Applied Data Science in python from Noob to Ninja
Applied Machine learning in python from Noob to Ninja using tools like pandas, numpy, Scikit-Learn, Keras, etc, built for use in the gdg bootcamp.
Getting Started
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
Prerequisites
What things you need to install the software and how to install them.
Install and run Jupyter notebook with python 3 The requisites is defined in requirements.txt file
pip install -r requirements
Running example
A step by step series of examples that tell you how to get a development env running
Say what the step will be
Open jupyter notebook and run the example
Built With
- Python - The programming language used
- Pandas - Library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming
- Scikit-Learn - Simple and efficient tools for data mining and data analysis
- NumPy - Scientific computing with Python
- Keras - The Python Deep Learning library
Authors
- Iván Cáceres based on Coursera's Applied Data Science with Python Specialization (https://www.coursera.org/specializations/data-science-python)
License
This project is licensed under the MIT License - see the LICENSE.md file for details