NOC: Reinforcement Learning, IIT Madras
🆓 Free Online Course
💻 65 Lecture Videos
⏰ 12 Modules
🏃♂️ Self paced
Teacher 👨🏫 : Dr. B. Ravindran
🔗 https://nptel.ac.in/courses/106106143
#Reinforcement_Learning #IIT
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🆓 Free Online Course
💻 65 Lecture Videos
⏰ 12 Modules
🏃♂️ Self paced
Teacher 👨🏫 : Dr. B. Ravindran
🔗 https://nptel.ac.in/courses/106106143
#Reinforcement_Learning #IIT
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Applications of Deep Neural Networks
Washington University in St. Louis
https://sites.wustl.edu/jeffheaton/t81-558/
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Washington University in St. Louis
https://sites.wustl.edu/jeffheaton/t81-558/
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sites.wustl.edu
T81-558:Applications of Deep Neural Networks | Jeff Heaton | Washington University in St. Louis
Course Description Deep learning is a group of exciting new technologies for neural networks. Through a combination of advanced training techniques a...
Free Data Mining Courses
NOC:Data Mining, IIT Kharagpur
🎬 44 video lesson
⏰ 8 Modules
Taught by: Prof. Pabitra Mitra
Source: NPTEL
🔗 COURSE LINK
Data Mining for Beginners | Data Mining Full course | Learn Data Mining in 10 Hours | Great Learning
🎬 17 video lesson
Duration ⏰ : 10 hours worth of material
🏃♂️ Self paced
Source: Great Learning
🔗 COURSE LINK
NOC:Business analytics and data mining Modeling using R, IIT Roorkee
🎬 56 video lesson
⏰ 12 Modules
🔗 COURSE LINK
NOC:Business Analytics & Data Mining Modeling Using R Part II, IIT Roorkee
🎬 20 video lesson
⏰ 4 Modules
🔗 COURSE LINK
Taught by: Dr. Gaurav Dixit
Source: NPTEL
Data Mining with Weka MOOC
✅ Free Online Course
🧱 5 modules
🎬 Video Lectures
🏃♂️ Self paced
Source: University of Waikato
Taught by: Ian H. Witten
🔗 Course Link
WEKA - Data Mining with Open Source Machine Learning Tool
Rating⭐️: 4.2 out 5
Students 👨🎓 : 12,485`
Duration ⏰ : 3hr 30min of on-demand video
Teacher 👨🏫: DATAhill Solutions Srinivas Reddy
🔗 COURSE LINK
Data Mining Crash Course
🎬 6 video lesson
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🏃♂️ Self paced
Source: Data Science Dojo
🔗 Course Link
Clustering in Data mining | K means Clustering Algorithm | Hierarchical Clustering | Great Learning
🎬 86 video lesson
Duration ⏰: 3-4 hours worth of material
🏃♂️ Self paced
Source: Great Learning
🔗 Course Link
Mining Online Data Across Social Networks
⏰ Free Online Course
🎬 30 video lesson
Duration ⏰: 1-2 hours worth of material
🏃♂️ Self paced
Source: Class Central
🔗 Course Link
DATA MINING (DM)
⏰ Free Online Course
🏃♂️ Self paced
Source: YouTube
🔗 Course Link
#Data_Mining
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NOC:Data Mining, IIT Kharagpur
🎬 44 video lesson
⏰ 8 Modules
Taught by: Prof. Pabitra Mitra
Source: NPTEL
🔗 COURSE LINK
Data Mining for Beginners | Data Mining Full course | Learn Data Mining in 10 Hours | Great Learning
🎬 17 video lesson
Duration ⏰ : 10 hours worth of material
🏃♂️ Self paced
Source: Great Learning
🔗 COURSE LINK
NOC:Business analytics and data mining Modeling using R, IIT Roorkee
🎬 56 video lesson
⏰ 12 Modules
🔗 COURSE LINK
NOC:Business Analytics & Data Mining Modeling Using R Part II, IIT Roorkee
🎬 20 video lesson
⏰ 4 Modules
🔗 COURSE LINK
Taught by: Dr. Gaurav Dixit
Source: NPTEL
Data Mining with Weka MOOC
✅ Free Online Course
🧱 5 modules
🎬 Video Lectures
🏃♂️ Self paced
Source: University of Waikato
Taught by: Ian H. Witten
🔗 Course Link
WEKA - Data Mining with Open Source Machine Learning Tool
Rating⭐️: 4.2 out 5
Students 👨🎓 : 12,485`
Duration ⏰ : 3hr 30min of on-demand video
Teacher 👨🏫: DATAhill Solutions Srinivas Reddy
🔗 COURSE LINK
Data Mining Crash Course
🎬 6 video lesson
Duration ⏰: 1-2 hours worth of material
🏃♂️ Self paced
Source: Data Science Dojo
🔗 Course Link
Clustering in Data mining | K means Clustering Algorithm | Hierarchical Clustering | Great Learning
🎬 86 video lesson
Duration ⏰: 3-4 hours worth of material
🏃♂️ Self paced
Source: Great Learning
🔗 Course Link
Mining Online Data Across Social Networks
⏰ Free Online Course
🎬 30 video lesson
Duration ⏰: 1-2 hours worth of material
🏃♂️ Self paced
Source: Class Central
🔗 Course Link
DATA MINING (DM)
⏰ Free Online Course
🏃♂️ Self paced
Source: YouTube
🔗 Course Link
#Data_Mining
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Free Big Data Courses
Complete Big Data
🎬 13 video lesson
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Source: Class Central
🔗 COURSE LINK
Big Data 101 (Login Required)
⏳Modules: 6
Duration ⏰: 3 hours worth of material
🏃♂️ Self paced
Source: IBM via Cognitive Class
🔗 COURSE LINK
Introduction to Big Data - an overview of the 10 V's
Rating⭐️: 4.4 out 5
Students 👨🎓 :15,630
Duration ⏰ : 40min of on-demand video
Teacher 👨🏫: Taimur Zahid
🔗 COURSE LINK
MIT RES.LL-005 Mathematics of Big Data and Machine Learning, IAP 2020
🎬 20 video lesson
Duration ⏰: 14 hours worth of material
🏃♂️ Self paced
Source: MIT open courseware
🔗 Course Link
NOC:Big Data Computing, IIT Patna
🎬 35 video lesson
⏰ 8 Modules
Taught by: Dr. Rajiv Misra
Source: NPTEL
🔗 COURSE LINK
Algorithms for Big Data (COMPSCI 229r)
🎬 25 video lesson
Duration ⏰: 34 hours worth of material
🏃♂️ Self paced
Source: Harvard University
🔗 Course Link
NOC:Algorithms for Big Data, IIT Madras
🎬 48 video lesson
⏰ 8 Modules
Taught by: Prof. John Augustine
Source: NPTEL
🔗 COURSE LINK
Big Data Hadoop Tutorial for Beginners
🎬 17 video lesson
Duration ⏰: 4-5 hours worth of material
🏃♂️ Self paced
Source: Great Learning
🔗 Course Link
Big Data Analytics Full Course In 10 Hours | Big Data Hadoop Tutorial
🎬 5 video lesson
Duration ⏰: 10 hours worth of material
🏃♂️ Self paced
Source: Great Learning
🔗 Course Link
Big Data Analytics
⏰ Free Online Course
🎬 70 video lesson
Duration ⏰: 19 hours worth of material
🏃♂️ Self paced
Source: caltech via youtube
🔗 Course Link
Stanford Seminar - Big Data is (at least) Four Different Problems
⏰ Free Online Course
🎬 27 video lesson
Duration ⏰: 1-2 hours worth of material
🏃♂️ Self paced
Source: Stanford Online via YouTube
🔗 Course Link
#Big_Data
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Complete Big Data
🎬 13 video lesson
Duration ⏰: 2-3 hours worth of material
🏃♂️ Self paced
Source: Class Central
🔗 COURSE LINK
Big Data 101 (Login Required)
⏳Modules: 6
Duration ⏰: 3 hours worth of material
🏃♂️ Self paced
Source: IBM via Cognitive Class
🔗 COURSE LINK
Introduction to Big Data - an overview of the 10 V's
Rating⭐️: 4.4 out 5
Students 👨🎓 :15,630
Duration ⏰ : 40min of on-demand video
Teacher 👨🏫: Taimur Zahid
🔗 COURSE LINK
MIT RES.LL-005 Mathematics of Big Data and Machine Learning, IAP 2020
🎬 20 video lesson
Duration ⏰: 14 hours worth of material
🏃♂️ Self paced
Source: MIT open courseware
🔗 Course Link
NOC:Big Data Computing, IIT Patna
🎬 35 video lesson
⏰ 8 Modules
Taught by: Dr. Rajiv Misra
Source: NPTEL
🔗 COURSE LINK
Algorithms for Big Data (COMPSCI 229r)
🎬 25 video lesson
Duration ⏰: 34 hours worth of material
🏃♂️ Self paced
Source: Harvard University
🔗 Course Link
NOC:Algorithms for Big Data, IIT Madras
🎬 48 video lesson
⏰ 8 Modules
Taught by: Prof. John Augustine
Source: NPTEL
🔗 COURSE LINK
Big Data Hadoop Tutorial for Beginners
🎬 17 video lesson
Duration ⏰: 4-5 hours worth of material
🏃♂️ Self paced
Source: Great Learning
🔗 Course Link
Big Data Analytics Full Course In 10 Hours | Big Data Hadoop Tutorial
🎬 5 video lesson
Duration ⏰: 10 hours worth of material
🏃♂️ Self paced
Source: Great Learning
🔗 Course Link
Big Data Analytics
⏰ Free Online Course
🎬 70 video lesson
Duration ⏰: 19 hours worth of material
🏃♂️ Self paced
Source: caltech via youtube
🔗 Course Link
Stanford Seminar - Big Data is (at least) Four Different Problems
⏰ Free Online Course
🎬 27 video lesson
Duration ⏰: 1-2 hours worth of material
🏃♂️ Self paced
Source: Stanford Online via YouTube
🔗 Course Link
#Big_Data
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Data Science and Machine Learning [PDF]
Mathematical and Statistical Methods
Dirk P. Kroese, Zdravko I. Botev, Thomas Taimre, Radislav Vaisman
8th May 2022
533 pages
🔗 Read online
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Mathematical and Statistical Methods
Dirk P. Kroese, Zdravko I. Botev, Thomas Taimre, Radislav Vaisman
8th May 2022
533 pages
🔗 Read online
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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. Earn a verified certificate of accomplishment by completing assignments & building a real-world project.
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…