Course Introduction
Why Python is the Gold Standard
The Artificial Intelligence Hierarchy
High Level Machine Learning Nomenclature
Types of Machine Learning
The Machine Learning Pipeline
Install Python on a MAC
Install Python on Windows
Jupyter Notebook Navigation
Assignment in Python
Core Workflow Statements
Core Data Structures in Python
What is an Array?
NumPy Crash Course
MATPLOTLIB and Pandas Crash Course
Loading Data Via Python and NumPy
Loading Data Via Pandas
Understanding Your Data
Descriptive Statistics
Univariate Plots
Multivariate Plots
Data Preprocessing
Standardization and Normalization
Binarization
Feature Selection
Demo: Feature Selection
Resampling Techniques
Train/Test Split
K-Fold Cross Validation Defined
Demo: K-Fold Cross Validation
Leave One Out
Repeated Random Test-Train Splits
Performance Metrics Defined
Model Performance Metrics
Log Loss and Area Under ROC Curve
Confusion Matrix and Classification Report
Regression Metrics
Spot Checking: Linear Machine Learning Algorithms for Classification
Spot Checking: Nonlinear Machine Learning Algorithms for Classification: Part 2
Spot Checking: Linear Machine Learning Algorithms for Regression
Spot Checking: Linear Machine Learning Algorithms for Regression: Part 2
Spot Checking: Linear Machine Learning Algorithms for Regression: Part 3
The Foundation
Demo: Iris Flower Dataset
Demo: Iris Flower Dataset: Part 2
Demo: Iris Flower Dataset: Part 3
Demo: Iris Flower Dataset: Part 4
Demo: Sonar Dataset
Demo: Sonar Dataset: Part 2
Demo: Sonar Dataset: Part 3
