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 – Introduction 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 that 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.