MachineLearning-Geek

This repository is open for HacktoberFest2020

feel free to create pull request and If they are valid then you can win T-shirt from Digital Ocean

Add Important Books In machine learning Here

Contribute to open source and make the world A Better Place

Feel free to give a pull request. It should not be spam or invalid. It will be accepted and will be merged if it's valid PR

PS:You will also WIN cool T-shirt from Digital Ocean If you do FOUR successful Pull Requests with.

Hurry Up and Start Coding! :)

Sign In Here To start Hacking

Sign-in on their website before contributing to repository

Event Details

Hacktoberfest® is open to everyone in our global community. Whether you’re a developer, student learning to code, event host, or company of any size, you can help drive growth of open source and make positive contributions to an ever-growing community. All backgrounds and skill levels are encouraged to complete the challenge.

• Hacktoberfest is a celebration open to everyone in our global community.

• Pull requests can be made in any GitHub-hosted repositories/projects.

• You can sign up anytime between October 1 and October 31.

Rules

• To earn your Hacktoberfest tee or tree reward, you must register and make four valid pull requests (PRs) between October 1-31 (in any time zone).
• PRs can be made to any public repo on GitHub, not only the ones with issues labeled Hacktoberfest. If a maintainer reports your pull request as spam or behavior not in line with the project’s code of conduct, you will be ineligible to participate.
• This year, the first 70,000 participants who successfully complete the challenge will be eligible to receive a prize.

Quality Standards

In line with Hacktoberfest values (Quantity is fun, quality is key) , here you are provided examples of pull requests that we consider to be low-quality contributions (which we discourage).

• Pull requests that are automated (e.g. scripted opening pull requests to remove whitespace/fix typos/optimize images).

• Pull requests that are disruptive (e.g. taking someone else's branch/commits and making a pull request).

• Pull requests that are regarded by a project maintainer as a hindrance vs. helping.

• Something that's clearly an attempt to simply +1 your pull request count for October.

Last but not least, one pull request to fix a typo is fine, but 5 pull requests to remove a stray whitespace is not.

Book Lists

1.Artificial Intelligence By Example Develop machine intelligence from scratch using real artificial intelligence
2.Big data Case study collection by Bernard Marr
3.Hands on Machine Learning with Scikit Learn and Tensorflow.

4. DeepLearning-IanGoodfellow
   5.Introduction to Deep Learning
   
5. Linear Regression in Python
   7.Machine Learning with Python Cookbook_ Practical Solutions from Preprocessing to Deep Learning-O’Reilly Media
6. Python Data analysis 2018
   9.Python Machine Learning with Example by PACKT
   
7. Scikit learn cookbook
   
8. Mathematics for Machine Learning- Garrett Thomas
   
9. Machine Learning for Absolute Beginners - Oliver Theobald
   
10. Statistical Methods for Machine Learning - small book
    
11. The Hundred-Page Machine Learning Book - Andriy Burkov

All the books listed here are for educational and research purpose only. All the credits goes to original Authors and publishers of the book.

In case if you find any material not aligning with the policies, you can contact me and I will remove the material.