https://github.com/girishp92/supervised-learning-with-heterogenous-data-using-random-forest-algorithm
This was a group project where we are comparing the effectiveness of supervised learning using various multivariate data sets and i was involved doing so using Random Forest Model. I implemented the feature importance of various predictor variables and how it effects the error rate(RMSE). I used the Student Performance Dataset to show the importance of various predictor variables. I implemented it in Python using various libraries like Numpy, Scipy, Scikit-learn, pandas, matplotlib and seaborn packages for plotting the figures.
https://github.com/girishp92/supervised-learning-with-heterogenous-data-using-random-forest-algorithm
machine-learning-algorithms project python randomforest umassdartmouth
Last synced: 7 months ago
JSON representation
This was a group project where we are comparing the effectiveness of supervised learning using various multivariate data sets and i was involved doing so using Random Forest Model. I implemented the feature importance of various predictor variables and how it effects the error rate(RMSE). I used the Student Performance Dataset to show the importance of various predictor variables. I implemented it in Python using various libraries like Numpy, Scipy, Scikit-learn, pandas, matplotlib and seaborn packages for plotting the figures.
- Host: GitHub
- URL: https://github.com/girishp92/supervised-learning-with-heterogenous-data-using-random-forest-algorithm
- Owner: girishp92
- Created: 2017-05-17T19:52:21.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-05-17T20:16:43.000Z (over 8 years ago)
- Last Synced: 2025-01-12T19:17:46.817Z (9 months ago)
- Topics: machine-learning-algorithms, project, python, randomforest, umassdartmouth
- Language: Python
- Homepage:
- Size: 1.3 MB
- Stars: 2
- Watchers: 2
- Forks: 1
- Open Issues: 0