DataScience

Resource for interview preparation of data science position

##Machine learning## ###Theory

1. Machine learning Theories (Stanford CS229). We should mainly focus on Supervised Learning, Unsupervised Learning and Learning Theory. Probably 16 lectures. 1. Syllabus 2. Notes 3. Videos

2. Boosting Trees 1. Slides 2. Understanding XGBoost Model on Otto Dataset 3. Papers

   • Stochastic Gradient Boosting. J.H. Friedman

###Feature Selection##

1. An introduction to Variable and Feature Selection

###Missing Value##

1. Multiple imputation course materials

##NLP##

1. NLP Structure
2. CS224d: Deep Learning for Natural Language Processing