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Making Predictions with Data and Python
The Tools for Doing Predictive Analytics with Python
The Course Overview
The Anaconda Distribution
The Jupyter Notebook
NumPy - The Foundation for Scientific Computing
Using Pandas for Analyzing Data
Visualization Refresher
Plotting with Matplotlib
Visualizing data with Pandas
Statistical Visualization with Seaborn
Concepts in Predictive Analytics
What Is Predictive Analytics?
How to Do Predictive Analytics?
Machine Learning - Supervised Versus Unsupervised Learning
Supervised Learning - Regression and Classification
Models and Algorithms
Regression: Concepts and Models
scikit-learn
The Multiple Regression Model
K-Nearest Neighbors for Regression
Lasso Regression
Model Evaluation for Regression
Regression: Predicting Crime, Stock Prices, and Post Popularity
Predicting Diamond Prices
Predicting Crime in US Communities
Predicting Post Popularity
Classification: Concepts and Models
Logistic Regression
Classification Trees
Naive Bayes Classifiers
Model Evaluation for Classification
Classification: Predicting Bankruptcy, Credit Default, and Spam Text Messages
Predicting Credit Card Default
Predicting Bankruptcy
Building a Spam Classifier
Further Topics in Predictive Analytics
scikit-learn
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