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AI/ML Roadmap 🚀

Programming Fundamentals (Python)

  • Python basics: variables, loops, functions, OOP
  • Libraries: NumPy, Pandas, Matplotlib, Seaborn
  • Git/GitHub version control

Projects:

  • Calculator / To-do app
  • Data analysis of CSV (IPL, Movies, etc.)
  • Visualize COVID-19 trends

Math for ML

  • Linear Algebra → vectors, matrices, eigenvalues
  • Probability & Statistics → distributions, Bayes theorem
  • Calculus → differentiation, gradient
  • Optimization → gradient descent

Projects:

  • Implement Linear Regression from scratch
  • Probability-based Dice simulator
  • Statistics dashboard of a dataset

Data Handling & Preprocessing

  • Data cleaning (missing values, duplicates)
  • Feature engineering
  • Normalization & standardization
  • Train-test split, cross-validation

Projects:

  • House price dataset cleaning & EDA
  • Titanic survival prediction

Core Machine Learning

  • Supervised: Regression, Logistic, SVM, Trees, RF, k-NN
  • Unsupervised: k-Means, PCA
  • Evaluation Metrics → accuracy, precision, recall, F1

Projects:

  • Spam mail classifier
  • Customer segmentation
  • Stock price prediction

Deep Learning (Neural Networks)

  • Basics, Activation functions
  • Frameworks: TensorFlow / PyTorch
  • CNNs (Image processing)
  • RNN/LSTM (Time-series, NLP)
  • Transfer learning

Projects:

  • MNIST digit recognition
  • Image classifier (Cats vs Dogs)
  • Text sentiment analysis

Advanced AI/ML Topics

  • NLP (Transformers, BERT, GPT models)
  • Reinforcement Learning
  • Recommendation Systems
  • Generative AI (GANs, Diffusion)

Projects:

  • Chatbot using Transformers
  • Recommendation System
  • AI Image generator (GAN)

Deployment & MLOps

  • Flask, FastAPI, Streamlit
  • Docker, Kubernetes
  • CI/CD for ML
  • Cloud ML (AWS, GCP, Azure)

Projects:

  • Deploy ML model on web app
  • Dockerize project
  • End-to-end ML pipeline

System Design for ML

  • Large-scale ML system design
  • Data pipelines (Airflow, Kafka, Spark)
  • Vector DB (Pinecone, Weaviate, FAISS)
  • Model monitoring & retraining

Projects:

  • Real-time recommendation engine
  • Large-scale chatbot with memory
  • AI search engine