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Major Project_Factors Affecting Campus Placement_Anshika Jain_Anusha Singh_Liza Singh #314

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82 changes: 29 additions & 53 deletions Major Project Submissions/README.md
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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)<br>
![2](https://user-images.githubusercontent.com/82227477/177264800-aa8896e5-ead8-40c6-be94-f53d1ee56aca.png)<br>
![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 <br>

Twitter Dataset: https://www.kaggle.com/datasets/kazanova/sentiment140 <br>
Disease Burden Dataset: https://www.kaggle.com/datasets/shivkumarganesh/disease-burden-by-cause <br>
Gender Development Dataset: https://www.kaggle.com/datasets/elmartini/gender-development-index-2019 <br>
Campus Placement Dataset: https://www.kaggle.com/datasets/benroshan/factors-affecting-campus-placement <br>
Employee Attrition Dataset: https://www.kaggle.com/datasets/patelprashant/employee-attrition <br>
Wine Quality Prediction Dataset: https://www.kaggle.com/datasets/yasserh/wine-quality-dataset <br>
Breast Cancer Prediction Dataset: https://www.kaggle.com/datasets/merishnasuwal/breast-cancer-prediction-dataset <br>
Iris Flower Dataset: https://www.kaggle.com/datasets/arshid/iris-flower-dataset <br>
Stroke Prediction Dataset: https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset <br>
Heart Failure Prediction Dataset: https://www.kaggle.com/datasets/andrewmvd/heart-failure-clinical-data <br>
Company Bankruptcy Prediction Dataset: https://www.kaggle.com/datasets/fedesoriano/company-bankruptcy-prediction <br>
Credit Card Approval Prediction Dataset: https://www.kaggle.com/datasets/rikdifos/credit-card-approval-prediction <br>
Divorce Prediction Dataset: https://www.kaggle.com/datasets/andrewmvd/divorce-prediction <br>
Diabetes Prediction Dataset: https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database <br>
World Happiness Prediction Dataset: https://www.kaggle.com/datasets/unsdsn/world-happiness <br>
Detection of Fake News: https://www.kaggle.com/datasets/ruchi798/source-based-news-classification <br>

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. <br>
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 <br>
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