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Projects Include: (1) Handwritten Digit Recognition (2) Spam Email Classifier (3) Movie Recommendation System (4) Image Classifier (5) Rock-Paper-Scissors Game Predictor

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Beginner-ML-Projects

1. Handwritten Digit Recognition 📝

  • Description: A model trained to recognize handwritten digits (0-9) with high accuracy.
  • Technologies Used: Python, Pytorch, Torchvision, Matplotlib
  • Code Link: Handwritten Digit Recognition Code

2. Spam Email Classifier 📩

  • Description: A text classification model that identifies spam emails.
  • Technologies Used: Python, Pandas, Scikit-learn, NumPy, NLTK
  • Code Link: Spam Email Classifier Code

3. Movie Recommendation System 🎬

  • Description: A recommendation system that suggests movies based on user preferences.
  • Technologies Used: Python, Pandas, NumPy, Faiss, Requests
  • Code Link: Movie Recommendation System Code

4. Image Classifier 📸

  • Description: A image classification model that classifies different images of puppies and frogs.
  • Technologies Used: Python, TensorFlow, Keras, OpenCV, NumPy, Matplotlib
  • Code Link: Image Classifier Code

5. Rock-Paper-Scissors Game Predictor ✂️

  • Description: A model that recognizes a random pattern of Rock-Paper-Scissors and predicts the next move.
  • Technologies Used: Python, Tensorflow, Keras, Scikit-learn
  • Code Link: Rock-Paper-Scissors Game Predictor Code

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Projects Include: (1) Handwritten Digit Recognition (2) Spam Email Classifier (3) Movie Recommendation System (4) Image Classifier (5) Rock-Paper-Scissors Game Predictor

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