Machine Learning A-Z™: Hands-On Python & R In Data Science free download

Machine Learning A-Z™: Hands-On Python & R In Data Science free download

Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.

Created by Kirill EremenkoHadelin de PontevesSuperDataScience Team

What Will I Learn?

  • Master Machine Learning on Python & R
  • Have a great intuition of many Machine Learning models
  • Make accurate predictions
  •  powerful analysis
  • Make robust Machine Learning models
  • Create strong added value to your business
  • Use Machine Learning for personal purpose
  • Handle specific topics like Reinforcement Learning, NLP and Deep Learning
  • Handle advanced techniques like Dimensionality Reduction
  • Know which Machine Learning model to choose for each type of problem
  • Build an army of powerful Machine Learning models and know how to combine them to solve any problem


  • Just some high school mathematics level.


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:

Part 1 – Data Preprocessing

2 – Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression

Part 3 – Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification

4 – Clustering: K-Means, Hierarchical Clustering

Part 5 – Association Rule Learning: Apriori, Eclat

6 – Reinforcement Learning: Upper Confidence Bound, Thompson Sampling

Part 7 – Natural Language Processing: Bag-of-words model and algorithms for NLP

8 – Deep Learning: Artificial Neural Networks, Convolutional Neural Networks

Part 9 – Dimensionality Reduction: PCA, LDA, Kernel PCA

10 – Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost

Moreover, the course is packed with practical exercises which 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.

And as a bonus, this course includes both Python and R code templates which you can download and use on your own projects.

Who is the target audience?

Anyone interested in Machine Learning.

Students who have at least high school knowledge in math and who want to start learning Machine 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 Learnin

people who are not that comfortable with coding but who are interest in Machine Learning and want to apply it easily on datasets.

Any students in college who want to start a career in Data Science.

data analysts who want to level up in Machine Learning.

Any people who are not satisfie with their job and who want to become a Data Scientist.

people who want to create added value to their business by using powerful Machine Learning tools.

Machine Learning A-Z™: Hands-On Python & R In Data Science free download

Download From Here


Hi i an admin of this site. i will improve website for all of you. you give me suggestion and that suggestion accepted by us in few time. in this website we will upload all courses of udemy and many more other platform. if you suggest any course then we will upload for you


Nikhil Yadav · July 17, 2018 at 12:11 pm

Please upload this course
I know how a website admin earn by clicking on ads I click on every ad that I seen on your website please upload this course.

    admin · August 3, 2018 at 3:58 pm

    we will try to upload your recommended course.

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