Python Data Science Handbook
https://jakevdp.github.io/PythonDataScienceHandbook/
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https://jakevdp.github.io/PythonDataScienceHandbook/
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Free Machine Learning Courses
Machine Learning with Python: Zero to GBMs
🎬 Watch hands-on coding-focused video tutorials
🧮 Practice coding with cloud Jupyter notebooks
💻 Build an end-to-end real-world course project
📜 Earn a verified certificate of accomplishment
📊 You will solve 2 coding assignments & build a course project where you'll train ML models using a large real-world datasets
🔗 Course Link
MIT RES.LL-005 Mathematics of Machine Learning and Big Data, IAP 2020
🎬 20 video lesson
Duration ⏰: 14 hours worth of material
🏃♂️ Self paced
Source: MIT open courseware
🔗 Course Link
Introduction to Machine Learning, IIT Kharagpur
🆓 Free Online Course
💻 44 Lecture Videos
🏃♂️ Self paced
Teacher 👨🏫 : Prof. S. Sarkar
🔗 Course Link
Machine Learning Crash Course
🧮 30+ Exercises
⏰ 15 hours
💻 Real-world case studies
📜 Lectures from Google researchers
📊 Interactive visualizations
🔗 Course Link
FOUNDATIONS OF MACHINE LEARNING
by Bloomberg
Understand the Concepts, Techniques and Mathematical Frameworks Used by Experts in Machine Learning
🎬 30 video lessons with slides
⏰ 28 hours
🔗 Course Link
Introduction to Machine Learning (Fall 2020)
By Massachusetts Institute of Technology, MIT
🎬 Video Lectures
⏰ Length: 13 weeks
🏃♂️ Self paced
Source: MIT
🔗 Course link
Introduction to Machine Learning Problem Framing
By Google
⏰ Length: 1 hour
🏃♂️ Self paced
Source: Google
🔗 Course link
Undergraduate Machine Learning (Nando de Freitas/University of British Columbia)
Author: prof Nando de Freitas
🎬 33 lessons
⏰ 21 hours
🏃♂️ Self paced
Source: YouTube
🔗 Course link
Stanford CS224W course on graph ML
A legendary Stanford CS224W course on graph ML now releases videos on YouTube for 2021
🎬 60 Videos
⏰ 30h
🔗 Course link
Books
Mathematics for Machine Learning
Approaching (Almost) Any Machine Learning Problem
Machine Learning
GitHub Repositories
Machine Learning University: Accelerated Natural Language Processing Class
Hands on ML notebook series
Machine learning cheat sheet with code
Article
Machine Learning is Fun!
#Machine_Learning
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Machine Learning with Python: Zero to GBMs
🎬 Watch hands-on coding-focused video tutorials
🧮 Practice coding with cloud Jupyter notebooks
💻 Build an end-to-end real-world course project
📜 Earn a verified certificate of accomplishment
📊 You will solve 2 coding assignments & build a course project where you'll train ML models using a large real-world datasets
🔗 Course Link
MIT RES.LL-005 Mathematics of Machine Learning and Big Data, IAP 2020
🎬 20 video lesson
Duration ⏰: 14 hours worth of material
🏃♂️ Self paced
Source: MIT open courseware
🔗 Course Link
Introduction to Machine Learning, IIT Kharagpur
🆓 Free Online Course
💻 44 Lecture Videos
🏃♂️ Self paced
Teacher 👨🏫 : Prof. S. Sarkar
🔗 Course Link
Machine Learning Crash Course
🧮 30+ Exercises
⏰ 15 hours
💻 Real-world case studies
📜 Lectures from Google researchers
📊 Interactive visualizations
🔗 Course Link
FOUNDATIONS OF MACHINE LEARNING
by Bloomberg
Understand the Concepts, Techniques and Mathematical Frameworks Used by Experts in Machine Learning
🎬 30 video lessons with slides
⏰ 28 hours
🔗 Course Link
Introduction to Machine Learning (Fall 2020)
By Massachusetts Institute of Technology, MIT
🎬 Video Lectures
⏰ Length: 13 weeks
🏃♂️ Self paced
Source: MIT
🔗 Course link
Introduction to Machine Learning Problem Framing
By Google
⏰ Length: 1 hour
🏃♂️ Self paced
Source: Google
🔗 Course link
Undergraduate Machine Learning (Nando de Freitas/University of British Columbia)
Author: prof Nando de Freitas
🎬 33 lessons
⏰ 21 hours
🏃♂️ Self paced
Source: YouTube
🔗 Course link
Stanford CS224W course on graph ML
A legendary Stanford CS224W course on graph ML now releases videos on YouTube for 2021
🎬 60 Videos
⏰ 30h
🔗 Course link
Books
Mathematics for Machine Learning
Approaching (Almost) Any Machine Learning Problem
Machine Learning
GitHub Repositories
Machine Learning University: Accelerated Natural Language Processing Class
Hands on ML notebook series
Machine learning cheat sheet with code
Article
Machine Learning is Fun!
#Machine_Learning
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jovian.ai
Machine Learning with Python: Zero to GBMs | Jovian
A beginner-friendly introduction to supervised machine learning, decision trees, and gradient boosting using Python and Scikit-learn.
STATISTICS FOR DATA SCIENCE COURSE
Complete Statistics for Data Science in 6 hrs by Krish Naik
https://youtu.be/LZzq1zSL1bs
#data_science #stat
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Complete Statistics for Data Science in 6 hrs by Krish Naik
https://youtu.be/LZzq1zSL1bs
#data_science #stat
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YouTube
Complete Statistics For Data Science In 6 hours By Krish Naik
Statistics is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or…
LeetCode_SQL_Questions_With_Solutions.pdf
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LEETCODE SQL QUESTIONS WITH SOLUTIONS
🔥🔥Build GPT: from scratch, in code, spelled out🔥🔥.
If you're a beginner interested in learning about Neural Networks, Andrej Karpathy Youtube-series on "Neural Networks: Zero to Hero" can introduce you to the basics of Neural Networks and language modeling.
Already have this knowledge and want to do an amazing project?😍
His new course on how to build your own GPT!😱 from scratch is a must watch.
Link: https://youtu.be/kCc8FmEb1nY
Interesting not only for beginners, but for pro's as well to recap and grab new details
#ai #deeplearning #neuralnetworks #gpt
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If you're a beginner interested in learning about Neural Networks, Andrej Karpathy Youtube-series on "Neural Networks: Zero to Hero" can introduce you to the basics of Neural Networks and language modeling.
Already have this knowledge and want to do an amazing project?😍
His new course on how to build your own GPT!😱 from scratch is a must watch.
Link: https://youtu.be/kCc8FmEb1nY
Interesting not only for beginners, but for pro's as well to recap and grab new details
#ai #deeplearning #neuralnetworks #gpt
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YouTube
Neural Networks: Zero to Hero
Share your videos with friends, family, and the world
Data Science GitHub Repositories
freeCodeCamp
https://github.com/freeCodeCamp/freeCodeCamp
Data Science For Beginners
https://github.com/microsoft/Data-Science-For-Beginners
The Open Source Data Science Masters
https://github.com/datasciencemasters/
Free Data Science Books
https://github.com/chaconnewu/free-data-science-books
Data Science Curriculum
https://github.com/ossu/data-science
Awesome Data Science
https://github.com/academic/awesome-datascience
Data Science All Cheat Sheet
https://github.com/yash42828/Data-Science--All-Cheat-Sheet
Best of ML with Python
https://github.com/ml-tooling/best-of-ml-python
Data Science Interview Resources - Interview Questions
https://github.com/rbhatia46/Data-Science-Interview-Resources
#data_science #ml
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*This channel belongs to @bigdataspecialist group
freeCodeCamp
https://github.com/freeCodeCamp/freeCodeCamp
Data Science For Beginners
https://github.com/microsoft/Data-Science-For-Beginners
The Open Source Data Science Masters
https://github.com/datasciencemasters/
Free Data Science Books
https://github.com/chaconnewu/free-data-science-books
Data Science Curriculum
https://github.com/ossu/data-science
Awesome Data Science
https://github.com/academic/awesome-datascience
Data Science All Cheat Sheet
https://github.com/yash42828/Data-Science--All-Cheat-Sheet
Best of ML with Python
https://github.com/ml-tooling/best-of-ml-python
Data Science Interview Resources - Interview Questions
https://github.com/rbhatia46/Data-Science-Interview-Resources
#data_science #ml
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GitHub
GitHub - freeCodeCamp/freeCodeCamp: freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free. - freeCodeCamp/freeCodeCamp
🔥Best Data Science Hackathon Platforms 🔥
1) MachineHack
https://machinehack.com/hackathons
2) Kaggle
https://www.kaggle.com/competitions
3) HackerEarth
https://www.hackerearth.com/challenges/
4) DataHack
https://datahack.analyticsvidhya.com/
5) DrivenData
https://www.drivendata.org/competitions/
6) Techgig
https://www.techgig.com/challenge
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1) MachineHack
https://machinehack.com/hackathons
2) Kaggle
https://www.kaggle.com/competitions
3) HackerEarth
https://www.hackerearth.com/challenges/
4) DataHack
https://datahack.analyticsvidhya.com/
5) DrivenData
https://www.drivendata.org/competitions/
6) Techgig
https://www.techgig.com/challenge
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Machinehack
Test & Practise Your Machine Learning Skills. Compete against hundreds of Data Scientists, with our industry curated Hackathons.
In a regression model, when does the model fit the data relatively well?
Anonymous Quiz
18%
When the cost function is very high
71%
When the cost function is at or near a minimum
11%
I have no idea
🔥
2023 Program has started!
🚀 Course
http://introtodeeplearning.com/
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2023 MIT Introduction to Deep Learning2023 Program has started!
🚀 Course
http://introtodeeplearning.com/
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MIT Deep Learning 6.S191
MIT's introductory course on deep learning methods and applications
The 5 Best Places To Host Your Data Science Portfolio
https://www.kdnuggets.com/2022/07/5-best-places-host-data-science-portfolio.html
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https://www.kdnuggets.com/2022/07/5-best-places-host-data-science-portfolio.html
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KDNuggets
The 5 Best Places To Host Your Data Science Portfolio
How can you showcase your data scientist skills and abilities? The answer to this question is online platforms where you can publish your portfolio and seize opportunities.