Naveenraj006 / Begineer-To-Advanced-Guide-in-the-world-of-data-science

Begineer-To-Advanced-Guide-in-the-world-of-data-science

Machine Learning Glossary (Must Read)

Step by Step beginner's Guide to Data Science (Follow Order)

1. A Beginner’s Guide to the Data Science Pipeline
2. A Beginner's Guide to Machine Learning
3. Machine Learning | What's Inside the Box
4. A Tour of The Top 10 Algorithms for Machine Learning Newbies
5. List of Top 8 Essential Algorithms for Machine Learning
6. 6 Steps to Storytelling Your Data Like a Senior Data Scientist
7. Stanford Machine Learning Andrew Ng Notes you can also watch videosVideo Link
8. Google Machine Learning Crash Course
9. Some essential concepts for Data Science
10. Some essential concepts of Machine Learning
11. List of 10 GREAT Data Science Projects to work on

Must Read Articles(There is no order)

• How to start a good Machine Learning project?
• A Comprehensive Guide to Ensemble Learning (with Python codes)
• Ensembling Multiple Machine Learning Models
• Precison and Recall
• Gradient Boosting from scratch
• So you built a Machine Learning model?(Bias and Varience)
• Understanding LSTM Networks : part 1
• Understanding LSTM Networks : part 2
• Choosing the Right Metric for Evaluating ML Models — Part 1(Regression)
• Choosing the Right Metric for Evaluating Machine Learning Models — Part 2(Classification)
• What is LightGBM, How to implement it? How to fine tune the parameters ? - Part 1
• Which algorithm takes the crown: Light GBM vs XGBOOST ? - Part 2
• A Friendly Introduction to Cross-Entropy Loss
• Bayesian Statistics explained to Beginners in Simple English
• Comprehensive & Practical Inferential Statistics Guide for data science
• With all the Data Science and Machine Learning resources out there, here are 7 Great websites to learn from
• Best Machine Learning Slides

Kaggle Tips

• How should a beginner get started on Kaggle? Check first Answer
• The tips and tricks used to succeed on Kaggle
• The Beginner’s Guide to Kaggle
• How to Rank 10% in Your First Kaggle Competition
• Winning Tips on Machine Learning Competitions
• 10 Steps to Success in Kaggle Data Science Competitions
• Top mistakes beginners make while learning data science (Part 1)
• Top mistakes beginners make while learning data science (Part 2)

Web Scraping

• How to Scrape Websites with Python & BeautifulSoup
• Web Scraping, Regular Expressions, & Data Visualization: Doing it All in Python
• A Short-Practical HOW-TO Guide to Webscrape with Python
• Intro to Web Scraping with Python and Beautiful Soup
• Webscraping with Python Tips & Tricks
• Webscraping Using Scrapy
• Data Quest Python API Tutorial
• Codeacademy - How to Use APIs in Python
• List of Python APIs

Special Thanks : Randy Lao

Excellent Projects on Deep Learning

• Projects from Stanford's CS230 (Deep Learning) class

Cheatsheet

Resources for CS 229 - Machine Learning

• Linear Algebra and Calculus cheatsheet Stanford

• Probabilities and Statistics cheatsheet Stanford

• Supervised Learning cheatsheet Stanford

• Unsupervised Learning cheatsheet Stanford

• Machine Learning tips and tricks cheatsheet Stanford

• Deep Learning cheatsheet Stanford

• Super cheatsheet Machine Learning

MONTRÉAL.AI | Montréal Artificial Intelligence

• Montréal Artificial Intelligence Overview

• Five principles for applying data science for social good