GitHub - sandyaveas/Machine-Learning: Machine Learning practise assignments

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
Assignment 1 - Python Mandatory Assignment		Assignment 1 - Python Mandatory Assignment
Assignment 10 - GBDT on Donors Choose dataset		Assignment 10 - GBDT on Donors Choose dataset
Assignment 11 - Bootstrap samples in Random Forest		Assignment 11 - Bootstrap samples in Random Forest
Assignment 15 - Facebook Friend Recommendation		Assignment 15 - Facebook Friend Recommendation
Assignment 2 - Exploratory Data Analysis on Haberman Dataset		Assignment 2 - Exploratory Data Analysis on Haberman Dataset
Assignment 3 - TFIDF vectorizer		Assignment 3 - TFIDF vectorizer
Assignment 4 - RandomSearchCV with k fold cross validation on KNN		Assignment 4 - RandomSearchCV with k fold cross validation on KNN
Assignment 5 - Compute Performance metrics without Sklearn		Assignment 5 - Compute Performance metrics without Sklearn
Assignment 6 - Naive Bayes on Donors Choose dataset		Assignment 6 - Naive Bayes on Donors Choose dataset
Assignment 7 - Implement SGD Classifier with Logloss and L2 regularization Using SGD without using sklearn		Assignment 7 - Implement SGD Classifier with Logloss and L2 regularization Using SGD without using sklearn
Assignment 8 - Behavior of Linear Models		Assignment 8 - Behavior of Linear Models
Assignment 9 - Decision Trees on Donors Choose dataset		Assignment 9 - Decision Trees on Donors Choose dataset
readme		readme