MinimalML

Contains resources for all ML in the way of learning

Pure Nim score 15/100 · last commit 2019-08-07 · 1 stars · tests present · no docs generated

Summary

Latest Version Unknown
License Unknown
CI Status Failing
Stars 1
Forks 0
Open Issues 0
Last Commit 2019-08-07
Downloads 0
Last Indexed 2026-08-01 04:45

Installation

nimble install MinimalML
choosenim install MinimalML
git clone https://gitlab.com/truthseekerbeast/minimalml

OS Compatibility

Platform Linux macOS Windows FreeBSD OpenBSD NetBSD Android iOS WASM Embedded
MinimalML ✓ ✓ ✓ - - - - - - -

Source

Repository https://gitlab.com/truthseekerbeast/minimalml
Homepage https://gitlab.com/truthseekerbeast/minimalml
Registry Source gitlab

README

MinimalML

Step by Step Machine learning.

1. Python

2. Algebra

3. Data Visualization

4. Statistics and Probability Theory

5. Machine Learning Topics and Terms

Major things to focus

Data manipulation in...

Pandas

Num-py

Data visualization in...

MatplotLib

Seaborn

Plotly

Ready to use Machine learning libraries

Scikit-learn also known as sklearn

For Deep learning learn this packages.

Keras and Tensorflow

Other useful tools that are useful but not in python stack.

Excel

Tableau

Cheat sheets for every topics

  1. Data visualization
  2. Chart choice guide
  3. Seaborn cheat sheet

  4. Matplotlib and Seaborn data visualization cheat sheet.

  5. Data exploration

  6. Using Numpy, Pandas and Matplotlib
  7. Using pandas
  8. Numpy
  9. Pandas
  10. Python
  11. Probability
  12. Sql
  13. ML algorithms
  14. Ml algorithms code cheat sheet
  15. sklearn's guide of algorithm choice
  16. Sklearn methods

Links to useful things

Check out the most important links are here