Energy Prediction & Fraud Detection Using Machine Learning

In this video, I demonstrate two real-world machine learning projects using popular Kaggle datasets. The first project focuses on regression analysis to predict wind and solar energy production, highlighting how renewable energy output can be modeled using data-driven techniques. The second project applies classification algorithms to detect credit card fraud, addressing challenges such as class imbalance and model evaluation. Together, these projects showcase practical applications of machine learning, including data preprocessing, model building, and performance analysis, making this video ideal for students, beginners, and anyone building a machine learning portfolio.
Kaggle Codes :
https://www.kaggle.com/code/amineipad/reg-solar
https://www.kaggle.com/code/amineipad/timeseriesreg-wind
https://www.kaggle.com/code/amineipad/creditcardsmote

Видео Energy Prediction & Fraud Detection Using Machine Learning канала Amn Amine