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Resources

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Gradient Boosting Explained: Turning Mistakes Into Precision
Regularization in Machine Learning: Mastering Ridge, Lasso, and Elastic Net
Outlier Detection for Data Science: Practical Techniques and Tools Explained
The Balancing Act of Machine Learning: Bias-Variance Tradeoff
Building & Deploying a FastAPI Video Description App: From Code to Cloud with GPT, Docker and Azure
Building a Conversational Medical Form with GPT-4, Langchain, and SQLite
Handling Mixed Variables in Feature Engineering: A Practical Guide with Code
A Beginner’s Guide to Converting Numerical Data to Categorical: Binning and Binarization
Mathematical Transformations in Feature Engineering: Log, Reciprocal, and Power Transforms Explained with Visualization
Simplifying Data Preprocessing with ColumnTransformer in Python: A Step-by-Step Guide
Encoding Categorical Data: A Step-by-Step Guide
The Curse of Dimensionality: Why More Isn’t Always Better in Machine Learning
Building Your First Machine Learning Model with Linear Regression Using Ordinary Least Square
Why scikit-learn isn’t the Best for Visualizing Decision Trees: Meet dtreeviz