From 94e1a5509257eede87987e252e4397f71b8516db Mon Sep 17 00:00:00 2001
From: iamanshikajain <108191569+iamanshikajain@users.noreply.github.com>
Date: Sun, 10 Jul 2022 23:32:47 +0530
Subject: [PATCH] Update README.md
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Major Project Submissions/README.md | 82 ++++++++++-------------------
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-# Major project :
-# (This can done in groups of 2 - 3 people)
-
-## Problem Statements -
-![1](https://user-images.githubusercontent.com/82227477/177264668-ce254b14-e8b7-49b7-82d7-3e307a011916.png)
-![2](https://user-images.githubusercontent.com/82227477/177264800-aa8896e5-ead8-40c6-be94-f53d1ee56aca.png)
-![3](https://user-images.githubusercontent.com/77978729/177378676-f6e85362-7201-4624-a7c5-3fc2d1ae0602.png)
-![4](https://user-images.githubusercontent.com/77978729/177378731-e05414e2-fc63-4685-8205-b17b6f7ef742.png)
-![5](https://user-images.githubusercontent.com/77978729/177378756-afa40739-45f5-4c41-9d8d-111312572fc5.png)
-![6](https://user-images.githubusercontent.com/77978729/177378792-ea048f47-3062-4e3d-bfba-ee382e315658.png)
-![7](https://user-images.githubusercontent.com/77978729/177378861-ffaeb5d2-42bd-40f2-b2cc-49f6ff3e30cc.png)
-![8](https://user-images.githubusercontent.com/77978729/177378887-090ee8f8-0d1d-469d-b6a9-3368fee2fad2.png)
-
-## Datasets
-
-Twitter Dataset: https://www.kaggle.com/datasets/kazanova/sentiment140
-Disease Burden Dataset: https://www.kaggle.com/datasets/shivkumarganesh/disease-burden-by-cause
-Gender Development Dataset: https://www.kaggle.com/datasets/elmartini/gender-development-index-2019
-Campus Placement Dataset: https://www.kaggle.com/datasets/benroshan/factors-affecting-campus-placement
-Employee Attrition Dataset: https://www.kaggle.com/datasets/patelprashant/employee-attrition
-Wine Quality Prediction Dataset: https://www.kaggle.com/datasets/yasserh/wine-quality-dataset
-Breast Cancer Prediction Dataset: https://www.kaggle.com/datasets/merishnasuwal/breast-cancer-prediction-dataset
-Iris Flower Dataset: https://www.kaggle.com/datasets/arshid/iris-flower-dataset
-Stroke Prediction Dataset: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset
-Heart Failure Prediction Dataset: https://www.kaggle.com/datasets/andrewmvd/heart-failure-clinical-data
-Company Bankruptcy Prediction Dataset: https://www.kaggle.com/datasets/fedesoriano/company-bankruptcy-prediction
-Credit Card Approval Prediction Dataset: https://www.kaggle.com/datasets/rikdifos/credit-card-approval-prediction
-Divorce Prediction Dataset: https://www.kaggle.com/datasets/andrewmvd/divorce-prediction
-Diabetes Prediction Dataset: https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database
-World Happiness Prediction Dataset: https://www.kaggle.com/datasets/unsdsn/world-happiness
-Detection of Fake News: https://www.kaggle.com/datasets/ruchi798/source-based-news-classification
-
-You can go through all the problem statements above and pick one to solve. After that follow these steps -
-1) Create a jupyter notebook or a colab notebook.
-2) Show all the calculations required and print them.
-3) The final calculation for the answer must be in a separate cell.
-4) Create a text cell to give explanations wherever you think is necessary.
-5) The visualization questions must be accompanied with an explanation as well as conclusions.
-6) **Write all the answers in point form. Answers must be to the point.**
-
-## Submission procedure:
-Follow these video for the submission.
-1. https://drive.google.com/file/d/1Brs-mx4Q9jlNVrevFZ2pVUNX5G235Tjc/view?usp=sharing
-2. https://drive.google.com/file/d/13ZgUH1u4GN8WIRlunkRLyoNmeq5r8ALf/view?usp=sharing
-
-## Pull request naming format:
- #### Name_Dataset name
- For example: Manvi Kaur_Loan Default Prediction
-
-For any doubts or queries, put them on our discord server (doubts will be entertained on the ask-oc channel only) and we'll get back to you.
-ALL THE BEST!!
-
-## SUBMIT BY 10th JULY 11:59PM SHARP
+#Major Project
+Colab Link:https://colab.research.google.com/drive/11_hSTAGAzI9n7V89kX-OmEpXtAX4KEFj?usp=sharing
+
+
+Negative r2_score is truly justified because of the biased data as somebody's 10 and 12 score cannot justify his/her salary.
+
+
+Team-3 members
+Member1- Anshika Jain
+Enrollment Number-04901022021
+Branch-ECE
+Year-First Year
+Role-Multiple Linear Regression Model,SVR Model,+Prediction, Data Processing(Feature Scaling+Removing null values),Accuracy check,Explaination
+
+Member2-Liza Singh
+Enrollment numer-05301012020
+Branch-CSE 1
+YEAR-THIRD YEAR
+Role-Decision Tree Regression , Random Forest Regression+Prediction
+
+Member3-Anusha Singh
+Enrollment Number-10701012021
+Branch-CSE 2
+YEAR-FIRST YEAR
+Role- Data Cleaning and Data Preprocessing + Graph+ Some explaination
+
+
+
+