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https://github.com/srinivasrm/mutual-funds-analysis-and-prediction
In this project I have performed analysis and prediction on 1,3,and 5 year returns on 1064 mutual funds in India. I have scraped data from a website which is the most visited website for mutual fund investments.I have tested regression models linear model,SGD Regressor , Random Forest Regressor,Decision Tree Regressor,Ridge,MLP Regressor and linear model (Lasso).After which I have selected the best perorming model and performed Hyper parameter tuning and then deployed an interactive application which can generate the visualization and send an email with the visualization to the users email address.
https://github.com/srinivasrm/mutual-funds-analysis-and-prediction
beautifulsoup data-analysis data-base data-cleaning data-science deployment etl finanace frontend funds machine-learning mutual mutual-funds pgsql python scikit-learn sql streamlit web webapplication
Last synced: 3 months ago
JSON representation
In this project I have performed analysis and prediction on 1,3,and 5 year returns on 1064 mutual funds in India. I have scraped data from a website which is the most visited website for mutual fund investments.I have tested regression models linear model,SGD Regressor , Random Forest Regressor,Decision Tree Regressor,Ridge,MLP Regressor and linear model (Lasso).After which I have selected the best perorming model and performed Hyper parameter tuning and then deployed an interactive application which can generate the visualization and send an email with the visualization to the users email address.
- Host: GitHub
- URL: https://github.com/srinivasrm/mutual-funds-analysis-and-prediction
- Owner: srinivasRM
- Created: 2022-07-24T06:40:19.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-07-25T11:18:45.000Z (over 2 years ago)
- Last Synced: 2024-09-28T18:21:36.310Z (4 months ago)
- Topics: beautifulsoup, data-analysis, data-base, data-cleaning, data-science, deployment, etl, finanace, frontend, funds, machine-learning, mutual, mutual-funds, pgsql, python, scikit-learn, sql, streamlit, web, webapplication
- Language: Jupyter Notebook
- Homepage:
- Size: 7.01 MB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0