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        • SpaCy
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        • Scikit-learn
    • Git & GitHub
      • Linux | Shell Basics
      • Git Commands & GitHub
    • Deep Learning
    • Machine Learning
  • Book Notes
    • Python DS Handbook
      • 1. Jupyter Notebook (IPython)
      • 2. Introduction to NumPy
      • 3. Data Manipulation - Pandas
      • 4. Visualization - Matplotlib
      • 5. Machine Learning
    • Hands-on Machine Learning
      • I. The Fundamentals - ML
        • 1. The ML Landscape
        • 2. End-to-End ML Project
        • 3. Classification
        • 4. Training Models
        • 5. SVM
        • 6. Decision Trees
        • 7. Ensemble Learning & Random Forests
        • 8. Dimension Reduction
        • 9. Unsupervised Learning
      • II. Neural Networks - DL
    • Deep Learning with Python
      • 1. Fundamentals of DL
      • 2. Deep Learning in Practice
    • Elements of Statistical Learning
    • Math for Machine Learning
      • I. Mathematical Foundations
      • II. Central ML Problems
    • Deep Reinforcement Learning
      • I. Tabular Solution Methods
      • II. Approx. Solution Methods
      • III. Looking Deeper
      • IV. Deep RL
  • Advanced Topics
    • TensorFlow & Keras
    • Unit Tests & Refactoring
    • Data Structures & Algorithms
  • Miscellaneous
    • Coding Practice
      • LeetCode
      • HackerRank
      • ProjectEuler
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Introduction

I will be sharing my personal notes about Programming and Data Science on various topics on this page. I am currently in the process of migrating my local notes to GitBook.

NextSQL

Last updated 4 years ago

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Currently, I am working on:

  • The notes consist of 4 main groups:

  • There are 4 types of hints used within the notes :

Info: It is used to provide tips and/or extra information such as a definition.

Warning: It is used to present important details to keep in mind.

Danger: It is used to raise attention to common mistakes and misconceptions.

Success: It is used to show the successful implementation of a technique.

Basics
Git Commands & GitHub
Hands-on ML2
Deep Reinforcement Learning
Linux | Shell Basics
NLP using Spacy
Tutorials
Book Notes
Advanced Topics
Miscellaneous