Projects
Spam Ham Predictor
Predicting whether an e-mail is ham or spam using scikit-learn library in python. Preprocessing of text was done using nltk library. Using the naive-bayes classifier ,97% precision was achieved. The app is deployed using flask on heroku.
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Co-Location Pattern Mining in Apache Spark
Implementing the join-less approach for co-location pattern mining in Apache Spark and compare the results on real and synthetic datasets. The project aims to find association rules and co-locations in spatial domain using spatial data mining.
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Terrorist Attack Prediction and Analysis
The project implements terrorist attack prediction and cluster analysis of terrorist attacks using ML library in Apache-Spark. Hadoop’s map reduce based implementation was used to produce the total number of attacks in a particular region.
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Weather App
A web application made in React-JS which uses weather api and Google places API to graphically present the variation in weather conditions in the city or region entered by the user around the globe.
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Goal Prediction
Predicting the probability of Cristiano Ronaldo scoring a goal based on the attempted shots data using machine learning models and data visualization.
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Chain Reaction
The game Chain reaction as a desktop app using JAVA-FX and Swing, which included a basic AI using probability and randomness. The game could be played for 1-8 players.
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Uefa Champions League
Given the tems participating in the UCL, provide with random 8 groups of 4 with winner of each league at the top of the group .
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