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Day to Day discussed external links for future reference

Day0 Pre-Training Resources

  1. Educational Resourses Specially for Students from GITHUB
  2. Anaconda Software Download
  3. Markdown Syntax user Guide
  4. Python Software Official Website
  5. PEP 8 -- Style Guide for Python Code
  6. Official Python Website

Data Sources

  1. Kaggle
  2. Google Datset Search Engine
  3. Data.World
  4. UC Irvine Machine Learning Repository

References

  1. NumPy
  2. Pandas
  3. Matplotlib
  4. Seaborn
  5. 100 numpy exercises.
  6. Pandas Exercises
  7. matplotlib Cheat Sheets
  8. matplotlib-tutorial

Reference Courses

  1. Free Courses During Pandemic
  2. Git Version Control
  3. Python Tutorial
  4. Math Courses
    1. Intro to statistics
    2. Linear Algebra Refresher Course
    3. Intro to Descriptive Statistics
    4. Intro to Inferential Statistics
    5. Statistics & Probability
    6. Linear Algebra
    7. Calculus

Few more imp. suggestions

  1. Everyone should have professional LinkedIn profile for future job purpose build nice LinkedIn profile.
  2. If you are a programmer you should have GitHub profile with your learnings and projects.
  3. At the end of the day it is not only about learning but we have to apply the things which we have learned. so try to explore more on the concept and also share your knowledge to the community by writing a blog of what you have learned on day to day basis or on entire training program @Medium, or @dev.to, or write an article @LinkedIn.