ML_Projects | I uploaded simple ML-based projects | Machine Learning library

ML_Projects is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning applications. ML_Projects has no bugs, it has no vulnerabilities and it has low support. However ML_Projects build file is not available. You can download it from GitHub.

hello, universe. i just have completed machine learning a-z course from udemy by super data science team instructed by kirill eremenko and hadelin de ponteves. i really enjoyed the course and got to learn many things. in this repository i uploaded the different algorithms of regression, classification and clustering which i learned from the course. i get the datasets from the kaggle and it was also available on the super data science team official website. i implement all the different algorithms on the different datasets. the library i used is numpy, pandas, matplotlib, scikit-learn for the machine learning section. i also done data pre-proccesing and in the end of every file i visualise the data using matplotlib. in multiple linear regression i used backward elimination approach to find out the column of the data which contribute to the algorithm most and i visualise the data using the best fit column of the dataset. i also use feature