Python for Machine Learning bootcamp

Business · Data & Analytics · Data Science
Python for Machine Learning bootcamp


20 hours

English (US)

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.

  • 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
  • Make powerful analysis
  • Have a computer (either Mac, Windows, or Linux)
  • No prior knowledge of Python is required.
  • No previous programming experience is needed.
behi school code
behi school code
software developer engineer

Related Courses