- Applied several Regression as well as Classification algorithms on a Twitter buzz dataset.
- Developed GLM, Ridge, Lasso, SGD, SVM, KNN Regression models to find the best model to predict the Twitter Buzz.
- Applied Bagging, AdaBoost & Gradient boosting models.
- Used PCA to reduce features on this data which had 75+ features.
Project for the course Machine Learning
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SurajMalpani/Twitter-Buzz-prediction
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