README.md

#Machine Learning Batch June 2019 - Pitampura

• class 01: Introduction to ML and Basics of Python programming.
• class 02: Basics of Stats and Numerical computation
• class 03: K-Nearest Neighbors Algorithm
• class 04: Real Time Face Detection and Recognition Project
• class 05: K-Means Clustering and Color Extraction Project
• class 06: Naive Bayes Classifier
• class 07: Decission Trees
• class 08: Random Forest Classifier and Linear Regression
• class 09: Logistic Regression
• class 10: NN from Scratch
• class 11: Keras NN
• class 12: Convolution Neural Networks
• class 13: Transfer Learning
• class 14: Dimensionality Reduction using Autoencoders,TSNE and PCA
• class 15: Gans and Markov Chain
• class 16: Word_2_vec, Glove Embeddings and Product Recommendation System
• class 17: Emoji Prediction using RNN ans LSTM
• class 18: Support Vector Machine