Yield Forecaster pro
Oct 2023 - Mar 2025 (1 year 6 months)
it involves supervised learning, where models are trained on historical data to predict future yields. Techniques like regression is used, various ML algo's are applied Tools used: Jupyter Notebook, NumPy, Panda's, Matplotlib, , Seaborn, Scikit-learn