Want to become a good Data Scientist? Then this is a right course for you.This course has been designed by IIT professionals who have mastered in Mathematics and Data Science. We will be covering complex theory, algorithms and coding libraries in a very simple way which can be easily grasped by any beginner as well.

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 from beginner to advance level.

We have solved few Kaggle problems during this course and provided complete solutions so that students can easily compete in real world competition websites.

We have covered following topics in detail in this course:
1. Python Fundamentals
2. Numpy
3. Pandas
4. Some Fun with Maths
5. Inferential Statistics
6. Hypothesis Testing
7. Data Visualisation
8. EDA
9. Simple Linear Regression
10. Multiple Linear regression
11. Hotstar/ Netflix: Case Study
12. Gradient Descent
13. KNN
14. Model Performance Metrics
15. Model Selection
16. Naive Bayes
17. Logistic Regression
18. SVM
19. Decision Tree
20. Ensembles - Bagging / Boosting
21. Unsupervised Learning
22. Dimension Reduction
23. Advance ML Algorithms
24. Deep Learning


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