Tanujit Chakraborty's Blog
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​One Week Online Workshop on Statistics and Machine Learning in Practice
Date : July 25 to July 31, 2020  ​
Jointly Organized by STAT&ML Lab & BKC College, Kolkata.

 
​Talk Slides and Videos: YouTube Full Playlist Link

Brochure of the Workshop.pdf
File Size: 1047 kb
File Type: pdf
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Program Details.pdf
File Size: 49 kb
File Type: pdf
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Probability and Statistics by Debolina Ghatak.pdf
File Size: 430 kb
File Type: pdf
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Basic Statistics in R by Debolina Ghatak.pdf
File Size: 135 kb
File Type: pdf
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Linear and Logistic Regression by Suman Guha.pdf
File Size: 1161 kb
File Type: pdf
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Introduction to Machine Learning by Sourav Nandi.pdf
File Size: 1642 kb
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Dimension Reduction Techniques by Atanu Ghosh.pdf
File Size: 1262 kb
File Type: pdf
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Regression Tree and MARS by Munmun Biswas.pdf
File Size: 904 kb
File Type: pdf
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Ensemble Learning by Srijit Mukherjee.pdf
File Size: 1863 kb
File Type: pdf
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Trees and Forests in R by Srijit Mukherjee.pdf
File Size: 656 kb
File Type: pdf
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Trees, Ensembles and Neural Nets by Tanujit Chakraborty.pdf
File Size: 7429 kb
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Hands on with Python by Tanujit Chakraborty.pdf
File Size: 505 kb
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Unsupervised Learning by Swarup Chattopadhyay.pdf
File Size: 1619 kb
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Spectral Clustering by Aparajita Khan.pdf
File Size: 8917 kb
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Deep Learning by Bikash Santra.pdf
File Size: 4285 kb
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Market Basket Analysis by Sourav Maji.pdf
File Size: 862 kb
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Time Series Forecasting by Raju Maiti.pdf
File Size: 532 kb
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Data and Codes.zip
File Size: 4155 kb
File Type: zip
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Contact Me

Dr. Tanujit Chakraborty 
Mathematics and Numerical Sciences Unit, Sorbonne Université. 
Researcher and Advisor at Sorbonne Center for Artificial Intelligence.  

Senior Fellow at Centre for Data Sciences, IIIT Bangalore, India.
​​Email: ctanujit@gmail.com​ 

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Code Repository at GitHub
Publications at Google Scholar
Research Profile at​ ResearchGate

​​© 2013 onwards - All rights reserved to Tanujit Chakraborty.​​

  • HOME
  • BIOGRAPHY
  • RESEARCH
    • Research interests
    • PUBLICATIONS
  • TEACHING
    • DATA ANALYTICS (MBA)
    • MULTIVARIATE DATA ANALYTICS (MATH260)
    • MACHINE LEARNING (MATH370)
    • STATISTICAL INFERENCE (MATH350)
    • ANALYSIS (UG LEVEL)
  • MY TALKS
  • RESOURCES
    • LECTURE NOTES
    • BOOKS I WROTE
    • VIDEO LETURES
  • WORKSHOPS
    • WORKSHOP ON ML
    • TOUR OF AI
    • Workshop on Data Analytics
  • STAT & ML LAB
    • STAT & ML LAB
    • APPLY HERE
    • STUDENTS
  • ETC.