Description
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 Fundamentals2. Numpy3. Pandas4. Some Fun with Maths5. Inferential Statistics6. Hypothesis Testing7. Data Visualisation8. EDA9. Simple Linear Regression10. Multiple Linear regression11. Hotstar/ Netflix: Case Study12. Gradient Descent13. KNN14. Model Performance Metrics15. Model Selection 16. Naive Bayes17. Logistic Regression18. SVM19. Decision Tree20. Ensembles - Bagging / Boosting21. Unsupervised Learning22. Dimension Reduction23. Advance ML Algorithms24. Deep Learning
