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    The Complete Ensemble Learning Course 2021 With Python

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    The Complete Ensemble Learning Course 2021 With Python - Online Course Download
    The Complete Ensemble Learning Course 2021 With Python - Online Course Download
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    Data Science Development free online course free udemy paid course freecourse freecoursesite Machine Learning udemy course download udemy free download

    What you'll learn :

    The Complete Ensemble Learning Course 2021 With Python

    Support vector machines
    Logistic Regression Implementation
    Decision trees
    K-Nearest Neighbors
    K-means
    Hard and soft voting
    Meta-Learning
    Base learners and meta-learner
    Bootstrapping
    Bagging
    AdaBoost
    Gradient boosting
    XGBoost
    Forest trees
    Random forests
    Extra trees
    Keras.
    Pandas.
    Matplotlib.

    Requirements :

    Basic knowledge of machine learning
    Basic knowledge of Python
    But everything will be taught from the roundup.

    Description :

    Welcome to The Complete Ensemble Learning Course 2021 With Python

    Interested in the field of Machine Learning? Then this course is for you!

    This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way.

    We will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

    This course is fun and exciting, but at the same time, we dive deep into Machine Learning. It is structured the following way:

    Section 1: Introduction.
    Section 2: Basic Machine Learning concept
    The Section 3: Basic Ensemble Learning concept
    Section 4: Voting Method
    Section 5: Stacking Method
    The Section 6: Bagging Method
    Section 7: Boosting Method
    Section 8: Random Forests.
    The Section 9: Clustering
    Section 10: Predicting Bitcoin Prices – REAL-WORLD PROBLEMS
    Section 11: Movie Recommendation system -REAL-WORLD PROBLEMS

    Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models. There are two big projects one-three small projects to practice what you have learned throughout the course. These projects are listed below:

    Handwritten Digit.
    Breast Cancer Detection
    Diabetes Prediction
    Bitcoin Predictions
    Movie Recommendation system

    Become a machine learning guru today! I will see you inside the course!

    Who this course is for :

    Anyone interested in Deep Learning, Machine Learning and Ensemble Learning
    Students who have at least high school knowledge in math and who want to start learning Machine Learning, and Ensemble Learning
    Any intermediate-level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.
    Any students in college who want to start a career in Data Science.
    AI experts who want to expand on the field of applications.
    Data Scientists who want to take their AI Skills to the next level.
    Anyone passionate about Machine Learning and Ensemble Learning.
    Last updated 5/2021

    Course Size Details :

    16 hours on-demand video
    44 downloadable resources
    Full lifetime access
    Access on mobile and TV
    Certificate of completion

    View Demo

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