Reference material on various Data Science topics. Started during the Galvanize Data Science Intensive and improved upon over the years.
- Anaconda
- AWS
- High Performance Python
- Linear Algebra
- Mongo DB
- NLP
- Pandas
- Postgres
- Probability
- Python
- Recommender Systems
- Sampling and Estimateion
- SciPy Stats
- Spark
- SSH
- Tensorflow
- Time Series
The following is a curated list of Galvanize study material. You must
- Assessment 1 - Day 1
- Assessment 2
- Assessment 3
- Assessment 4
- Assessment 5
- Final Assessment - Part 1
- Final Assessment - Part 2
- Python Fundamentals
- Python Introduction
- Python Workshop
- High Performance Python
- Pandas
- Pandas and Matplotlib
- Object-Oriented Programming
- Fundamentals
- AB Testing
- Boosting
- Clustering
- Data Products
- Dimensionality Reduction
- Estimation Sampling
- Gradient Descent
- Graphs
- Linear Algebra EDA
- Linear Regression Alt
- Logistic Regression
- Multi-Armed Bandit
- NLP
- Non-Parametric Learners
- Power Bayesian
- Probability
- Random Forest
- Recommendation Systems
- Regularized Regression
- SVM
- Time Series
- Topic Modeling
- Web Scraping