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

33

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

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

What Will I Learn?

  • Master Machine Learning on Python & R
  • Have a great intuition of many Machine Learning models

  • Make accurate predictions

  • Make 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
Requirements
  • Just some high school mathematics level.

Description

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
  • Part 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
  • Part 4 – Clustering: K-Means, Hierarchical Clustering
  • Part 5 – Association Rule Learning: Apriori, Eclat
  • Part 6 – Reinforcement Learning: Upper Confidence Bound, Thompson Sampling
  • Part 7 – Natural Language Processing: Bag-of-words model and algorithms for NLP
  • Part 8 – Deep Learning: Artificial Neural Networks, Convolutional Neural Networks
  • Part 9 – Dimensionality Reduction: PCA, LDA, Kernel PCA
  • Part 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 this course is for:
  • 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 Learning.
  • Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.
  • Any students in college who want to start a career in Data Science.
  • Any data analysts who want to level up in Machine Learning.
  • Any people who are not satisfied with their job and who want to become a Data Scientist.
  • Any people who want to create added value to their business by using powerful Machine Learning tools.

Created by Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, SuperDataScience Support
Last updated 7/2019
English
English [Auto-generated]

Size: 6.32 GB

Download Now

https://www.udemy.com/machinelearning/.

33 Comments
  1. sid says

    downloading upto 21% only…..

    1. FCS says

      @sid do check reforce

    2. sujata says

      how to download this course

  2. Prateek says

    Seeds

  3. shubham says

    Seeds

  4. Viper says

    Seeds

  5. He he says

    Seeds

  6. max says

    Seed Please

  7. Raj says

    seeds

  8. Shriya Nair says

    Please provide seeds

  9. Hung Nguyen says

    Seed Please

  10. KESHAV KISHOR says

    seed please

  11. Abdulraman Usama says

    seed

  12. kumar says

    seed

  13. GUNUKULA Ravi says

    Seed Please

  14. Ahmad says

    seeds plz

  15. vikash says

    seeds please

  16. Apu Sarkar says

    Seeds

  17. Apu says

    Seeds

  18. MANISH KUMAR says

    seeed pleaseeee…

  19. Mridul says

    seeds please..

  20. First Val says

    please update with the latest version 4/2019

    1. Tester says

      I’m a tester 🙂

  21. Nishchay pratap says

    Seeds please

  22. Arun mahendrakar says

    Seeds please

  23. Pyaar Singh says

    seeds please

  24. mihika says

    seeds please

  25. Anyone says

    update please

  26. Aman Singh says

    Update please 7/2019

  27. Ruhul Amin says

    Please update latest version 7/2019

  28. SS says

    Why does this appear again? is there something new in this?

  29. Yash Bhadra says

    seeds please

  30. Ahmad says

    seeds plz

Reply To MANISH KUMAR
Cancel Reply

Your email address will not be published.