Data Discovery and Visualization

• > Numpy and array computation
• > Processing Images with Numpy
• > Data Acquisition - Web Scrapping, Web APIs
• > Data Analysis using Pandas
• > Importing and Exporting Data

Classical Machine Learning Algorithms

• > K-Nearest Neighbour search
• > K-means clustering
• > Linear Regression
• > Logistic Regression
• > Decision trees and Ensembling Learning
• > Random Forest Classifiers
• > Support Vector Machines

Natural Language Processing

• > Text generation using Markov Chain
• > Text classification using Naive Bayes
• > Deploy ML model with flask on heroku
• > Create a facebook chatbot with flask

Deep Neural Networks

• > Neural Architectures and Training
• > Deep Learning with Keras
• > Convolutions and the GoogLeNet
• > Transfer Learning with ResNet and AlexNet
• > Dimensionality Reduction using Auto-encoders

Advanced Deep Learning

• > Recurrent Neural Network
• > Long Short Term Memory
• > Music Generation using LSTM
• > Predict Gender from name with LSTM
• > Generative Adversarial Nets

Reinforcement Learning

• > Foundational Reinforcement Learning
• > Evolutionary Algorithms and Genetic Algorithms
• > Deep Q-learning and training
• > Training on OpenAI Gym Simulators