jnlandu/base_ml_algo

Implementation of the Basic Machine Learning Algorithms

base_ml_algo:

Developing version of the implementation of basic machine learning algorithms taught/discussed in class at the AIMS AMMI program (visit https://aimsammi.org/)

Short details

This repository contains assignmemts, tests, quizes, and projects, that we did/will be doing at the AIMS AMMI program. For the actual version, no much is done althought some a few works are already uploaded, notaby the implementation:

• gradient descent method and its variants: Mini-Bacth GD and Stochastic GD.
• logistic regression, implementaion from scratch. The details about the dataset used will be given later.
• linear regression, likewise, details for the the datasets will be discussed later. Most of those codes are written in python and use several packages libraies such as numpy, pandas,pytorch, etc.

Changes from now to March 31, 2024

We aim at to:

• improve the code just uploaded, broaden it and include more features that have not appeared so far.
• improve also the readability of the codes.
• add related (short courses/short summary) of each concepts and/or techniques that have been used so far.
• have the same codes but written in R (or Julia).
• add collaboration, where needed.

Datasets

For most of the present codes, we use the dataset provided by an appropriate library/package. For instance for the logistic implementation, the wide-known dataset iris from sklearn was used to test our codes.