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<html>
<head>
<title>Subhankar Mishra | CS460 Machine Learning 2023</title>
<link href="https://www.niser.ac.in/~smishra/css/smlab.css" rel="stylesheet" type="text/css" />
<meta name="viewport" content="width=device-width, initial-scale=1">
</head>
<body>
<div class="container">
<header>
<h1>SUBHANKAR MISHRA</h1>
<h2>ଶୁଭଙ୍କର ମିଶ୍ର</h2>
</header>
<p>
Reader-F, School of Computer Sciences, NISER <br>
ପାଠକ-ଏଫ, ସଂଗଣକ ବିଜ୍ଞାନ ବିଦ୍ୟାଳୟ, ନାଇଜର <br>
</p>
<hr /> <br>
<div class="item">
<h2>CS460/660 - Machine Learning 2023 (2022-23 Even Semester)</h2>
</div>
<h3>Syllabus</h3>
<ul>
<li>Learning, Inductive Bias, Features, Labels, Basics of Statistics and Probability</li>
<li>Supervised Learning - Some models</li>
<li>Ensemble Methods: Bagging, Boosting. Learning Theory</li>
<li>Unsupervised Learning - Some models</li>
<li>Reinforcement Learning Basics (if time permits)</li>
</ul>
<h3>Expected skills (No mandatory prerequisite)</h3>
<ul>
<li>Algorithms (CS301 or equivalent)</li>
<li>Python</li>
<li>Probability and Statistics</li>
</ul>
<h3>Grading scheme </h3>
Grading will be absolute.
<ul>
<li>Project - 40 marks</li>
<li>Assignment - 10 marks</li>
<li>Midterm - 10 marks</li>
<li>Endterm - 40 marks</li>
<li>Total -100 marks</li>
</ul>
<h3>Lectures</h3>
<table>
<thead>
<tr>
<th>Week</th>
<th>Lec #</th>
<th>Topic</th>
<th>Slide</th>
</tr>
</thead>
<tbody>
<tr>
<td rowspan="4">Week 1</td>
<td>1</td>
<td>Course Logistics and Introduction</td>
<td></td>
</tr>
<tr>
<td>2</td>
<td>Generalization</td>
<td rowspan="3"><a
href="https://www.niser.ac.in/~smishra/teach/cs460/23cs460/lectures/lec1.pdf">Group1</a>
</td>
</tr>
<tr>
<td>3</td>
<td>Why and when Machine Learning, </td>
<!-- <td><a href="https://www.niser.ac.in/~smishra/teach/cs460/23cs460/lectures/lec2.pdf">Group1</a></td> -->
</tr>
<tr>
<td>4</td>
<td>Inductive Learning, Structured Data </td>
<!-- <td><a href="https://www.niser.ac.in/~smishra/teach/cs460/23cs460/lectures/lec3.pdf">Group2</a></td> -->
</tr>
<tr>
<td rowspan="4">Week 2</td>
<td>5</td>
<td>Decision Trees</td>
<td rowspan="2"><a
href="https://www.niser.ac.in/~smishra/teach/cs460/23cs460/lectures/lec2.pdf">Group2</a>
</td>
</tr>
<tr>
<td>6</td>
<td>Inductive Bias</td>
</tr>
<tr>
<!-- Jan 6 -->
<td>7</td>
<td>Expected Loss, Inductive vs Transductive learning</td>
<td rowspan="2"><a
href="https://www.niser.ac.in/~smishra/teach/cs460/23cs460/lectures/lec3.pdf">Group3</a>
</td>
</tr>
<tr>
<td>8</td>
<td>General approach for Machine Learning </td>
</tr>
<tr>
<td rowspan="4">Week 3</td>
<td>9</td>
<td>Types of Machine Learning (Based on Input and Output) </td>
<td><a href="https://www.niser.ac.in/~smishra/teach/cs460/23cs460/lectures/lec4.pdf">Group4</a></td>
</tr>
<tr>
<td>10</td>
<td>Supervised Learning - Linear SVM</td>
<td rowspan="2"><a
href="https://www.niser.ac.in/~smishra/teach/cs460/23cs460/lectures/lec5.pdf">Group5</a>
</td>
</tr>
<tr>
<td>11</td>
<td>Supervised Learning - Linear SVM (Continued)</td>
</tr>
<tr>
<td>12</td>
<td>Linear Regression</td>
<td rowspan="2"><a
href="https://www.niser.ac.in/~smishra/teach/cs460/23cs460/lectures/lec6.pdf">Group6</a>
</td>
</tr>
<tr>
<td rowspan="4">Week 4</td>
<td>13</td>
<td>Linear Regression (Continued)</td>
<td></td>
</tr>
<tr>
<td>14</td>
<td>Gradient Descent</td>
<td rowspan="2"><a
href="https://www.niser.ac.in/~smishra/teach/cs460/23cs460/lectures/lec7.pdf">Group7</a>
</td>
</tr>
<tr>
<td>15</td>
<td>Gradient Descent (Continued)</td>
</tr>
<tr>
<td>16</td>
<td>Logistic Regression</td>
<td><a href="https://www.niser.ac.in/~smishra/teach/cs460/23cs460/lectures/lec8.pdf">Group8</a></td>
</tr>
<tr>
<td rowspan="1">Week 5 (Jan 30 - Feb 3)</td>
<td></td>
<td>Project Proposal Presentations</td>
<td></td>
</tr>
<tr>
<td rowspan="5">Week 6</td>
<td>-</td>
<td>Quiz - 1 </td>
<td></td>
</tr>
<tr>
<td>17</td>
<td>Decision Trees - CART </td>
<td rowspan="2"><a
href="https://www.niser.ac.in/~smishra/teach/cs460/23cs460/lectures/lec9.pdf">Group9</a>
</td>
</tr>
<tr>
<td>18</td>
<td>Decision Trees - CART - Continued</td>
</tr>
<tr>
<td>-</td>
<td>Decision Trees - ID3</td>
<td><a href="https://www.niser.ac.in/~smishra/teach/cs460/23cs460/lectures/lec10.pdf">Group10</a>
</td>
</tr>
<tr>
<td>19</td>
<td>SVM - Hinge Loss</td>
<td><a href="https://www.niser.ac.in/~smishra/teach/cs460/23cs460/lectures/lec11.pdf">Group11</a>
</td>
</tr>
<tr>
<td rowspan="4">Week 7</td>
<td>20</td>
<td>SVM - Kernel Functions <a
href="https://see.stanford.edu/materials/aimlcs229/cs229-notes3.pdf">CS229 Notes - Andrew
Ng</a></td>
<td rowspan="2"><a
href="https://www.niser.ac.in/~smishra/teach/cs460/23cs460/lectures/lec12.pdf">Group12</a>
</td>
</tr>
<tr>
<td>21</td>
<td>SVM - Kernel Functions - Continued</td>
</tr>
<tr>
<td>22</td>
<td>kNN</td>
<td rowspan="2"><a href="https://www.niser.ac.in/~smishra/teach/cs460/23cs460/lectures/lec13.pdf">Group13</a>
</td>
</tr>
<tr>
<td>-</td>
<td>kNN Implementation</td>
<td></td>
</tr>
<tr>
<td rowspan="4">Week 8</td>
<td>23</td>
<td>Feature Engineering (One-hot encoding, bucketing, normalization, standardisation, missing
features, imbalanced dataset) </td>
<td><a href="https://www.niser.ac.in/~smishra/teach/cs460/23cs460/lectures/lec14.pdf">Group14</a>
</td>
</tr>
<tr>
<td>24</td>
<td>Model Performance Assessment</td>
<td rowspan="2"><a
href="https://www.niser.ac.in/~smishra/teach/cs460/23cs460/lectures/lec15.pdf">Group15</a>
</td>
</tr>
<tr>
<td>25</td>
<td>Hyperparameter Tuning</td>
</tr>
<tr>
<td>-</td>
<td></td>
<td></td>
</tr>
<tr>
<td rowspan="3">Week 9</td>
<td>26</td>
<td>Unsupervised Learning - Clustering - kMeans</td>
<td rowspan="3"><a href="https://www.niser.ac.in/~smishra/teach/cs460/23cs460/lectures/lec16.pdf">Group16</a>
</td>
</tr>
<tr>
<td>27</td>
<td>Unsupervised Learning - Clustering - DBSCAN</td>
</td>
</tr>
<tr>
<td>28</td>
<td>Unsupervised Learning - How to find the number of clusters?</td>
</tr>
<tr>
<td rowspan="1">Week 10,11 (Mar 6 - Mar 17)</td>
<td></td>
<td>Project Midterm Presentations</td>
<td></td>
</tr>
<tr>
<td rowspan="4">Week 12</td>
<td>29</td>
<td>Unsupervised Learning - Dimensionality reduction PCA</td>
<td rowspan="2"><a href="https://www.niser.ac.in/~smishra/teach/cs460/23cs460/lectures/lec17.pdf">Group17</a>
</td>
</tr>
<tr>
<td>30</td>
<td>Unsupervised Learning - Dimensionality reduction tSNE</td>
</td>
</tr>
<tr>
<td>31</td>
<td>Bias and Variance</td>
<td rowspan="2"><a href="https://www.niser.ac.in/~smishra/teach/cs460/23cs460/lectures/lec18.pdf">Group18</a>
</td>
</tr>
<tr>
<td>32</td>
<td>Regularization</td>
</td>
</tr>
<tr>
<td rowspan="4">Week 13</td>
<td>33</td>
<td>One-class classification and Multiclass classification</td>
<td rowspan="2"><a href="https://www.niser.ac.in/~smishra/teach/cs460/23cs460/lectures/lec19.pdf">Group19</a>
</td>
</tr>
<tr>
<td>34</td>
<td>Multilabel classification</td>
</td>
</tr>
<tr>
<td>35</td>
<td>Ensemble Learning - Bagging</td>
<td rowspan="2"><a href="https://www.niser.ac.in/~smishra/teach/cs460/23cs460/lectures/lec20.pdf">Group20</a>
</td>
</tr>
<tr>
<td>36</td>
<td>Ensemble Learning - Boosting</td>
</td>
</tr>
<tr>
<td rowspan="4">Week 14</td>
<td>37</td>
<td></td>
<td rowspan="2"><a href="https://www.niser.ac.in/~smishra/teach/cs460/23cs460/lectures/lec21.pdf">Group21</a>
</td>
</tr>
<tr>
<td>38</td>
<td></td>
</td>
</tr>
<tr>
<td>39</td>
<td></td>
<td><a href="https://www.niser.ac.in/~smishra/teach/cs460/23cs460/lectures/lec22.pdf">Group22</a>
</td>
</tr>
<tr>
<td>40</td>
<td></td>
<td><a href="https://www.niser.ac.in/~smishra/teach/cs460/23cs460/lectures/lec23.pdf">Group23</a>
</td>
</tr>
<tr>
<td rowspan="1">Week 15,16 (Apr 10 - Apr 21)</td>
<td></td>
<td>Project Final Presentations</td>
<td></td>
</tr>
<!-- <tr>
<td rowspan="4">Week 3</td>
<td>9</td>
<td>Supervised Learning - How it works?</td>
</tr>
<tr>
<td>10</td>
<td>How are ML algorithms different? </td>
</tr>
<tr>
<td>11</td>
<td>Linear Regression</td>
</tr>
<tr>
<td>12</td>
<td>Linear Regression and Gradient Descent</td>
</tr>
<tr>
<td rowspan="4">Week 4</td>
<td>13</td>
<td>Mathematics for ML (Exercises)</td>
</tr>
<tr>
<td>14</td>
<td>Ananconda and Numpy (Tutorial)</td>
</tr>
<tr>
<td>15</td>
<td>Scikit Learn Linear Regression (Tutorial)</td>
</tr>
<tr>
<td>16</td>
<td>Linear Regression with Gradient Descent</td>
</tr>
<tr>
<td>Week 5 (Sept 6 - Sept 10)</td>
<td>NA</td>
<td>Project Proposal Presentations</td>
</tr>
<tr>
<td rowspan="4">Week 6</td>
<td>17</td>
<td>Logistic Regression</td>
</tr>
<tr>
<td>18</td>
<td>Unsupervised algorithm - kMeans Clustering</td>
</tr>
<tr>
<td>19</td>
<td>Unsupervised algorithm - DBSCAN Clustering</td>
</tr>
<tr>
<td>20</td>
<td>Clustering (Tutorial)</td>
</tr>
<tr>
<td rowspan="4">Week 7</td>
<td>21</td>
<td>kNN</td>
</tr>
<tr>
<td>22</td>
<td>Decision Trees - Classification</td>
</tr>
<tr>
<td>23</td>
<td>Decision Trees - Regression</td>
</tr>
<tr>
<td>24</td>
<td>Decision Tree (Tutorial)</td>
</tr>
<tr>
<td >Week 7 (Sept 20 - Sept 24)</td>
<td>NA</td>
<td>Project Proposal Presentations</td>
<tr>
<td>Week 8, 9 </td>
<td></td>
<td>Midterm</td>
</tr>
<tr>
<td>Week 10 (Oct 11 - Oct 15)</td>
<td>NA</td>
<td>Project Midway Presentations</td>
</tr>
<tr>
<td rowspan="4">Week 11</td>
<td>25</td>
<td>Support Vector Machine</td>
</tr>
<tr>
<td>26</td>
<td>Support Vector Machine - Kernels</td>
</tr>
<tr>
<td>27</td>
<td>Feature Engineering</td>
</tr>
<tr>
<td>28</td>
<td>Bias-Variance Tradeoff, Regularization</td>
</tr>
<tr>
<td rowspan="4">Week 12</td>
<td>29</td>
<td>Model Assessment</td>
</tr>
<tr>
<td>30</td>
<td>Perceptron (Convergence)</td>
</tr>
<tr>
<td>31</td>
<td>Perceptron Implementation</td>
</tr>
<tr>
<td>32</td>
<td>Multi-Layer Perceptron</td>
</tr>
<tr>
<td>Week 13, 14 (Nov 1 - Nov 12)</td>
<td>NA</td>
<td>Project Final Presentations</td>
</tr>
<tr>
<td rowspan="3">Week 15</td>
<td>33</td>
<td>Ensemble Method - Bagging</td>
</tr>
<tr>
<td>34</td>
<td>Ensemble Method - Boosting</td>
</tr>
<tr>
<td>35</td>
<td>Unsupervised - Dimensionality Reduction PCA</td>
</tr>
<tr>
<td>Week 16</td>
<td>NA</td>
<td>End Term</td>
</tr> -->
</tbody>
</table>
<hr />
<h3>Assignments</h3>
<ul>
<li>[05] Assign 1: Lecture Note Slides </li>
<ul>
<li>Same as project group, <a
href="https://www.overleaf.com/latex/templates/elegant-slides/yfqyhpprvdmg">Overleaf</a>
template </li>
<li>Cover the content of the class </li>
<li>Add additional examples and sample codes</li>
<li>Follow the github clone and pull request to update your slides (similar to project submissions)</li>
<li>Update: 20 Jan 2023 - Upload both .pdf as well as .zip containing the source for your slides.</li>
</ul>
<li>[05] </li>
</ul>
<hr />
<!--
<h3>Project</h3>
<hr /> -->
<h3>Project</h3>
A group of 2. Class project must be something new that you did in this semester. Two types of projects are
allowed:
<ul>
<li> Category - 1: You pick/create an interesting (new) dataset, apply best suited one or more well known
machine
learning algorithms as baselines and extend these baselines in your creative and interesting way. </li>
<li> Category - 2: A theoretical project should look at an open question, definite it concretely, look at
the literature, design and develop creative and interesting attempts.</li>
</ul>
Deliverables for reports will be in LaTeX generated pdf. Format should follow <a
href="https://neurips.cc/Conferences/2022/PaperInformation/StyleFiles">NeurIPS template</a>.
Updates:
<ol>
<li>25 Jan, 2023 - You need to run a plagiarism check for all the reports to submit and share the result as well. </li>
<li>02 Feb, 2023 - The codes and dataset will be shared over github (private repo is fine if the work is to be published.) </li>
</ol>
<ol>
<li>[05] (Max. 2 slides) Project Proposal - 5 mins</li>
<ul>
<li>Title, dataset, idea, relevant papers, teammate with work division, what to do by Midway, what
baselines to implement, what are the expected results</li>
</ul>
<li>[10] (Max. 10 slides) Project Midway - 15 mins + 5 mins Q&A, Midterm Report - Max Limit 4 pages</li>
<ul>
<li>Insightful analysis of 2-3 related papers.</li>
<li>Experiments you have done along with results.</li>
</ul>
<li>[15] (Max. 15 slides) Final Project Presentation - 20 mins + 10 mins for Q&A, Endterm Report - Max Limit 8 pages</li>
<ul>
<li>Review</li>
<li>New and interesting attempts to solve the problem</li>
<li>Plan for further work for submission</li>
</ul>
<li>[10] Paper Submission
<ul>
<li>[5] Average conference</li> OR
<li>[10] Top conference - <a
href="https://aideadlin.es/?sub=ML,CV,CG,NLP,RO,SP,DM,AP,KR">Deadlines</a></li>
</ul>
Conference/Journal list: The final selection of the conference will be in coordination with the
instructor.
</ol>
Submission guidelines:
<ul>
<li>Clone <a href="https://github.com/smlab-niser/23cs460">GitHub</a></li>
<li>index.html</li>
<ul>
<li>If this is the first time, create a new row in the table, add your members, project title and
initialize the groups slides and reports.</li>
<li>You will add/update the links associated with your group.</li>
</ul>
<li>Projects folder</li>
<ul>
<li>If this is the first time, create a new folder under projects folder</li>
<li>Add/update your files in that folder only. Do not make any changes other than your group/individual
folder</li>
</ul>
<li>Create a pull request after the changes are done</li>
</ul>
<table>
<thead>
<tr>
<th>#</th>
<th>Team Members</th>
<th>Title</th>
<th>Proposal</th>
<th>Midterm</th>
<th>Final</th>
<th>Paper</th>
</tr>
</thead>
<tbody>
<tr>
<td rowspan="2">1</td>
<td>Sagar Prakash Barad</td>
<td rowspan="2">Estimation of Electronic Band Gap Energy Using Machine Learning</td>
<td rowspan="1"><a href="./projects/group1/proposal_group1.pdf">Slide</a></td>
<td rowspan="1"><a href="./projects/group1/midterm_presentation_group1.pdf">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
</tr>
<tr>
<td>Sajag Kumar</td>
<td rowspan="1">---
</td>
<td rowspan="1"><a href="./projects/group1/report_group1.pdf">Report</a>
</td>
<td rowspan="1"><a href="#">Report</a>
</td>
<td rowspan="1"><a href="#">Report</a>
</td>
</tr>
</tbody>
<tbody>
<tr>
<td rowspan="2">2</td>
<td>Aritra Mukhopadhyay</td>
<td rowspan="2">Improvement on the Quaternion-based models: extension to larger datasets and Batch Normalization</td>
<td rowspan="1"><a href="./projects/group2/proposal.pdf">Slide</a></td>
<td rowspan="1"><a href="./projects/group2/mid_slide.pdf">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
</tr>
<tr>
<td>Adhilsha A</td>
<td rowspan="1">---</td>
<td rowspan="1"><a href="./projects/group2/mid_report.pdf">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
</tr>
</tbody>
<tbody>
<tr>
<td rowspan="2">3</td>
<td>Aniket Nath</td>
<td rowspan="2">Using Self-supervised pre-trained model fine-tuned with Active Learning algorithm to
find Dual Active Galactic Nuclei in SDSS Dataset.</td>
<td rowspan="1"><a href="./projects/group3/Detection of Dual Active Galactic Nuclei using Self-Supervised.pptx.pdf">Slide</a></td>
<td rowspan="1"><a href="./projects/group3/SSALD.pdf">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
</tr>
<tr>
<td>Diptarko Choudhury</td>
<td rowspan="1">---</td>
<td rowspan="1"><a href="./projects/group3/midway.pdf">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
</tr>
</tbody>
<tbody>
<tr>
<td rowspan="2">4</td>
<td>Debashish Paik</td>
<td rowspan="2">Analysis of Economy using nighttime light data</td>
<td rowspan="1"><a
href="./projects/group4/Project_Proposal.pdf">Slide</a>
</td>
<td rowspan="1"><a href="./projects/group4/midterm_report.pdf">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
</tr>
<tr>
<td>Rohan Naskar</td>
<td rowspan="1">---</td>
<td rowspan="1"><a href="./projects/group4/report_nips.pdf">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
</tr>
</tbody>
<tbody>
<tr>
<td rowspan="2">5</td>
<td>Dev Shrivastva</td>
<td rowspan="2">Detection of Retinal Diseases</td>
<td rowspan="1"><a href="./projects/group5/Project_Proposal.pdf">Slide</a>
</td>
<td rowspan="1"><a href="#">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
</tr>
<tr>
<td>Shubhanshu Prasad</td>
<td rowspan="1">---</td>
<td rowspan="1"><a href="#">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
</tr>
</tbody>
<tbody>
<tr>
<td rowspan="2">6</td>
<td>Priyanshu Parida</td>
<td rowspan="2">Differentiation of Neutron and Gamma Response for EJ-301 Detector at low energy</td>
<td rowspan="1"><a
href="./projects/group6/Group6_Proposal.pdf">Slide</a>
</td>
<td rowspan="1"><a href="./projects/group6/Group6_MidTermSlides.pdf">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
</tr>
<tr>
<td>Nehal Khosla</td>
<td rowspan="1">---</td>
<td rowspan="1"><a href="./projects/group6/Group6_MidTermReport.pdf">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
</tr>
</tbody>
<tbody>
<tr>
<td rowspan="2">7</td>
<td>Arshia Anjum</td>
<td rowspan="2">Infer accreted mass fractions of central galaxies
</td>
<td rowspan="1"><a
href="./projects/group7/Project_Proposal-1.pdf">Slide</a>
</td>
<td rowspan="1"><a href="./projects/group7/ML_Midsem-slide.pdf">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
</tr>
<tr>
<td>Sibabrata Biswal</td>
<td rowspan="1">---</td>
<td rowspan="1"><a href="./projects/group7/ML_Midway_Report.pdf">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
</tr>
</tbody>
<tbody>
<tr>
<td rowspan="2">8</td>
<td>Dibya Bharati Pradhan</td>
<td rowspan="2">Exoplanetary surface composition prediction using ML</td>
<td rowspan="1"><a href="./projects/group8/ML_Proposal_Dibya_Oommen.pdf">Slide</a></td>
<td rowspan="1"><a href="./projects/group8/Midway_presentation.pdf">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
</tr>
<tr>
<td>Oommen P Jose</td>
<td rowspan="1">---</td>
<td rowspan="1"><a href="./projects/group8/ML_midway_report.pdf">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
</tr>
</tbody>
<tbody>
<tr>
<td rowspan="2">9</td>
<td>Ayush Singhal</td>
<td rowspan="2">Analysing Exoplanetary Atmospheres using ML</td>
<td rowspan="1"><a href="projects/group9/Proposal_group9.pdf">Slide</a></td>
<td rowspan="1"><a href="projects/group9/ML project midterm_slides.pdf">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
</tr>
<tr>
<td>Gaurav Shukla</td>
<td rowspan="1">---</td>
<td rowspan="1"><a href="projects/group9/ML_midterm_report_group9.pdf">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
</tr>
</tbody>
<tbody>
<tr>
<td rowspan="2">10</td>
<td>Akankshya Nayak</td>
<td rowspan="2">Expressivity of geometric GNN</td>
<td rowspan="1"><a href="#">Slide</a></td>
<td rowspan="1"><a href="./projects/group10/Group_10_Midway_Slides.pdf">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
</tr>
<tr>
<td>Soumya Dasgupta</td>
<td rowspan="1">---</td>
<td rowspan="1"><a href="./projects/group10/Group10_ML_Midway_Report.pd">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
</tr>
</tbody>
<tbody>
<tr>
<td rowspan="2">11</td>
<td> Chandan Kumar Sahu </td>
<td rowspan="2">Studying the interior evolution of rocky exoplanets using machine learning</td>
<td rowspan="1"><a href="projects/group11/proposal.pdf">Slide</a></td>
<td rowspan="1"><a href="projects/group11/ML midterm presentation.pdf">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
</tr>
<tr>
<td> Maitrey Sharma </td>
<td rowspan="1">---</td>
<td rowspan="1"><a href="projects/group11/Exoplanet_Interior_Evolution_using_Machine_Learning.pdf">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
</tr>
</tbody>
<tbody>
<tr>
<td rowspan="2">12</td>
<td> Anna Binoy </td>
<td rowspan="2">Application of ML in Predicting Gaseous
Properties of Earth's Atmosphere</td>
<td rowspan="1"><a href="projects/group12/ML_Proposal_.pdf">Slide</a></td>
<td rowspan="1"><a href="projects/group12/Midway_Presentation.pdf">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
</tr>
<tr>
<td>Sumegha M.T.</td>
<td rowspan="1">---</td>
<td rowspan="1"><a href="projects/group12/Report_Midway.pdf">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
</tr>
</tbody>
<tbody>
<tr>
<td rowspan="2">13</td>
<td>Rahul Vishwakarma </td>
<td rowspan="2">Indoor localization using WiFi RSSI fingerprinting</td>
<td rowspan="1"><a href="projects/group13/proposal_slide.pdf">Slide</a></td>
<td rowspan="1"><a href="projects/group13/midway_slides.pdf">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
</tr>
<tr>
<td>Jyotish Kumar J.</td>
<td rowspan="1">---</td>
<td rowspan="1"><a href="projects/group13/midway_report.pdf">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
</tr>
</tbody>
<tbody>
<tr>
<td rowspan="2">14</td>
<td> Arpan Maity </td>
<td rowspan="2">Gradient Boosted Decision Trees and their application in improvising identification
of decay of Higgs Bosons into pair of electrons</td>
<td rowspan="1"><a href="projects/Group14/Proposal.pdf">Slide</a></td>
<td rowspan="1"><a href="projects/Group14/Mid_term_Presentation.pdf">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
</tr>
<tr>
<td> Krishna Kant Parida </td>
<td rowspan="1">---</td>
<td rowspan="1"><a href="projects/Group14/mid_term_project_report.pdf">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
</tr>
</tbody>
<tbody>
<tr>
<td rowspan="2">15</td>
<td> Anuleho </td>
<td rowspan="2">Using Federated Transfer Learning to correlate sleeping health to digital wellbeing</td>
<td rowspan="1"><a href="projects/group15/proposal.pdf">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
</tr>
<tr>
<td> Abhijit </td>
<td rowspan="1">---</td>
<td rowspan="1"><a href="#">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
</tr>
</tbody>
<tbody>
<tr>
<td rowspan="2">16</td>
<td> Ratul Das </td>
<td rowspan="2">Shot estimation in Tennis</td>
<td rowspan="1"><a href="projects/group16/Project_Proposal.pdf">Slide</a></td>
<td rowspan="1"><a href="projects/group16/Midsem_slides.pdf">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
</tr>
<tr>
<td>Mihir Chandra</td>
<td rowspan="1">---</td>
<td rowspan="1"><a href="projects/group16/Midsem_report.pdf">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
</tr>
</tbody>
<tbody>
<tr>
<td rowspan="2">17</td>
<td>Ritadip Bharati</td>
<td rowspan="2">ML in Fashion</td>
<td rowspan="1"><a
href="projects/group17/ProjectProposal.pdf">Slide</a>
</td>
<td rowspan="1"><a href="projects/group17/midsemslides.pdf">Slide</a>
</td>
<td rowspan="1"><a href="#">Slide</a>
</td>
<td rowspan="1"><a href="#">Slide</a>
</td>
</tr>
<tr>
<td>Sudip Kumar Kar</td>
<td rowspan="1">---
</td>
<td rowspan="1"><a href="projects/group17/midsemreport.pdf">Report</a>
</td>
<td rowspan="1"><a href="#">Report</a>
</td>
<td rowspan="1"><a href="#">Report</a>
</td>
</tr>
</tbody>
<tbody>
<tr>
<td rowspan="2">18</td>
<td>Krishanu Kanta </td>
<td rowspan="2">Analysing Seismic data of Palghar using ML.</td>
<td rowspan="1"><a
href="projects/group18/proposal_group18.pdf">Slide</a>
</td>
<td rowspan="1"><a href="#">Slide</a>
</td>
<td rowspan="1"><a href="#">Slide</a>
</td>
<td rowspan="1"><a href="#">Slide</a>
</td>
</tr>
<tr>
<td>Sagnik Rout</td>
<td rowspan="1">---
</td>
<td rowspan="1"><a href="#">Report</a>
</td>
<td rowspan="1"><a href="#">Report</a>
</td>
<td rowspan="1"><a href="#">Report</a>
</td>
</tr>
</tbody>
<tbody>
<tr>
<td rowspan="2">19</td>
<td> Sunaina </td>
<td rowspan="2">Predicting breeding sites of Desert Locust through environmental parameters</td>
<td rowspan="1"><a
href="projects/group19/ML-proposal-group19.pdf">Slide</a>
</td>
<td rowspan="1"><a
href="projects/group19/midway-ppt.pdf">Slide</a>
</td>
<td rowspan="1"><a href="#">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
</tr>
<tr>
<td>Bibhu</td>
<td rowspan="1">---</td>
<td rowspan="1"><a href="projects/group19/midterm_report.pdf">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
</tr>
</tbody>
<tbody>
<tr>
<td rowspan="2">20</td>
<td> Fida Salim </td>
<td rowspan="2">Retrieving Pressure-Temperature and Water Vapour Profiles in Earth’s Atmosphere from INSAT 3DR data using Machine Learning</td>
<td rowspan="1"><a href="projects/group20/group20_project_proposal.pdf">Slide</a></td>
<td rowspan="1"><a href="projects/group20/Group20_MidSem_Slides.pdf">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
</tr>
<tr>
<td>Soumik Bhattacharyya</td>
<td rowspan="1">---</td>
<td rowspan="1"><a href="projects/group20/Group20_Midsem_Report.pdf">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
</tr>
</tbody>
<tbody>
<tr>
<td rowspan="2">21</td>
<td> Deependra Singh </td>
<td rowspan="2">Retinal Fundus Multi-Disease Image Classification</td>
<td rowspan="1"><a href="projects/group21/Proposal(1).pdf">Slide</a></td>
<td rowspan="1"><a href="projects/group21/Midway_slides.pdf">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>
</tr>
<tr>
<td>Saksham Agarwal</td>
<td rowspan="1">---</td>
<td rowspan="1"><a href="projects/group21/Midway_Report.pdf">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
<td rowspan="1"><a href="#">Report</a></td>
</tr>
</tbody>
<tbody>
<tr>
<td rowspan="2">22</td>
<td> Kaling Vikram Singh </td>
<td rowspan="2">Prediction of Lattice Structure of perovskites from physical properties using ML</td>
<td rowspan="1"><a href="projects/group22/proposal.pdf">Slide</a></td>
<td rowspan="1"><a href="projects/group22/MLmidsem.pdf">Slide</a></td>
<td rowspan="1"><a href="#">Slide</a></td>