Machine Learning- Sudeshna Sarkar's video: Python Exercise on Decision Tree and Linear Regression

@Python Exercise on Decision Tree and Linear Regression

This is the first Machine Learning with Python Exercise of the Introduction to Machine Learning MOOC on NPTEL. It teaches how to perform use linear models and decision trees of Scikit Learn for classification of Iris dataset. Get the ipython notebook for the exercises here: https://github.com/Santara/ML-MOOC-NPTEL/blob/master/lecture1/ML-Anirban_Tutorial1.ipynb Topics covered are: 1. Linear Regression 2. Logistic Regression 3. Decision Tree Regression 4. Decision Tree Classification Tutor: Anirban Santara, Google PhD Fellow, Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur. Homepage: http://santara.github.io Course homepage: https://onlinecourses.nptel.ac.in/noc16_cs18/course

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This video was published on 2016-07-21 15:11:31 GMT by @Machine-Learning--Sudeshna-Sarkar on Youtube. Machine Learning- Sudeshna Sarkar has total 30.6K subscribers on Youtube and has a total of 47 video.This video has received 298 Likes which are higher than the average likes that Machine Learning- Sudeshna Sarkar gets . @Machine-Learning--Sudeshna-Sarkar receives an average views of 62K per video on Youtube.This video has received 24 comments which are higher than the average comments that Machine Learning- Sudeshna Sarkar gets . Overall the views for this video was lower than the average for the profile.

Machine Learning- Sudeshna Sarkar's video: Python Exercise on Decision Tree and Linear Regression

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