This repository contains a few machine learning projects on which I worked on while I was getting familiar with machine learning and data science. They are a good start for someone who is just getting started on ML.
To get started, you must download these softwares and packages to get started
1. Anaconda
2. PyCharm (optional but good to have)
3. Tensorflow
4. PyTorch ( Not used in this repo but good to have)
5. Pandas, Numpy and Matplotlib
A step by step series of examples that tell you how to get a development env running
Say what the step will be
* To download the latest version of Tensorflow, visit [Tensorflow Install](https://www.tensorflow.org/install)
* To download the latest version of Pycharm, visit [PyCharm download](https://www.jetbrains.com/pycharm/download/)
* To download the latest version of PyTorch, visit [PyTorch Install](https://pytorch.org/)
* For downloading Pandas, Numpy, Matplotlib and other relevent packages, visit [PyPi](https://pypi.org/)
The datasets used in this project come from these sources. Please note that it is just a tiny subset of the sources of data that is available on the internet
* [Kaggle](https://www.kaggle.com/)
* [UCI Machine Learning Repository](https://archive.ics.uci.edu/ml/index.php)