🚀 Machine Learning Exploratory Projects

Tools Used

• Python
• Pandas
• NumPy
• Scikit-learn
• PyTorch
• Matplotlib
• Seaborn
• Jupyter Notebook

Featured Projects

Building an E-Commerce Clothing Classifier Model

• Objective: Develop a machine learning model to classify clothing items based on their features.
• Tools Used: Scikit-learn, Pandas, Matplotlib.
• Output/Findings: Achieved high accuracy in classifying clothing items, providing insights into feature importance for classification.

Predicting Movie Rental Durations

• Objective: Predict the rental duration of movies based on customer and movie attributes.
• Tools Used: Scikit-learn, Pandas, Seaborn.
• Output/Findings: Built a regression model with good predictive performance, identifying key factors influencing rental durations.

Predicting Temperature in London

• Objective: Forecast daily temperatures in London using historical weather data.
• Tools Used: Scikit-learn, Pandas, Matplotlib.
• Output/Findings: Developed a time-series model that accurately predicts temperature trends, aiding in weather forecasting.

Predicting Traffic Volume with PyTorch

• Objective: Predict traffic volume on roads using deep learning techniques.
• Tools Used: PyTorch, Pandas, NumPy.
• Output/Findings: Implemented a neural network model that effectively predicts traffic volume, highlighting the impact of time and weather on traffic.

Predictive Modeling for Agriculture

• Objective: Build a predictive model to assist in agricultural decision-making.
• Tools Used: Scikit-learn, Pandas, Seaborn.
• Output/Findings: Created a model that predicts crop yields based on environmental and soil factors, providing valuable insights for farmers.

Conclusion

This repository showcases diverse applications of data analysis and machine learning, demonstrating the power of these techniques in solving real-world problems across various domains.