• April 18, 2025

Machine Learning Projects

Here’s a categorized list of machine learning project ideas—from beginner to advanced level—across various domains. These will help you build real-world experience and enhance your resume or portfolio.


🔹 Beginner Projects

  1. Iris Flower Classification
    • Use the classic Iris dataset to predict flower species using classification algorithms like k-NN or Logistic Regression.
  2. Titanic Survival Prediction
    • Use passenger data to predict who survived the Titanic disaster (Kaggle dataset).
  3. House Price Prediction
    • Predict house prices using features like area, location, number of rooms, etc. (Linear Regression).
  4. MNIST Digit Classification
    • Use deep learning (CNNs) to classify handwritten digits.
  5. Movie Recommendation System
    • Build a collaborative filtering-based recommender using user ratings (e.g., MovieLens dataset).

🔹 Intermediate Projects

  1. Email Spam Detection
    • Build a spam classifier using Natural Language Processing (NLP) techniques like TF-IDF and Naive Bayes.
  2. Credit Card Fraud Detection
    • Use anomaly detection or classification to identify fraudulent transactions.
  3. Customer Churn Prediction
    • Predict whether a customer will leave a subscription service based on usage data.
  4. Fake News Detection
    • Classify whether a news article is fake or real using NLP and logistic regression/SVM.
  5. Loan Approval Prediction
    • Classify whether a loan should be approved based on applicant details.
  6. Facial Expression Recognition
    • Use CNNs to classify facial emotions (happy, sad, angry, etc.).
  7. Stock Price Prediction
    • Apply LSTM (Recurrent Neural Networks) to forecast stock prices using time-series data.

🔹 Advanced Projects

  1. Self-Driving Car Simulation
    • Use deep learning with a simulator (e.g., Carla) to create perception and control systems.
  2. Chatbot with NLP & Transformers
    • Create a chatbot using Transformer models like BERT or GPT.
  3. Object Detection with YOLO or SSD
    • Detect and label objects in images using real-time deep learning object detection models.
  4. Machine Translation
    • Build a neural machine translation system using seq2seq architecture.
  5. Music Genre Classification
    • Classify songs into genres using audio features and spectrograms (Librosa, CNNs).
  6. Medical Image Diagnosis
    • Diagnose conditions like pneumonia or COVID-19 using X-ray images and CNNs.
  7. GANs for Image Generation
    • Use Generative Adversarial Networks to create new images (e.g., faces, artwork).
  8. Autonomous Drone Navigation
    • Use RL (Reinforcement Learning) to train drones to navigate obstacles.

🔹 NLP-Focused Projects

  1. Sentiment Analysis on Twitter Data
    • Scrape tweets and classify sentiment (positive/negative/neutral).
  2. Text Summarization
    • Use extractive or abstractive methods (e.g., BART) to summarize long texts.
  3. Resume Parser
    • Build a tool to extract data from resumes and categorize candidate skills.
  4. Named Entity Recognition (NER)
    • Identify entities like names, places, and dates in text using SpaCy or HuggingFace models.
  5. Speech-to-Text Transcription
    • Use libraries like DeepSpeech or Whisper to convert spoken language to text.

🔹 Domain-Specific Ideas

  • Healthcare: Disease prediction, drug discovery using ML, patient risk scoring.
  • Finance: Loan default prediction, algorithmic trading strategies, portfolio optimization.
  • Retail: Inventory demand forecasting, customer segmentation, pricing optimization.
  • Cybersecurity: Intrusion detection systems, phishing email detection, malware classification.

One thought on “Machine Learning Projects

Leave a Reply

Your email address will not be published. Required fields are marked *