Notes on Machine Learning

1. Exploratory Data Analysis for Machine Learning
2. Supervised Learning: Using regression models to predict market and sector trends
3. Supervised Learning: Classifying weather conditions of Cologne Bonn airport
4. Unsupervised Learning: Clustering road sections with respective to the correlations of traffic flows
5. Ranking and Clustering Cities in North Rhine-Westphalia, Germany

Notes on Statistical Methods

1. Python code for drawing copula density
2. Python code for using optimized k-means clustering

Data Visualization with Tableau

1. Site Selection for Railway Travel Company
2. Superstore Sales & Profit
3. Superstore Performance Overview