Learn Machine Learning from Scratch by Real world Examples, Get Exposure to some of the Most Useful and Powerful Predictive Modelling Strategies used in the Real World by Industry Leaders and Domain Experts. Practice Machine Learning Algorithms on Real World Datasets and Become an Expert.
✔ Learn to Handle Missing values in a Real-world Scenario.
✔ Learn to Handle Outliers in a Real-world Scenario.
✔ Learn Data Manipulation Functions for Cleaning the Data.
✔ Learn to Extract Features from Dates and Times.
✔ Learn to Extract Features from Numerical Data and Categorical Data.
✔ Learn Advanced Functions to Extract New Features from the Data.
✔ Implement Machine Learning Algorithms.
✔ Learn Regularization Techniques such as Ridge, Lasso, and Elastic Net.
✔ Learn Feature Selection, Hyper Parameter Tuning for Improving the Model.
✔ Implement Decision Trees and Random Forestsusing Sklearn.
✔ Learn Gini Index and Information Gain.
✔ Understand the working of Random Forests and Decision Trees in Depth.
✔ Understand the Concept of Boosting using Ada Boosting Gradient Boosting.
✔ Learn to implement the XG Boost Model.
✔ Learn about the Ensembling Techniques used to Enhance Accuracy of Predictive Models.