Table of contents Data Science Data Preparation Data Pre-Processing Validation Set Feature Engineering Continuous Numeric Variables Categorical Variables Embedding Layers Feature Scaling Regular Expression Artificial data synthesis Scraping Unsupervised Feature Selection Train-test split Modeling Overfitting Which Algorithm to Try Semi-Supervised Hyperparameter tuning Ensemble Model Selection Bayesian optimization Sample Codes AutoML Possible Ways to improve the performance Alogrithms Tree Traditional Algorithms Deep Learning in General Deep Learning for Tabular Data RNN LSTM CNN GAN Seq2seq VAE Graph Genetic Algorithms Autoencoders Applications Time Series NLP Text Classification Extracting Facts Language modeling Text summarisation Generate keyword topic tags Text matching Computer Vision Object Detection Sequence Modelling Recommender Systems Collaborative Filtering Speech Recognition Text-to-Speech Self-driving Car Forecasting Classification Ad-hoc Analytics Projects Rossmann New York City Taxi Trip Duration Resume Projects AWS My Projects Mindset Audit