Python-DataSciencePython: common data analysis and machine learning tasks using python

Python Data Science Tutorials

The Python Language

Useful Online Courses

Data Science with Python

Pandas Library in Python

Machine Learning with Python

Scikit Learn

Linear Regression in Python

Logistic Regression in Python

k Nearest Neighbours in Python

Neural Networks in Python

Decision Trees in Python

Random Forest with Python

Support Vector Machine in Python

NLP / Text Mining in Python

Sentiment Analysis with Python

Pickle: convert a python object into a character stream

AutoML

Regex Related

Shell Scripting

Other good lists

Comments

  • Update README.md
    Update README.md

    Jun 27, 2018

    added creating a sentiment analysis model with Scrapy tutorial and a sentiment analysis comprehensive guide

    Reply
  • adding to your Python Language list
    adding to your Python Language list

    Aug 29, 2018

    Hi, I was wondering if this book might be good resource for learning Python.

    Thank you for your consideration,

    Rada.

    Reply
  • Update basic_commands.py
    Update basic_commands.py

    Sep 22, 2018

    Update basic_commands.py

    Reply
  • Updated ReadMe
    Updated ReadMe

    Sep 30, 2020

    for better reference purpose

    Reply
  • link change
    link change

    Oct 1, 2020

    "Which is better for data analysis: R or Python?" the link change because it provides more details explanation

    Reply
  • Removing dead link
    Removing dead link

    Oct 14, 2020

    Hey @ujjwalkarn

    just removing a dead link.

    Cheers!

    Reply
  • Added regex tester and visualizer
    Added regex tester and visualizer

    Nov 27, 2020

    Hello, I added ExtendsClass (I am the founder). It is an online regex tester and visualizer. It also contains a string generator from regex.

    Reply
  • Added new category
    Added new category "Signal Processing with Python" and added 1 tutorial for signal processing

    Nov 30, 2020

    • Added new category "Signal Processing with Python"
    • Added a link to tutorials to get started on signal processings for machine learning
    Reply
  • Update README.md
    Update README.md

    Feb 6, 2021

    Added a resource on Logistic Regression using Python

    Reply
  • Added Data Analysis with Python and PySpark
    Added Data Analysis with Python and PySpark

    Aug 25, 2021

    Hi,

    Stjepan from Manning here. I thought this title might be a good match to your list. Thank you for considering it.

    Best,

    Reply
  • commenting some commands
    commenting some commands

    Oct 15, 2018

    commenting some commands

    Reply
  • Merge pull request #1 from ujjwalkarn/master
    Merge pull request #1 from ujjwalkarn/master

    Feb 2, 2018

    update from original

                                                                                                                                                                                                           
    Reply
  • Add
    Add "Discover structure behind data with decision trees"

    Jul 21, 2017

                                                                                                                                                                                                           
    Reply
  • Update - Neural Networks Tutorial in Python
    Update - Neural Networks Tutorial in Python

    Mar 27, 2017

    Added "Neural Networks Tutorial - a Pathway to Deep Learning" - http://www.adventuresinmachinelearning.com/neural-networks-tutorial/ in the Neural Networks in Python section

    Reply
  • Added Pandas Cheat Sheet
    Added Pandas Cheat Sheet

    Nov 5, 2016

    I added a cheat sheet to the "Pandas Library in Python" section

    Reply
  • add resources on trees, Random Forests, and pandas
    add resources on trees, Random Forests, and pandas

    Jul 1, 2016

    Hello! Thanks so much for this excellent repository, as well as for including many of my resources! (I'm the guy behind the Data School blog.)

    If you are open to additional contributions, I have linked to some resources of mine that may be of interest to your readers.

    If there is anything you would like me to modify or remove, I'm happy to do it! Just let me know.

    Thanks! Kevin

    Reply
  • Consider Adding DataCamp
    Consider Adding DataCamp

    May 19, 2016

    These are also good interactive resources for students learning Python:

    For Python language: https://www.datacamp.com/courses/intro-to-python-for-data-science For Random Forest: https://www.datacamp.com/courses/intro-to-python-for-data-science

    Thanks!

    Reply
  • Consider adding OpenML.org
    Consider adding OpenML.org

    May 19, 2016

    www.OpenML.org is another place to report results of sklearn benchmarks, much more organized than my GitHub repo that you linked to (currently).

    Reply
  • Add Datascience SE links
    Add Datascience SE links

    May 18, 2016

    Nice job with the repo 👍

    There are some really good learning resources in the data science cousin of SO. Here are some:

    Reply
  • Consider adding links to auto ML tools
    Consider adding links to auto ML tools

    May 19, 2016

    Auto ML tools like TPOT automate the process of designing machine learning pipelines for the user. Could be useful for newcomers to machine learning and data science. Could be worth adding to this list.

    Reply