https://github.com/anu-gtb/campus-placement
https://github.com/anu-gtb/campus-placement
campus-placement cassandra-database data-science jupyter-notebook logistic-regression machine-learning prediction-model streamlit webapp
Last synced: over 1 year ago
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- Host: GitHub
- URL: https://github.com/anu-gtb/campus-placement
- Owner: anu-gtb
- Created: 2024-07-07T11:26:56.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-11-08T16:27:10.000Z (over 1 year ago)
- Last Synced: 2025-01-22T02:30:07.067Z (over 1 year ago)
- Topics: campus-placement, cassandra-database, data-science, jupyter-notebook, logistic-regression, machine-learning, prediction-model, streamlit, webapp
- Language: Jupyter Notebook
- Homepage: https://campus-placement-rea9jkscbliwefrgvubqwc.streamlit.app
- Size: 395 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Campus-Placement
This is a Machine Learning-based prediction project in which the task is to predict whether a student may get placed or not on the basis of different academic factors.
Steps involved in implementation of this project are -:
1. Exploratory Data Analysis(EDA)
2. Data Preprocessing and Feature Extraction
3. Data Visualization
5. Model Training
6. Evaluation
7. API development
8. Deployment
Tools and Technologies used -:
1. Cassandra Database - For dataset
The dataset contains a total of 215 non-null rows and 15 columns.
2. Pandas - EDA
3. Scikit-Learn, Scipy and StatsModels - Data Preprocessing and Feature Extraction
4. Matplotlib and Seaborn - Data Visualization
5. Logistic Regression - Final model training(best model chosen)
6. Scikit-Learn Metrics - Evaluation
7. Streamlit - For User Interface development
8. Streamlit Cloud - Deployment
Database Link -: https://astra.datastax.com/org/0dd23226-b7a5-45db-9a1d-73ce17d26290/database/a5524767-c3d6-41f9-a8af-ff6043cfd45e/data-explorer

On clicking submit button at bottom,

We get the output as Placed/Not Placed -:
