Perceptron II Noida Summer 2018

• 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
• class 05: K-means clustering
• class 06: Decision Tress and Dominant Color Extraction Project
• class 07: Principal Component Analysis
• class 08: Linear Regression
• class 09: Logistic Regression
• class 10: Neural Networks with Numpy
• class 11: Neural Nets with PyTroch
• class 12: Convolutional Neural Networks
• class 13: AutoEncoders and Dropout in NN
• class 14: Markov Chains
• class 15: Attention Mechanisms and RNN
• class 16: Word2Vec algorithms and LSTM
• class 17: Applications of LSTMs
• class 18: Scraping and Genetic Algorithms
• class 19: Deep Dream and Neural Art
• class 20: RCNN
• class 21: RL
• class 22: Naive Bayes and SVM