From NumPy arrays to deployed ML models. Master pandas, matplotlib/seaborn, data cleaning, feature engineering, and scikit-learn through a complete end-to-end house price prediction project.
1-month free Pro trial included
Vectorized computation with NumPy, DataFrame manipulation with pandas, and the mental models that make both click
matplotlib, seaborn, and the systematic approach to EDA that uncovers patterns, outliers, and data quality issues before modeling
Handle messy real-world data: missing values, outliers, encoding, scaling, and creating features that improve model performance
Train, evaluate, and tune ML models with scikit-learn — the consistent API that covers 90% of practical ML tasks
Build a complete data science pipeline from raw data to deployed predictions — integrating all skills into a real project
