These were some of my mini ML projects done as part of my coursework at Cornell Tech
- Titanic - Machine Learning from Disaster
- Implemented logistic regression to predict whether a passenger survived the disaster with the model.
- Link to dataset: https://www.kaggle.com/competitions/titanic
- Link to my code: https://github.com/aashiperun/Applied-Machine-Learning/blob/main/Kaggle_Titanic_Disaster.ipynb
- Natural Language Processing with Disaster Tweets'
- Performed a model comparison between Bernoulli Naive Bayes and Logistic Regression.
- Link to dataset: https://www.kaggle.com/c/nlp-getting-started
- Link to my code: https://github.com/aashiperun/Applied-Machine-Learning/blob/main/Kaggle_NLP_Disaster_Tweets.ipynb
- Eigenface for Face Recognition
- Implemented the Eigenface method for recognizing human faces.
- Dataset: Yale Dataset B
- Link to my code: https://github.com/aashiperun/Applied-Machine-Learning/blob/main/Eigen%20Face%20for%20Face%20Recognition.ipynb
- Predicting Restaurant Closures in NYC
- Analyzed the NYC Restaurant Inspection dataset to predict closures using two models, logistic regression and random forest.
- Dataset: https://data.cityofnewyork.us/Health/DOHMH-New-York-City-Restaurant-Inspection-Results/43nn-pn8j
- Link to my code: https://github.com/aashiperun/Applied-Machine-Learning/blob/main/Predicting_Restaurant_Closures_nyc.ipynb