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[FREE]Python for Machine Learning bootcamp

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:

01 – Python basic

02 – Object-Oriented Programming

03 – Numpy

04 – Matplotlib

05 – Panda

06 – Data Visualization  – Plotly and Cufflinks

07 – Data Visualization in Pandas

08 – Seaborn

09 – In troduction to Machine Learning 

10 – Linear Regression

11 – Logistic Regression Titanic Dataset

12 – KNN algorithm

13 – SVM

14 – Decision Tree Classifier and Regressor

15 – Random Forest Classifier and Regressor

16 – K-Mean Clustering

17 – Principal Component Analysis (PCA)

18 – Ensemble Learning

19 – Learning Curve

20 – Python Interview Questions

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  Python  code templates which you can download and use on your own projects.

Who this course is for:

  • Anyone who wants to master Python 3
  • Anyone looking to level up their skills and master a new programming language
  • Anyone who wants to get into: Machine Learning, Data Science and other hot job markets
  • hose who know Python basics and want to master Python
  • Any people who want to create added value to their business by using powerful Machine Learning tools.

Also Check:- [100%OFF]Learn to Code with Python 3!

The post [FREE]Python for Machine Learning bootcamp appeared first on Tricksinfo.

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