What You will Learn

Environment Set-Up1 lecture

• Python Environment Setup

Jupyter Overview

• Updates to Notebook Zip
• Jupyter Notebooks
• Optional: Virtual Environments

Python Crash Course

• Welcome to the Python Crash Course Section!
• Introduction to Python Crash Course
• Python Crash Course
• Python Crash Course Exercises - Overview
• Python Crash Course Exercises - Solutions

Python for Data Analysis - NumPy

• Welcome to the NumPy Section!

Just a quick introduction of the section from me personally!

• Introduction to Numpy

Part of the NumPy Section of the Course!

• Numpy Arrays

Part of the NumPy Section of the Course!

• Quick Note on Array Indexing
• Numpy Array Indexing
• Numpy Operations
• Numpy Exercises Overview
• Numpy Exercises Solutions

Python for Data Analysis - Pandas

• Welcome to the Pandas Section!
• Introduction to Pandas
• Series
• DataFrames - Part 1
• DataFrames - Part 2
• DataFrames - Part 3
• Missing Data
• Groupby
• Merging Joining and Concatenating
• Operations
• Data Input and Output

Python for Data Analysis - Pandas Exercises

• Note on SF Salary Exercise
• SF Salaries Exercise Overview
• SF Salaries Solutions
• Ecommerce Purchases Exercise Overview
• Ecommerce Purchases Exercise Solutions

Python for Data Visualization - Matplotlib

• Welcome to the Data Visualization Section!

Preview

• Introduction to Matplotlib

Preview

• Matplotlib Part 1
• Matplotlib Part 2
• Matplotlib Part 3
• Matplotlib Exercises Overview
• Matplotlib Exercises - Solutions

Python for Data Visualization - Seaborn

• Introduction to Seaborn
• Distribution Plots

Preview

• Categorical Plots
• Matrix Plots
• Grids
• Regression Plots
• Style and Color
• Seaborn Exercise Overview
• Seaborn Exercise Solutions

Python for Data Visualization - Pandas Built-in Data Visualization

• Pandas Built-in Data Visualization
• Pandas Data Visualization Exercise
• Pandas Data Visualization Exercise- Solutions

Python for Data Visualization - Plotly and Cufflinks

• Introduction to Plotly and Cufflinks

Preview

• READ ME FIRST BEFORE PLOTLY PLEASE!
• Plotly and Cufflinks

Python for Data Visualization - Geographical Plotting

• Introduction to Geographical Plotting

Preview

• Choropleth Maps - Part 1 - USA
• Choropleth Maps - Part 2 - World
• Choropleth Exercises
• Choropleth Exercises - Solutions

Data Capstone Project

• Welcome to the Data Capstone Projects!

Preview

• 911 Calls Project Overview

Preview

• 911 Calls Solutions
• Bank Data
• Finance Data Project Overview
• Finance Project - Solutions

Introduction to Machine Learning

• Welcome to Machine Learning. Here are a few resources to get you started!
• Welcome to the Machine Learning Section!
• Supervised Learning Overview
• Evaluating Performance - Classification Error Metrics
• Evaluating Performance - Regression Error Metrics
• Machine Learning with Python

Linear Regression

• Linear Regression Theory
• model_selection Updates for SciKit Learn 0.18
• Linear Regression with Python
• Linear Regression Project Overview
• Linear Regression Project Solution

Cross Validation and Bias-Variance Trade-Off

• Bias Variance Trade-Off

Logistic Regression

• Logistic Regression Theory
• Logistic Regression with Python
• Logistic Regression Project Overview
• Logistic Regression Project Solutions

K Nearest Neighbors

• KNN Theory
• KNN with Python
• KNN Project Overview
• KNN Project Solutions

Decision Trees and Random Forests

• Introduction to Tree Methods
• Decision Trees and Random Forest with Python
• Decision Trees and Random Forest Project Overview
• Decision Trees and Random Forest Solutions

Support Vector Machines

• SVM Theory
• Support Vector Machines with Python
• SVM Project Overview
• SVM Project Solutions

K Means Clustering

• K Means Algorithm Theory
• K Means with Python
• K Means Project Overview
• K Means Project Solutions

Principal Component Analysis

• Principal Component Analysis
• PCA with Python

Recommender Systems

• Recommender Systems
• Recommender Systems with Python

Natural Language Processing

• Natural Language Processing Theory
• NLP with Python
• NLP Project Overview
• NLP Project Solutions

Neural Nets and Deep Learning

• Deep Learning Section!
• Introduction to Artificial Neural Networks (ANN)
• Installing TensorFlow
• Perceptron Model
• Neural Networks
• Activation Functions
• Multi-Class Classification Considerations
• Cost Functions and Gradient Descent
• Backpropagation
• TensorFlow vs Keras
• TF Syntax Basics - Part One - Preparing the Data
• TF Syntax Basics - Part Two - Creating and Training the Model
• TF Syntax Basics - Part Three - Model Evaluation
• TF Regression Code Along - Exploratory Data Analysis
• TF Regression Code Along - Data Preprocessing and Creating a Model
• TF Regression Code Along - Model Evaluation and Predictions
• TF Classification Code Along - EDA and Preprocessing
• TF Classification - Dealing with Overfitting and Evaluation
• TensorFlow 2.0 Project Options Overview
• TensorFlow 2.0 Project Notebook Overview
• Keras Project Solutions - Dealing with Missing Data
• Keras Project Solutions - Categorical Data
• Keras Project Solutions - Data PreProcessing
• Keras Project Solutions - Creating and Training a Model
• Keras Project Solutions - Model Evaluation
• Tensorboard

Big Data and Spark with Python

• Welcome to the Big Data Section!
• Big Data Overview
• Spark Overview
• Local Spark Set-Up
• AWS Account Set-Up
• Quick Note on AWS Security
• EC2 Instance Set-Up
• SSH with Mac or Linux
• PySpark Setup
• Lambda Expressions Review
• Introduction to Spark and Python
• RDD Transformations and Actions