- 1.Simple Linear regression using statsmodel & Enclosing data
- 2.Multiple Linear regression using statsmodel & Enclosing data
- 3.Transforming Multiple to linear Regression & Enclosing data
- 4.Simple Linear regression using scikit-learn & Enclosing data
- 5.Multiple Linear regression using scikit-learn & Enclosing data
- 6.Standardization using scikit-learn & Enclosing data
- 7.Project to predict price of 2nd hand car & Enclosing data
- 8.Multiple Regression Line using scikit learn & Enclosing data
- 9.Binary prediction using scikit-learn & Enclosing data
- 10.Logistic regression (probability) & Enclosing data
- 11.how to incorporate categorical values & Enclosing data
- 11.Making predictions and confusion matrix & Enclosing data
- 12.Basics of clustering(K-Means) & Enclosing data
- 13.A project on market segmentation & Enclosing data
- 14.A project on different distance classifiers and their misclassification rate & Enclosing data
- 15.A project on Naive Bayes Classifier
- 16.A project on River-NonRiver Classifier based on Bayes Classification [& Enclosing images are named 1,2,3,4.jpg]
- 17.Linear Regression applied from scratch & Enclosing data
- 18.Multiple Regression applied from scratch & Enclosing data
- 19.Implementation of Principal Component Analysis From Scratch [& Enclosing images are named 1,2,3,4.jpg]
- 20.Implementation of Linear Discriminant Analysis From Scratch [& Enclosing images are named 1,2,3,4.jpg]
- 21.Implementation of Perceptron of Basic Gates (and,or,nand,nor and exor) From Scratch
- 22.Implementation of K-Means And K-Medoids From Scratch [& Enclosing images are named 1,2,3,4.jpg]