1. Classical Machine Learning
   1. Classification
      1. Logistic Regression
      2. Naive Bayes
      3. Decision Trees
      4. Random Forest
      5. AdaBoost
      6. XGBoost
   2. Regression
      1. Linear Regression
      2. Naive Bayes
      3. Decision Trees
      4. Random Forest
      5. AdaBoost
      6. XGBoost
   3. Clustering
      1. K-Means
2. Neural Networks
   1. Convolution Neural Network
      1. VGG
      2. ResNet
   2. Artificial Neural Network
   3. Recurrent Neural Network
      1. RNN
      2. LSTM
      3. GRU
3. Techniques
   1. Transformers
      1. Encoder Only Models
      2. Decoder Only Models
      3. Encoder-Decoder Models
   2. Natural Language Processing
   3. Computer Vision
   4. Transfer Learning
   5. Prompt Engineering
   6. Googling
4. Languages
   1. Python
   2. C/C++
   3. SQL
5. Frameworks
   1. PyTorch
   2. TensorFlow
   3. Keras
   4. Flask
   5. FastAPI
   6. Streamlit
   7. Langchain
   8. Django
   9. TailwindCSS
6. Tools
   1. Git
   2. Google Cloud Platform
   3. ChatGPT
   4. Docker
   5. MLFlow
   6. KubeFlow
   7. Kubernetes
7. Services
   1. VertexAI
   2. GenerativeAI Playground
   3. DocumentAI
   4. GitHub
   5. GitLab
8. Database
   1. Firestore/Firebase
   2. MySQL
   3. Postgres
   4. MongoDB
9. Integrated Development Environment
   1. VS Code
   2. Jupyter Lab
   3. PyCharm
10. Libraries
    1. Pandas
    2. HuggingFace
    3. NumPy
    4. Matplotlib
    5. Seaborn
    6. NLTK
    7. Spacy
    8. OpenCV
11. Operating System
    1. Windows
    2. Ubuntu(Linux)
12. Hardware
    1. Arduino
    2. NodeMCU
    3. RaspberryPi