Pinned Repositories
Time-Series-Forecast-of-Stocks
Implemented a Time Series Forecast of Stocks using various learning methods such as ARIMA,Holt-Winters and Linear Regression
Classification-and-Regression
Implementation of various machine learning techniques in classification and regression such as LDA,QDA,Ordinary Linear Regression,Ridge Regression,Ridge Regression with gradient descent and non linear regression
Classification-on-High-Dimensional-Genomic-Data
Implementation of various classification algorithms from scratch such as Naive Bayes , Neural Networks, Decision Tree(ID3) and Random Forests
MarkovClustering
Implementation of the Markov Clustering Algorithm on the At&t dataset, Physics collaborators dataset and yeast metabolic dataset
AssociationRuleMining
Implementation of the Apriori Algorithm for finding Frequent Itemsets and Association Rule Mining
ClusteringAlgorithms
Implementation of various Clustering Algorithms such as K-means,Single Link Hierarchical and DBscan on Genomic data. Visualized results with Principal Component Alanysis(PCA)
Data-Warehouse-OLAP-System
Implementation of a data warehouse on genomic data based on multiple star schemas with support for OLAP operations such as ANOVA,correlation and classification
HandwrittenDigitsClassification
Handwritten Digits Classification using Neural Networks on the MNIST dataset
HandwrittenDigitsClassification-II
This is a repository of Classification of Handwritten Digits on the MNIST dataset using Logistic Regression and Support Vector Machines
mezzanine
Mezzanine is a library built on Spark Streaming used to consume data from Kafka and store it into Hadoop.
sai-srinath's Repositories
sai-srinath/tensorframes
Tensorflow wrapper for DataFrames on Apache Spark
sai-srinath/spark-metrics
A library to expose more of Apache Spark's metrics system
sai-srinath/mezzanine
Mezzanine is a library built on Spark Streaming used to consume data from Kafka and store it into Hadoop.
sai-srinath/Classification-on-High-Dimensional-Genomic-Data
Implementation of various classification algorithms from scratch such as Naive Bayes , Neural Networks, Decision Tree(ID3) and Random Forests
sai-srinath/ClusteringAlgorithms
Implementation of various Clustering Algorithms such as K-means,Single Link Hierarchical and DBscan on Genomic data. Visualized results with Principal Component Alanysis(PCA)
sai-srinath/MarkovClustering
Implementation of the Markov Clustering Algorithm on the At&t dataset, Physics collaborators dataset and yeast metabolic dataset
sai-srinath/AssociationRuleMining
Implementation of the Apriori Algorithm for finding Frequent Itemsets and Association Rule Mining
sai-srinath/Data-Warehouse-OLAP-System
Implementation of a data warehouse on genomic data based on multiple star schemas with support for OLAP operations such as ANOVA,correlation and classification
sai-srinath/HandwrittenDigitsClassification-II
This is a repository of Classification of Handwritten Digits on the MNIST dataset using Logistic Regression and Support Vector Machines
sai-srinath/SimpleAmazonDynamo
This is a simplified version of Amazon's Dynamo Key-Value storage implemented in Android as a part of CSE 586-Distributed Systems under Prof. Steve Ko
sai-srinath/HandwrittenDigitsClassification
Handwritten Digits Classification using Neural Networks on the MNIST dataset
sai-srinath/NASDAQ-Stock-Volatility-with-HBase-and-MapReduce
sai-srinath/Time-Series-Forecast-of-Stocks
Implemented a Time Series Forecast of Stocks using various learning methods such as ARIMA,Holt-Winters and Linear Regression
sai-srinath/Classification-and-Regression
Implementation of various machine learning techniques in classification and regression such as LDA,QDA,Ordinary Linear Regression,Ridge Regression,Ridge Regression with gradient descent and non linear regression
sai-srinath/NASDAQ-Stock-Volatility-with-Hive
Calculating the stock volatility of around 3000 NASDAQ listed stocks using the Apache Hive framework
sai-srinath/NASDAQ-Stock-Volatility-with-Pig
To calculate the stock volatility of around 3000 NASDAQ listed stocks taken over a period of 3 years using the Apache Pig framework
sai-srinath/NASDAQ-Stock-Volatility-with-Hadoop-MapReduce
A repository calculating the stock volatility of around 3000 NASDAQ listed stocks taken over a period of 3 years using the Hadoop MapReduce framework and finding the top 10 stocks with least and most volatility
sai-srinath/SimpleMessenger
SimpleMessenger app on Android that sends messages between two clients
sai-srinath/newsindexer
This is a repository for a news indexer of the reuters corpus which indexes and ranks query results
sai-srinath/RSA-decryption
Code snippet demonstrating how RSA is decrypted using Java