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Learn to create Machine Learning Algorithms in Python from Zero to Hero

Best Udemy Free Courses 2023,Machine Learning,Python,Tech and Progrmming

Python for Machine Learning bootcamp

 

 

What you’ll learn
  • Become a professional Python Developer and get hired
  • Master modern Python 3 fundamentals as well as advanced topics
  • Learn Object Oriented Programming
  • Learn Machine Learning with Python
  • Learn Function Programming
  • Create data visualizations using matplotlib and the seaborn modules with python.
  • Use the pandas module with Python to create and structure data.
  • Use the Jupyter Notebook Environment.
  • Use the numpy library to create and manipulate arrays.
  • Build an army of powerful Machine Learning models and know how to combine them to solve any problem

 

 

Requirements
  • Have a computer (either Mac, Windows, or Linux)
  • No prior knowledge of Python is required.
  • No previous programming experience is needed.
 
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:

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.

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DEEPAK SAGAR
Deepak Sagar
2 years ago

Where is the coupon?

Qusay Salih
Qusay Salih(@qusaysalih)
4 years ago

Where is the coupon ??????