Part - 1
- Function identification from plots
- Function transformation identification
- Introduction to break-even analysis
- Matrix solution with Numpy
- Visualizing Vectors
- Matrix Operations: Calculating the time taken for sunlight to reach earth each day
- Matrix Search
- Use of Matrices in performing linear equations
- Finding the probability of state transitions
Part - 2
- Timing vectorized operations in Numpy
- Data table manipulation
- The student dataset
- Visualization of probability distributions
- Activity: Analyzing the communities and crime dataset
- Using a string column to produce a numerical column
- Calculating descriptive statistics
- Practicing EDA
- Activity: Finding out highly rated strategy games
Part - 3
Write Python scripts to perform unsupervised clustering techniues i. K-means ii. E-M clustering
Part - 4 Write Python scripts to develop following Machine learning tasks on any chosen dataset i. Linear Regression ii. Logistic Regression iii. Bayesian Classifiers iv. Adaboost classifiers v. decision tree classifier
Part - 5 Write Python script to develop following Neural Networj models for classfication on any chosen dataset i. Simple Multilayer perceptron ii. Deep Neural Networks (CNN/RNN)