Course Calendar

Introduction to Python and Jupyter Notebooks

Feb 20, 2020: Section 1.1Introduction to Anaconda, Google Colab; Slides; Section 1.2Revesion of Python basics; Notebook-1; Notebook-2; Slides

Data Processing and Visualization

Feb 23, 2020: Section 2.1.1Numpy; Notebook; Slides; Section 2.1.2Pandas; Notebook; Slides
Feb 24, 2020: Section 2.2.3Matplotlib; Notebook; Slides; Section 2.2.4Seaborn; Notebook; Slides

Linear and Logistic Regression

Mar 01, 2020: Section 3.1.1Linear Regression; Notebook-1; Notebook-2; Slides; Section 3.1.2Logistic Regression; Notebook-1; Notebook-2; Slides :

SVM, KNN, Decision Trees & Random Forest

Mar 07, 2020: Section 4.1.1K nearest Neighbour & Distances; Notebook; Slides; Section 4.1.2Naive Bayes; Notebook; Slides; Section 4.1.3Probability Theory, Decision Tree, Random Forest; Notebook-1; Notebook-2; Notebook-3; Slides
Mar 08, 2020: Section 4.2.1Support Vector Machines(SVMs); Notebook; Slides; Section 4.2.2XGBoost, CATBoost; Notebook; Slides

Introduction to Deep Learning

Transfer Learning