Data Science
329 learners
Regression Analysis to Model Diamond Prices
Final stop to implement regression analysis to model diamond prices based on various features. Learn to train, predict, and evaluate model performance.
MatPlotLib
Pandas
Scikit-learn
Seaborn
See path
5 lessons
25 practices
2 hours
Badge for Exploratory Data Analysis and Visualization,
Exploratory Data Analysis and Visualization
Lessons and practices
Changing the Split Ratio
Fix the Dataset Split
Splitting Dataset Correctly
Split the Dataset
Split Diamonds Data Correctly
Change Train-Test Split Seed
Fix Common Data Processing Errors
Train Linear Regression Model
Train Your First Linear Model
Train a Linear Regression Model from Scratch
Change Training and Testing Size
Fix the Prediction Model
Predict and Evaluate Diamond Prices
Train and Evaluate the Model
Write a Linear Regression Model
Impact of Train-Test Split and Variable Choices
Fix the Visualization Code
Visualizing Model Predictions
Visualize Diamond Price Predictions
Visualize Model Predictions from Scratch
Enhance Random Forest Model Performance
Fix the Random Forest Model
Create and Train a Random Forest Regressor
Add Missing Random Forest Code
Random Forest Regressor from Scratch
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