/Data-Science-Starter-Pack

Learn and Grow together

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

DataScience-Projects

This repository contains a pathway for practical approach to learn data-science with python by implementing a variety of well documented projects along with hand made notes to learn different skills that can be required for working with python and data-science.

Topics Covered.

1) Programming with python

   *Basic python programming.
   *Working with tkinter.
   *Working with flask.
   *Web-Scraping with beautiful soup.

2) Data Analysis.

   *Working with pandas to analyse differet datasets.

3) Data Visualization.

   *Using matplotlib.
   *Using seaborn.
   *Using pandas.
   *Using D3-js.

4) Machine Learning and Forcasting Techniques.

   *Linear Regression.
   *Logistic Regression.
   *KNN.
   *Decision Tree.
   *Random Forest.
   *Dimentionality Reduction Techniques.
   *Time Series Analysis.

5) Deep Learning.

   *Deep Learning with Keras.
   *Deep Learning using open-cv.
   *Deep Learning using tensorflow.

6) Data bases.

   *No-Sql databases(MongoDb).
   *Sql databases.

7) NLP.

   *RegEx.

8) Mathematical Foundations.





Disclaimer

This repository is maintained by "Akshat Bhatt". In case you have any issue regarding any topic from this repository, feel free to contact me at akshatrabhatt@gmail.com