Project Repository: Machine Learning Showcase 🚀

1) Customer Churn Prediction 💼

Predictive model using deep learning algorithms to forecast customer churn. Analyzed historical data to identify patterns and factors influencing customer retention. Implemented with Python, scikit-learn, and Keras.

📊 Data preprocessing and visualization

🤖 Model training and evaluation

🔍 Churn prediction insights

2) Handwritten Number Prediction ✍️

A deep learning model for recognizing handwritten digits using neural networks. Developed with TensorFlow and trained on the MNIST dataset. Achieved high accuracy through convolutional neural networks (CNNs) and implemented user-friendly prediction interfaces.

🧠 Convolutional Neural Network architecture

📈 MNIST dataset training

🎨 Easy to understand code

3) Image Classification 🖼️

An image classification project using transfer learning to identify objects within images. Achieved high accuracy through convolutional neural networks (CNNs). Used "datasets.cifar10.load_data()" pre-defined dataset.

🔄 Transfer learning with pre-trained models

🛠️ Fine-tuning for custom datasets

🌐 Object recognition in images

Feel free to explore each project for detailed documentation and code implementation. Contributions and feedback are welcome! 🙌