Example Curriculum
Introduction
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Multilinear Regression
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- Game Plan for Multilinear Regression (1:22)
- CASE STUDY Briefing - Pricing Diamonds (1:53)
- Linear Regression (5:12)
- Python - Libraries and Data (2:27)
- Python - Exploratory Data Analysis (3:18)
- Python - Linear Regression (2:16)
- Regression Statistics (4:23)
- Python - Plotting Regression Curve (7:07)
- Dummy Variable (Trap) (4:00)
- Python - Linear Regression with Dummy Variables (7:15)
- EXERCISE: Create Function that Reads the Regression Coefficients (9:35)
- CASE STUDY - Linearity Bias - We Will All Be Obese! Wait What? (4:01)
- Multilinear Regression (1:47)
- Python - Categorical Variables (5:39)
- Under and Overfitting (3:27)
- Training and Test Set (2:34)
- Python - Multilinear Regression (3:44)
- Assessing Regression Models (6:07)
- Python - Assessing Regression Model (3:47)
- PRACTICE TEST - Multilinear Regression
- PRACTICE TEST - Multilinear Regression - Explanations
- CASE STUDY - Dangers of Regression Analysis (2:51)
- Multilinear Regression Wrap Up (2:02)
Capstone Project - Multilinear Regression
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Logistic Regression
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- Game Plan for Logistic Regression (1:39)
- CASE STUDY Briefing - Spam Emails (1:25)
- Logistic Regression (3:28)
- Python - Preparing Script and Loading Data (3:31)
- Python - Summary Statistics (3:44)
- Python - Histograms and Outlier Detection (5:36)
- Python - Correlation Matrix (3:26)
- Python - Logistic Regression Preparation (3:59)
- How to Read Logistic Regression Coefficients (2:11)
- Python - Logistic Regression (2:17)
- Python - Build a Coefficient Function with ChatGPT (9:06)
- Python - Predictions (3:19)
- Confusion Matrix and Model Assessment (6:24)
- Python - Confusion Matrix and Classification Report (5:34)
- Python - Assessing Classification Models with ChatGPT (5:30)
- PRACTICE TEST - Logistic Regression
- PRACTICE TEST - Logistic Regression - Explanations
- Section Wrap Up - Logistic Regression (3:15)
Capstone Project - Surviving Titanic - Logistic Regression with ChatGPT
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Cox Proportional Hazard Regression
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- Game Plan for Cox Proportional Hazard Regression (2:14)
- Introduction to Survival Analysis (7:47)
- CASE STUDY - Briefing (1:47)
- Python - Libraries and Data (5:09)
- Kaplan-Meier Estimator (4:35)
- Python - Kaplan Meier Estimator (4:22)
- Python - Calculating for a Specific Event (2:46)
- Python - Plotting Kaplan-Meier and Cumulated Curves (3:51)
- Censoring (3:45)
- Log Rank Test (2:56)
- Python - Kaplan-Meier Estimator per Gender and Visualization (5:50)
- Python - Log Rank Test (6:33)
- Cox Proportional Hazard Regression (4:51)
- Python - Prepare Data for CPH Model (3:11)
- Python - Cox Proportional Hazard Regression (9:36)
- Python - Visualize Results (2:12)
- Assessing Cox Proportional Hazard Models (5:18)
- Python - Assessing the CPH Model (8:37)
- Python - Predicting Specific Instances (3:38)
- PRACTICE TEST - Cox Regression
- PRACTICE TEST - Cox Regression - Explanations
- Cox Proportional Hazard Regression Wrap Up (3:14)
Capstone Project - Surviving the App-pocalypse - Cox Regression with ChatGPT
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Logarithmic Regression
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- Game Plan for Logarithmic Regression (4:19)
- Python - Logarithmic Regression Setup (4:05)
- Python - Data Prep and Visualization (6:11)
- Python - Normal Linear Regression (4:42)
- Python - Plotting Normal Linear Regression (3:59)
- Python - Linear - Log Regression (5:55)
- Python - Log - Linear Regression (5:42)
- Python - Log - Binary (6:36)
- Python - Log-Log Regression (3:23)
Where To Go From Here?
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