Phases of a Machine Learning Project

Phase	Useful Tools/Libraries
Data Acquisition	SQL, pandas
Exploratory Data Analysis	numpy, pandas, duckdb
Data Annotation	doccano
Data Visualization	matplotlib, seaborn, plotly
Data Cleaning / Featurization	numpy, pandas
Model Development	scikit-learn, xgboost, lightgbm, pytorch, tensorflow, wandb (experiment tracking)
Error Analysis	scikit-learn, matplotlib
Hyperparameter Tuning	optuna, ray
Model Evaluation	scikit-learn, matplotlib
Model Explainability	shap, lime
Model Demo	streamtlit, gradio