Objective of the repository is to learn and build machine learning models using Pytorch
30 Days Of Machine Learning Using Pytorch
Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch
List of Algorithms Covered
Day 1 – Linear Regression Day 2 – Logistic Regression Day 3 – Decision Tree Day 4 – KMeans Clustering Day 5 – Naive Bayes Day 6 – K Nearest Neighbour (KNN) Day 7 – Support Vector Machine Day 8 – Tf-Idf Model Day 9 – Principal Components Analysis Day 10 – Lasso and Ridge Regression Day 11 – Gaussian Mixture Model Day 12 – Linear Discriminant Analysis Day 13 – Adaboost Algorithm Day 14 – DBScan Clustering Day 15 – Multi-Class LDA