia Iray
    COURSE PROJECTS
    We will start by knowing the Substance 3D Designer UI and navigation.
    In chapter two, start making materials by knowing how to make basic and complex shapes.
    In chapter three . we learn how to make building materials.
    In chapter four, we learn how to make nature materials and combining multiple materials
    Finally, in chapter five we are going to make a few fabric materials, basic and complex.
    IS THIS COURSE RIGHT FOR ME
    This course is designed to teach you haw to e self-sufficient in making materials.
    This is a starter course for beginners and it is designed to teach you whatever you need to start using Substance 3D Designer.
    WHO IS NOT THE IDEAL STUDENT
    This course is not designed for absolute Substance 3D Designer beginners,
    WHAT SHOULD I KNOW OR HAVE FOR THE COURSE
    I expect you to have some basic knowledge about texturing.
    You should have Substance 3D Designer version 11.3.3 and above installed on your computer.
    JOIN ME NOW
    Join me and learn how to use Substance 3D Designer in your future Projects.
    Who this course is for
    This is a starter course for beginners and it is designed to teach you whatever you need to start using Substance 3D Designer.
    This course is designed for absolute Substance 3D Designer beginners,

    Homepage
    Code:
    https://www.udemy.com/course/substance-3d-designer-for-beginners/


    Download from RapidGator
    Code:
    https://rapidgator.net/file/05aa1e6f1fb6f7d025f279585556c4d1/substance-3d-designer-for-beginners.part1.rar
    https://rapidgator.net/file/3329f879022c2de6c41816635e41ba61/substance-3d-designer-for-beginners.part2.rar
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    https://k2s.cc/file/517afe66d506d/substance-3d-designer-for-beginners.part7.rar

  5. #4265
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    Rust programming language 2022



    Rust programming language 2022
    Genre: eLearning | MP4 | Video: h264, 1920x1080 | Audio: AAC, 48.0 KHz
    Language: English | Size: 5.0 GB | Duration: 32 Lessons (7h 6m)

    Welcome,
    In this class you will learn how to use the Rust programming language. Rust is blazingly fast and memory-efficient: with no runtime or garbage collector, it can power performance-critical services, run on embedded devices, and easily integrate with other languages. Rust's rich type system and ownership model guarantee memory-safety and thread-safety - enabling you to eliminate many classes of bugs at compile-time. Rust has great documentation, a friendly compiler with useful error messages, and top-notch tooling - an integrated package manager and build tool, smart multi-editor support with auto-completion and type inspections, an auto-formatter, and more.
    Happy Learning
    Hands-on Class Project
    The class consists for two main projects that you need to complete as proof of your successfull learning.
    The first projects consists of a small program which allows users to send different types of HTTP requests against a webserver, it has to include logging and if necessary a way of authentication. The second project needs you to create a rust crate which represents a small organization with HR, Administrators and Workers, demo the interaction between them. For example a worker creates a ticket for the HR about a malfunctioning air conditioning system.

    Code:
    https://anonymz.com/?https://www.skillshare.com/classes/Rust-programming-language/94701934


    Download from RapidGator
    Code:
    https://rapidgator.net/file/1d623c4a34667e79fed6595fe472802c/Rust_programming_language.part1.rar
    https://rapidgator.net/file/9fd25249991d011747f6a1e278bd7cec/Rust_programming_language.part2.rar
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    https://rapidgator.net/file/57b272b864e0f1bdfbf9832f533d63f9/Rust_programming_language.part6.rar
    Download from Keep2Share
    Code:
    https://k2s.cc/file/ef3fb7866bed1/Rust_programming_language.part1.rar
    https://k2s.cc/file/77123497f5045/Rust_programming_language.part2.rar
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    https://k2s.cc/file/5734837aa220b/Rust_programming_language.part5.rar
    https://k2s.cc/file/1ce2bdda93bec/Rust_programming_language.part6.rar

  6. #4266
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    Vue 3 incl. Router, VueX, Composition API & Firebase



    Vue 3 incl. Router, VueX, Composition API & Firebase
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
    Genre: eLearning | Language: English + srt | Duration: 146 lectures (15h 29m) | Size: 7.6 GB

    Learn Vue 3 the right way, includes Router, VueX, Composition API, Firebase and many projects!


    What you'll learn
    Learn the fundamentals of Vue
    Building Single Page Applications and understanding routing
    Build bigger applications with VueX
    Learning the all-new Composition API
    Understand how to build small components and big applications with Vue
    Build real life application projects with backend and authentication, and deploy them on the web!
    Requirements
    Basic JavaScript understanding
    Basic HTML and CSS understanding
    Description
    Learn one of the most essential skills in 2022 and beyond - the Vue Framework!
    This course will take you from a complete beginner to a Vue master in a short amount of time!
    The course covers
    Vue basics (app instance, templates, conditional rendering, loops, directives, form input binding, reactivity)
    Components (component communication, props, events emitting, custom v-model directive, slots)
    Single File Components (Vue CLI, build step)
    Vue Router (creating routes, creating links, named routes, parameters, catch-all routes, programmatic navigation, route params as props, repeatable params, redirects, aliases, nested routes, navigation guards)
    VueX and Shared State Management (mutations, actions, getters, VueX modules, VueX namespacing, VueX plugins, VueX helper functions)
    Composition API (How to convert from Options API to Composition API, complete Composition API introduction including all-new functions, composables, the Script Setup, Vite)
    Firebase (Firestore database, managing documents, and collections, Firestore transactions, real-time queries & updates, Firebase Authentication and security rules)
    Deploying your app to Firebase hosting
    The course is full of diagrams to explain more complicated topics, but generally, it's mostly hands-on - with code written on the screen.
    It's not your typical YouTube tutorial though! I explain every bit of code that's written, as my goal is that you understand everything so you can do easily do it yourself later!
    See my other course reviews, and enroll now, to get the most up-to-date, most substantial, and most fun Vue learning experience possible!
    Who this course is for
    Beginner JavaScript programmers who want to learn Vue
    Beginners keen on learning

    Code:
    https://anonymz.com/?https://www.udemy.com/course/vuejs-course/


    Download from RapidGator
    Code:
    https://rapidgator.net/file/4a02206046a5c9aad5a368fbe8e80a22/Vue_3_incl._Router_VueX_Composition_API__Firebase.part1.rar
    https://rapidgator.net/file/df674e9daed6241ec6bd398904f49b06/Vue_3_incl._Router_VueX_Composition_API__Firebase.part2.rar
    https://rapidgator.net/file/b399565c1663685f8471e22cd05922ec/Vue_3_incl._Router_VueX_Composition_API__Firebase.part3.rar
    https://rapidgator.net/file/000f18e06913db1ee67b149af6420801/Vue_3_incl._Router_VueX_Composition_API__Firebase.part4.rar
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    Download from Keep2Share
    Code:
    https://k2s.cc/file/ca495ef6f7235/Vue_3_incl._Router_VueX_Composition_API__Firebase.part1.rar
    https://k2s.cc/file/f6f8e24f90fa0/Vue_3_incl._Router_VueX_Composition_API__Firebase.part2.rar
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    https://k2s.cc/file/749d923c5a039/Vue_3_incl._Router_VueX_Composition_API__Firebase.part7.rar
    https://k2s.cc/file/98148f5052442/Vue_3_incl._Router_VueX_Composition_API__Firebase.part8.rar

  7. #4267
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    Professional Ui Ux Course with live Project | Figma course



    Professional Ui Ux Course with live Project | Figma course
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
    Genre: eLearning | Language: English + srt | Duration: 56 lectures (5h 32m) | Size: 6.26 GB

    Learn Everything About Figma . Even if you don't have any idea


    What you'll learn
    All the basic tools about Figma with live project.
    Well explain about Components,Design Guide,Prototype,Constraints,Figma Plugin ,Community,
    Proper Design Guide for you.
    Color and font Style Shortcut.
    How you can get Project and which website is best.
    How to research Market
    How to get project from Facebook and LinkedIn
    How to stay up to date.
    Many more things.
    Requirements
    Just need Internet and computer That's It.
    Description
    Do you want to learn Ux UI Design and want to earn thousand $ of every single month? If your answer is yes then you are on the right course.
    I am Expert Azi. Founder Of Getwpexpert . Basically, It's a web service agency. we are helping people to build their powerful websites.
    Last 5 years am working on youtube Teaching People WordPress and Front end design. Last Few years I have been working on Fiverr and Upwork as a WordPress expert. I have already finished 200+ Projects Online and offline
    In this Course, You get to learn A to Z about Figma. well, explain Auto Layout, Prototype, Constraints, Figma Plugins, and Many more things that it necessary. And The big thing is I will show you a Live Project I will cover A to Z. How you can take inspiration and design guide. In the Project that I show you, I mainly focus on responsiveness. As you know most people visit websites via mobile phone.
    What you will learn from this course?
    I divided this course into fews division.
    1. We will know some basics. Like Overview, Why Figma, Account Creation, Etc.
    2. Then Some Tools.Move Tool, Scale Tool, Frame, Slice, Rectangle, Line, Arrow, Ellipse, Polygone, and many more.
    3. In the Intermediate Section I explain the Proper Design Guide for you, Color Style Shortcut, Font style Shortcut
    How Ruler Option and Layout Grid?
    Why Components and Benefits
    Variants Components How does its work?
    Images shortcut in Figma
    Alignment Object Details.
    How do the Figma Plugins work?
    Figma Comunity Secrects.
    Constraints of magic.
    Awesome Prototype
    Many More
    4 In Boost Your Power Section we complete a Project.
    Mainly we make a plan then we start the design. Check the course module then you will understand.
    Earn money and Freelancing Section we will learn (Upcoming).
    How you can get Project and which website is best.
    How to create a Fiverr account and Branding.
    How to create a Fiverr gig and Idea.
    Setting up the account + Marketing mistake right way.
    How to get projects from Facebook and LinkedIn.
    How to research Market.
    Upwork secret.
    How to stay up to date.
    I mainly Focus on beginners and intermediates . Who wants to start. If you already know about it a little bit then start now. Because I show many ways that you can sell your skill and generate money.
    One good news is when I update the course you don't have to spend the extra money you will get all content absolutely for free. so why are you waiting for? Enroll Now
    Who this course is for
    Beginners and Intermediate

    Code:
    https://anonymz.com/?https://www.udemy.com/course/professional-ui-ux-course-with-live-project-infigma-by-expert-azi/


    Download from RapidGator
    Code:
    https://rapidgator.net/file/a3c295a84c69b115958d355f3ad619ba/Professional_Ui_Ux_Course_with_live_Project___Figma_course.part1.rar
    https://rapidgator.net/file/dde45eee26b020f8e7c61f29ccd69969/Professional_Ui_Ux_Course_with_live_Project___Figma_course.part2.rar
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    Download from Keep2Share
    Code:
    https://k2s.cc/file/4a7c65eeec351/Professional_Ui_Ux_Course_with_live_Project___Figma_course.part1.rar
    https://k2s.cc/file/7a67382dcb9a9/Professional_Ui_Ux_Course_with_live_Project___Figma_course.part2.rar
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    https://k2s.cc/file/83f36614a982e/Professional_Ui_Ux_Course_with_live_Project___Figma_course.part7.rar

  8. #4268
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    American English Consonants for All



    American English Consonants for All
    Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
    Language: English | Size: 6.58 GB | Duration: 5h 27m



    What you'll learn
    Learn how to produce all the English consonants
    Learn how to distinguish commonly confused consonants
    Reinforce your practice with repetition audio practice
    Learn to self-correct.
    Requirements
    the ability to read English

    Description
    You can learn to articulate clearly! Messy consonants make it difficult or impossible for others to understand you. Learn to produce and distinguish between all the English consonants at the beginning, in the middle or at the end of a word. The course is dense with detail about every consonant, so you may have to watch certain parts more than once to make sure you've got it. You'll learn different spelling patterns for each consonant sound. You'll learn the common pitfalls for each consonant sound and how to avoid them. And you'll l earn how consonants change as they connect to other words. Example sentences are from every day life as well as high tech or business fields, so you will be exposed to a variety of vocabulary. The course includes repetition audio practice so you can repeat the sentences over and over again to develop muscle memory. This course has lessons for learners from various language backgrounds. It will be beneficial for Chinese, Indian, Vietnamese, Japanese, Spanish, French, German, Russian speakers and more. The instructor has free office hours on Zoom once a month, so you are invited to meet her for questions and to have her check your pronunciation and whether you are incorporating the information properly.
    Who this course is for
    Anyone who wants to improve their pronunciation of American English

    Code:
    https://anonymz.com/?https://www.udemy.com/course/american-english-consonants-for-all/


    Download from RapidGator
    Code:
    https://rapidgator.net/file/34bf788eb71d3e666c85f63c0ebb00c9/American_English_Consonants_for_All.part1.rar
    https://rapidgator.net/file/b1d16c032595460eade1ce1c667cbf13/American_English_Consonants_for_All.part2.rar
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    Download from Keep2Share
    Code:
    https://k2s.cc/file/7311a8c4d2f68/American_English_Consonants_for_All.part1.rar
    https://k2s.cc/file/8d4616a608765/American_English_Consonants_for_All.part2.rar
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    https://k2s.cc/file/59300c6c0c44a/American_English_Consonants_for_All.part7.rar

  9. #4269
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    Java Basics for Beginners (2022)



    Java Basics for Beginners (2022)
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
    Genre: eLearning | Language: English + srt | Duration: 139 lectures (25h 26m) | Size: 8.2 GB

    Java Tutorial for Complete Beginners and for those who wants move from Manual Testing to Automation Testing.


    What you'll learn
    What is Java
    Java Features
    Basics to advanced topics of Java
    Java OOPs concepts
    Requirements
    Little bit of Computer Knowledge
    Interest to learn programming
    Description
    Java is a high-level programming language to develop different kind of applications like web, mobile, desktop, enterprise application, scientific application and to develop games.
    This course focused on all the topics in Java like
    1. Java Introduction
    2. Java Language Fundamentals.
    3. Operators in Java
    4. Type Casting in Java
    5. Methods in Java
    6. Variables in Java
    7. Static Keyword in Java
    8. Arrays in Java
    9. Constructor in Java
    10. Strings in Java
    11. Control Statements in Java
    12. Comments in Java
    13. System Properties in Java
    14. Command Line Arguments
    15. Modifiers in Java
    16. Main Method Explained in Java
    17. Scanner Class in Java
    18. Recursion in Java
    19. Buffered Reader Class in Java
    20. OOPS Concepts in Java
    21. Inheritance in Java
    22. Abstraction in Java
    23. Interface in Java
    24. Polymorphism in Java
    25. Final in Java
    26. Encapsulation in Java
    27. Exception Handling in Java
    28. Collection Framework
    29. Maps in Java
    30. will add more soon...
    This course designed to learn Java from basic to advanced step by step.
    **************************** Highlights of this course ****************************
    This course will make to comfortable to become master in Java even if you do not have any basic knowledge on Java before. This course will teach you all the topics from basics to advanced configurations.
    All the topics explained in detail by taking relevant examples for clear understanding.
    So, please enroll today and learn Java.
    Who this course is for
    Beginners who wants to learn Java concepts in detail.
    People are moving from Manual Testing to Automation like Selenium with Java.

    Code:
    https://anonymz.com/?https://www.udemy.com/course/java-basics-for-complete-beginners/


    Download from RapidGator
    Code:
    https://rapidgator.net/file/37a0a39ff6ec7a7b0440b702a6f6ab14/Java_Basics_for_Beginners.part01.rar
    https://rapidgator.net/file/8ff0bfb159311bb199a3f284411df60d/Java_Basics_for_Beginners.part02.rar
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    https://k2s.cc/file/6062326aa4488/Java_Basics_for_Beginners.part09.rar

  10. #4270
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    Complete Procreate Megacourse Beginner to Expert



    Complete Procreate Megacourse Beginner to Expert
    Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
    Language: English | Size: 7.9 GB | Duration: 9h 30m



    What you'll learn
    How to use Procreate and its tools
    The principles of drawing and sketching in Procreate
    The principles of illustrations in Procreate
    How to use different brushes
    How to sketch out, colour, render and master your art
    The basics of animation
    How to create 3D models
    The theory behind your creative choices
    Requirements
    No previous knowledge of Procreate required
    An iPad
    A desire to learn!
    A positive attitude!

    Description
    Learn digital art with Procreate!
    Draw like a pro!
    Have you ever wanted to learn how to draw digitally? In the era of digital media, we see thousands of drawings and animations that are actually produced on an iPad. Maybe you already doodle on a piece of paper and have been wanting to take the next step. Whether you're a casual doodler or you want to make a career out of illustration, drawing digitally has been the trend for the last few years. The current tools let you achieve way more than you ever imagined.
    In this course, you're going to learn everything about digital illustration and some animation in Procreate. You will learn about drawing and sketching as well as canvas settings, brushes, layers, masks, textures and such. You will start and complete a digital illustration piece that you'll be able to export in high-resolution, print it and gladly hang on your wall.
    Our instructors have years of experience not only in digital art, but also in teaching, and the expertly-crafted syllabus is designed to be easy to follow and thorough. We've even included plenty of examples designed and drawn on-screen for you to study. That's why this is the only Procreate course you'll ever need to create impeccable digital art and illustrate like a pro!
    Start digitalizing your art today!
    Who this course is for
    Anyone who wants to learn to create digital art - no experience needed!
    Anyone who wants to draw and sketch on an iPad
    Artists who want to learn new styles
    Anyone with specialised needs (cartoonists, digital artists, illustrators, animators, graphic designers)

    Code:
    https://anonymz.com/?https://www.udemy.com/course/complete-procreate-megacourse-beginner-to-expert


    Download from RapidGator
    Code:
    https://rapidgator.net/file/b667cba96e96edc110126e28530226f6/Complete_Procreate_Megacourse_Beginner_to_Expert.part01.rar
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    https://k2s.cc/file/f2daf8dae897d/Complete_Procreate_Megacourse_Beginner_to_Expert.part02.rar
    https://k2s.cc/file/1a8432dcc9ec1/Complete_Procreate_Megacourse_Beginner_to_Expert.part03.rar
    https://k2s.cc/file/dadf2ea1979bc/Complete_Procreate_Megacourse_Beginner_to_Expert.part04.rar
    https://k2s.cc/file/14ab24e90d683/Complete_Procreate_Megacourse_Beginner_to_Expert.part05.rar
    https://k2s.cc/file/6e59b3567d449/Complete_Procreate_Megacourse_Beginner_to_Expert.part06.rar
    https://k2s.cc/file/ed69e384aa45c/Complete_Procreate_Megacourse_Beginner_to_Expert.part07.rar
    https://k2s.cc/file/b77255ef99894/Complete_Procreate_Megacourse_Beginner_to_Expert.part08.rar

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