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One Final Commit for the Last Sprint

Understanding Scikit-Learn Transformers and Estimators for Machine Learning Workflows

Transformers in Scikit-Learn Transformers serve as the foundational components for feature engineering pipelines. They standardize, normalize, or encode raw data into formats suitable for model training. The core interface revolves around three primary methods: fit(): Computes internal parameters (e...

Time Series Forecasting for Electricity Demand Using Pandas and LightGBM

Problem Overview This challenge focuses on forecasting electricity consumption for multiple households using historical time-series data. Given sequences of past power usage labeled by household ID and day index (dt), the objective is to predict future target values — representing actual electricity...