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https://github.com/debjyotisaha/web-application-projects
Web Applications developed with the help Python libraries and ML algorithms
https://github.com/debjyotisaha/web-application-projects
algorithms cufflinks machine-learning matplotlib numpy pandas prediction python scikit-learn seaborn sklearn streamlit
Last synced: 29 days ago
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Web Applications developed with the help Python libraries and ML algorithms
- Host: GitHub
- URL: https://github.com/debjyotisaha/web-application-projects
- Owner: DebjyotiSaha
- Created: 2021-04-30T09:09:41.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2024-11-20T06:44:48.000Z (about 2 months ago)
- Last Synced: 2024-11-20T07:35:43.103Z (about 2 months ago)
- Topics: algorithms, cufflinks, machine-learning, matplotlib, numpy, pandas, prediction, python, scikit-learn, seaborn, sklearn, streamlit
- Language: Jupyter Notebook
- Homepage:
- Size: 499 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Web Application Projects
This repository contains a collection of web-based applications built using Python libraries. Each project demonstrates practical implementations of data science and machine learning concepts, presented through interactive web applications.
## Projects
1. **AutoML Algorithm App**: An automated machine learning algorithm that helps to build predictive models without manual intervention.
2. **Bio-Informatics App**: A tool for analyzing biological data and making predictions related to genetics and health.
3. **DNA Nucleotide App**: A web app for analyzing DNA sequences and computing nucleotide distributions.
4. **Hepatitis Mortality Predictor**: A predictive model for estimating mortality risk based on hepatitis patient data.
5. **Iris Flower Prediction**: A classification model that predicts iris species based on flower measurements.
6. **Stock Price App**: A web app that predicts stock prices using historical data.
7. **Analyze Classifier Dataset**: A tool for visualizing and analyzing classification datasets.
8. **Diabetes Prediction**: A web app that predicts the likelihood of diabetes based on user input.
9. **Drug Discovery**: An app that helps predict effective drug candidates based on molecular data.
10. **Forest Fire Prediction**: A model for predicting the likelihood of forest fires based on environmental data.
11. **Stock Price Web App-2**: An enhanced version of the stock price prediction app.
## Libraries Used
- Numpy
- Pandas
- Streamlit
- Cufflinks
- sklearn
- Seaborn
- Matplotlib
- Matplotlib.pyplot
## Setup
Before running the projects, ensure you have the required libraries installed on your system. You can install them using:
```bash
pip install numpy pandas streamlit cufflinks sklearn seaborn matplotlib
```
## How to Run
1. Clone the repository:
```bash
git clone https://github.com/DebjyotiSaha/Web-Application-Projects.git
```
2. Navigate to the project directory.
3. Launch the app using Streamlit:
```bash
streamlit run app_name.py
```
## Contribution
Feel free to fork this repository and contribute by submitting pull requests for improvements or additional features.