C1.1 Preparing Numeric Data for Machine Learning

C1. Preparing Data for Modeling with scikit-learn Preparing Numeric Data for Machine Learning: 01. Version Check 02. Module Overview 03. Prerequisites and Course Outline 04. Scaling and Standardization 05. Normalization 06. Transforming Data to Gaussian Distributions 07. Calculating and Visualizing Summary Statistics 08. Using the Standard Scaler for Standardizing Numeric Features 09. Using the Robust Scaler to Scale Numeric Features 10. Normalization and Cosine Similarity 11. Transforming Bimodally Distributed Data to a Normal Distribution Using a Quantile Tra 12. Reducing Dimensionality Using Factor Analysis 13. Module Summary