Pinned Repositories
AdaBoost
Implement boosting for the Least Squares Classifier from scratch
Classification_Implementations
Implementation of the Naive Bayes classifier, k-NN algorithm, and Logistic Regression from scratch
Gathr
Markov_Football_Ranking
Implement a Markov Chain approach to rank 760 college football teams based on the scores of every game in the 2016 season.
Movie_Recommender_Collaborative_Filtering
Implement the MAP inference algorithm for matrix completion for movie recommendations from scratch
Music_Recommender_PySpark
Used PySpark/MLlib to build a collaborative filtering based music recommender system
NASA_Server_Log_Analysis
Used Hadoop/MapReduce and Hive to analyze, explore, and answer questions about Nasa's server log files.
NYTimes_Topic_Modeling
Implement a Nonnegative Matrix Factorization approach to learn the topics of 8447 documents from the NY Times
Political_Affiliation_Predictor
Bag of words based machine learning model with custom engineered features to predict a user’s political affiliation given a single tweet
Trend_Bias
Exploring and analyzing the biases of trending topic on news and social media platforms
jgalsurkar's Repositories
jgalsurkar/Gathr
jgalsurkar/NASA_Server_Log_Analysis
Used Hadoop/MapReduce and Hive to analyze, explore, and answer questions about Nasa's server log files.
jgalsurkar/NYTimes_Topic_Modeling
Implement a Nonnegative Matrix Factorization approach to learn the topics of 8447 documents from the NY Times
jgalsurkar/Political_Affiliation_Predictor
Bag of words based machine learning model with custom engineered features to predict a user’s political affiliation given a single tweet
jgalsurkar/AdaBoost
Implement boosting for the Least Squares Classifier from scratch
jgalsurkar/Classification_Implementations
Implementation of the Naive Bayes classifier, k-NN algorithm, and Logistic Regression from scratch
jgalsurkar/Markov_Football_Ranking
Implement a Markov Chain approach to rank 760 college football teams based on the scores of every game in the 2016 season.
jgalsurkar/Movie_Recommender_Collaborative_Filtering
Implement the MAP inference algorithm for matrix completion for movie recommendations from scratch
jgalsurkar/Music_Recommender_PySpark
Used PySpark/MLlib to build a collaborative filtering based music recommender system
jgalsurkar/Trend_Bias
Exploring and analyzing the biases of trending topic on news and social media platforms
jgalsurkar/CPP_Practice_Projects
jgalsurkar/eChild
jgalsurkar/Gaussian_Process
Implement the Gaussian process model for regression from scratch
jgalsurkar/K-Means
Implementation of the unsupervised clustering algorithm, K-means, from scratch.
jgalsurkar/Neo4j_Collaborator-Model_Big-Data
jgalsurkar/RidgeRegression
Create a Ridge Regression Machine Learning model from scratch
jgalsurkar/Scala_Practice_Projects
jgalsurkar/Spark_Semantic_Similarity
jgalsurkar/ToEatOrNotToEat
Exploratory Data Analysis and Visualization of NYC Restaurant Violations from 2013 - 2017