#Machine Learning Batch Dec 2018 - Pitampura

• class 01: Introduction to ML and Basics of Python programming.
• class 02: Basics of Stats and Numerical computation
• class 03: KNN
• class 04: Face Recognition using KNN
• class 05: Linear Regression and Gradient Descent
• class 06: K-means and most dominant color extraction
• class 07: Decision Tress
• class 08: Locally weighted Regression and nltk
• class 09: Logistic Regression
• class 10: Neural Networks introduction and numpy code
• class 11: Neural Networks with Keras
• class 12: Convolutional Neural Networks
• class 13: CNN Architectures
• class 14: Transfer Learning
• class 15: Markov Chains
• class 16: Autoencoders and PCA
• class 17: Word Embeddings
• class 18-19: F-RCNN and MobileNet
• class 19: RNNs and LSTM
• class 21: GANs
• class 22-23: Image Captioning