ML-notebooks is a repo devoted to Machine learning and deep learning. This repository contains many folder on various data sets collected from kaggle. Along with these data sets I have worked out notebooks on these data sets.
Clone this repository in your local system by
git clone https://github.com/AdityaKumar-01/ML-notebooks.git
or download zip file.
It will create a folder for you with all the content present in this repo for your in order to run it in your local system.
Folder Structure
Every folder has been named on the dataset in that very folder. Like TitanicSurvival folder has titanic data set in it. Every folder has it's data in a folder named data. Some might not have dataset as they are provided by some library like pandas. With data every folder has notebook too with code to work on the dataset. Use them to learn about different models and refer in future.
- Numpy
- Pandas
- Seaborn
- Matpotlib
- Tensorflow
- Keras
- Sklearn (Sci-Kit)