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#Machine Learning Batch Aug 2018 - Pitampura

• class 01: Introduction to ML and Basics of Python programming.
• class 02: Basics of Stats and Numerical computation
• class 03: K-nearest neighbours
• class 04: Face recognition with KNN and K-means clustering
• class 05: Linear Regression
• class 06: Logistic Regression
• class 07: Naive Bayes
• class 08: Support Vector Machine
• class 09: Decision Tress
• class 10: Random Forest and Principal Component Analysis
• class 11: Doubt Class
• class 12: Neural Networks introduction and numpy code
• class 13: Neural Networks with Keras
• class 14: Convolutional Neural Networks
• class 15: Autoencoders and CNN Architectures
• class 16: Transfer Learning and Markov Chains
• class 17: RNN and LSTM
• class 18: Tensorflow
• class 19: Word Embeddings and NLI
• class 20: GANs
• class 21-22: Image Captioning