keshavvinayak01/Perceptron_Summer_Noida_2018

Noida Batch for Perceptron (Machine Learning) Summer 2018

Jupyter Notebook

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