30daysofML

This repo contains all notebooks, events, collaborations and other resource materials used for the 30 days of Machine Learning

WEEK 1: Python Foundation

Basic Arithmetics in Python, Variables and Data Types in Python, Data Structures, Conditional statements, Loops, and conditions

Introduction to libraries such as Pandas, Matplotlib, Seaborn, and Numpy

Name		Name	Last commit message	Last commit date
Latest commit History 39 Commits
Admission-Prediction-Model		Admission-Prediction-Model
Data Wrangling		Data Wrangling
Dataset		Dataset
Foundation of Python Programming		Foundation of Python Programming
GROUP-1-PROJECT		GROUP-1-PROJECT
Project		Project
insurance		insurance
project		project
regression		regression
Copy_of_Supervised_Learning_Classification.ipynb		Copy_of_Supervised_Learning_Classification.ipynb
Introduction and Onboarding.pptx		Introduction and Onboarding.pptx
PastHires.csv		PastHires.csv
README.md		README.md
Regression analysis.ipynb		Regression analysis.ipynb