Just Compiling some introductory ML projects done in Python, after a decent amount of files were created I have reorganized to the below
. +-- Basic Projects: Simple projects +-- Data Prep: Data Prep, Cleaning, etc +-- From Scratch Algos: Developing common algos from scratch +-- Time Series: Time Series related projects +-- License +-- README.md
- Iris Classification
- Fake News NLP Classification
- Breast Cancer Classification with a from-scratch SVM
- Fraudulent Banknotes with from-scratch DecisionTree
- Wine Quality Classifier
- MLM imbalanced data tutorial
- MLM data preparation tutorial
- Credit Card Fraud with SMOTE
- Compare Algos mini course
I googled "lists of ML projects" and found this.
https://data-flair.training/blogs/machine-learning-project-ideas/
From MLM https://machinelearningmastery.com/tour-of-real-world-machine-learning-problems/
Credit is due to Quadeel Abbassi on Medium for writing a good article on implementing sgd and walking through the process step by step.
Credit is due to cmukesh8688 on Medium for the insightful blog posts on TfidfVectorizer and fake news.