Machine Learning Projects
Explore hands-on practical projects designed to give you real-world experience in Machine Learning.
Customer Churn Prediction Model
Hands-on ProjectBuild an end-to-end ML model to predict customer churn for a telecom company. Include EDA, feature engineering, multiple algorithm comparison (logistic regression, random forest, XGBoost), hyperparameter tuning, and business recommendations.
Image Classification with Deep Learning
Hands-on ProjectTrain a CNN for image classification using TensorFlow/Keras. Apply data augmentation, transfer learning with MobileNet or ResNet, fine-tuning, and achieve high accuracy on a real-world image dataset.
House Price Prediction System
Hands-on ProjectDevelop a regression ML model for house price prediction. Feature engineering, outlier handling, model selection (linear regression, gradient boosting), and deployment as a Flask web app with a prediction form.
Recommendation System
Capstone ProjectBuild a collaborative filtering recommendation system using matrix factorization. Train on movie or product ratings data and deploy as an API endpoint for real-time recommendations.