Name: Introduction to Regression Analysis
Price: -1 USD

Overview

Learn regression analysis with Python - linear, logistic, Cox, and more, all through hands-on projects and real-world data to build your job-ready from the ground up.

Build and evaluate linear and multilinear regression models
Use Python for data exploration and visualization
Avoid common regression traps like overfitting and dummy variable bias
Analyze classification problems using logistic regression
Apply Cox regression to survival analysis problems
Use ChatGPT to assist with Python modeling tasks
Interpret regression outputs to drive business decisions
Complete real-world capstone projects for your portfolio

Syllabus

Introduction

Introduction to Regression Analysis
Exercise: Meet Your Classmates and Instructor
Course Resources

Multilinear Regression

Game Plan for Multilinear Regression
CASE STUDY Briefing - Pricing Diamonds
Linear Regression
Python - Libraries and Data
Python - Exploratory Data Analysis
Python - Linear Regression
Regression Statistics
Python - Plotting Regression Curve
Dummy Variable (Trap)
Python - Linear Regression with Dummy Variables
EXERCISE: Create Function that Reads the Regression Coefficients
CASE STUDY - Linearity Bias - We Will All Be Obese! Wait What?
Multilinear Regression
Python - Categorical Variables
Under and Overfitting
Training and Test Set
Python - Multilinear Regression
Assessing Regression Models
Python - Assessing Regression Model
PRACTICE TEST - Multilinear Regression
PRACTICE TEST - Multilinear Regression - Explanations
CASE STUDY - Dangers of Regression Analysis
Multilinear Regression Wrap Up

Capstone Project - Multilinear Regression

Captone Project - Understanding Sales Drivers
Python - Solutions - Step 1
Python - Solutions - Step 2-4
Python - Solutions - Step 5-6

Logistic Regression

Game Plan for Logistic Regression
CASE STUDY Briefing - Spam Emails
Logistic Regression
Python - Preparing Script and Loading Data
Python - Summary Statistics
Python - Histograms and Outlier Detection
Python - Correlation Matrix
Python - Logistic Regression Preparation
How to Read Logistic Regression Coefficients
Python - Logistic Regression
Python - Build a Coefficient Function with ChatGPT
Python - Predictions
Confusion Matrix and Model Assessment
Python - Confusion Matrix and Classification Report
Python - Assessing Classification Models with ChatGPT
PRACTICE TEST - Logistic Regression
PRACTICE TEST - Logistic Regression - Explanations
Section Wrap Up - Logistic Regression

Capstone Project - Surviving Titanic - Logistic Regression with ChatGPT

Capstone Project - Surviving Titanic
Python - Libraries and Data
Python - Removing Outliers and EDA
Python - Logistic Regression Model and Assessment

Cox Proportional Hazard Regression

Game Plan for Cox Proportional Hazard Regression
Introduction to Survival Analysis
CASE STUDY - Briefing
Python - Libraries and Data
Kaplan-Meier Estimator
Python - Kaplan Meier Estimator
Python - Calculating for a Specific Event
Python - Plotting Kaplan-Meier and Cumulated Curves
Censoring
Log Rank Test
Python - Kaplan-Meier Estimator per Gender and Visualization
Python - Log Rank Test
Cox Proportional Hazard Regression
Python - Prepare Data for CPH Model
Python - Cox Proportional Hazard Regression
Python - Visualize Results
Assessing Cox Proportional Hazard Models
Python - Assessing the CPH Model
Python - Predicting Specific Instances
PRACTICE TEST - Cox Regression
PRACTICE TEST - Cox Regression - Explanations
Cox Proportional Hazard Regression Wrap Up

Capstone Project - Surviving the App-pocalypse - Cox Regression with ChatGPT

Capstone Project - Will Your App Make it?
Python - Libraries and Data
Python - Data Cleaning
Python - Dependent Variable
Python - Kaplan-Meier Estimator
Python - Cox Model

Logarithmic Regression

Game Plan for Logarithmic Regression
Python - Logarithmic Regression Setup
Python - Data Prep and Visualization
Python - Normal Linear Regression
Python - Plotting Normal Linear Regression
Python - Linear - Log Regression
Python - Log - Linear Regression
Python - Log - Binary
Python - Log-Log Regression

Where To Go From Here?

Let's Keep Learning Together!
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Taught by

Diogo Resende

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