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