?? Day 167 of 365: Final Project - End-to-End Model Evaluation and Tuning ??
Ajinkya Deokate
Data Scientist | Researcher | Author | Public Speaking Expert @PlanetSpark | Freelancer
Hey, Data Scientist!
Welcome to Day 167 of our #365DaysOfDataScience journey! ??
The final project is an opportunity for all of us to apply our cumulative skills. It's a bit like our grand finale, where we showcase our ability to work through a full data science workflow. Let's approach it with excitement and see just how much we've learned together!
?? Today’s Task:
??- Choose a real-world dataset (e.g., Loan Approval, Customer Churn, or House Prices).
??- Apply everything you've learned to perform an end-to-end model evaluation and tuning process. This includes:
????- Data wrangling and preprocessing.
????- Exploratory Data Analysis (EDA).
????- Model selection and training.
????- Hyperparameter tuning and cross-validation.
????- Evaluation using appropriate metrics (e.g., accuracy, F1-score, RMSE).
??- Deliverable: Write a comprehensive report detailing your process, evaluation methods, tuning strategies, and model performance.
Happy Learning & See You Soon!
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