Books & Videos

Table of Contents

Chapter: Brushing up on the Basics

The Course Overview

02m 37s

CSV Files to SQLite3

05m 58s

Regular Expressions

10m 7s

Visualizations

06m 0s

Kernel Density Estimation

07m 38s

Chapter: Regression Analysis

Linear Regression

10m 31s

Correlation Coefficients

06m 4s

Drawbacks of Linear Regression

09m 12s

Logarithmic Regression

07m 3s

Polynomial Regression

17m 34s

Chapter: Multiple Regression

Creating Matrices in HMatrix

11m 35s

Performing Multivariate Regression

08m 57s

Calculating the Adjusted R^2

09m 47s

Improving the Adjusted R^2 Score

09m 58s

Chapter: Text Analysis

Preparing Our Text

07m 26s

Finding the Set of N-Grams

05m 51s

Cosine Similarity

07m 6s

Overview of TF-IDF

04m 22s

Applying TF-IDF

05m 56s

Chapter: Clustering

Clustering: An Overview

05m 49s

Random Cluster Generation

07m 33s

Distances between Clusters

07m 28s

Performing K-Means Clustering

05m 56s

Performing Hierarchical Clustering

07m 39s

Chapter: Naïve Bayes Classification

Bayes: A Discussion

08m 50s

Bayes: The Code

07m 16s

Bayes on Full Documents

07m 59s

Chapter: Principal Component Analysis

PCA: A Discussion

07m 6s

Preparing Our Dataset

08m 37s

Eigendecomposition

04m 27s

Dimensionality Reduction

03m 40s

Recommendation Engine

08m 22s