Yonas650's repositories
Image-classification-VGG16
This project modifies the classic VGG16 architecture to classify images into four distinct categories with high accuracy. It incorporates data augmentation, dynamic learning rate adjustments, and comprehensive performance evaluation using accuracy metrics and confusion matrices. Built with PyTorch and supported by a suite of powerful libraries
ML-Driven-CLV-Prediction
This project predicts Customer Lifetime Value (CLV) for e-commerce. It aims at forecasting the revenue a business can expect from a customer over time. I did an explatory analysis. From Linear Regression to Neural Networks, explore how different models perform in predicting CLV.
Real-Time-Object-Detection
Real-time object detection system utilizing the SSD MobileNet V2 FPNLite 320x320 model for high-speed, efficient recognition.
Spotify_Stock_Analysis
This is an in-depth exploratory data analysis of Spotify's stock performance from January 1, 2018, to the present. Utilizing Python and a robust set of libraries, this project examines trends, volatility, and external influences on Spotify's stocks using data from Yahoo Finance. From trend analysis and volatility exploration to predictive modeling.
Iris_Flower_Species_Predictor_Streamlit_Deployment
Predicts Iris species with 100% aacuracy. It's deployed on streamlit.