Surya Murali (Surya-Murali)

Surya-Murali

Geek Repo

Company:@ATT

Location:San Francisco Bay Area

Home Page:https://www.linkedin.com/in/surya25/

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Surya Murali's repositories

Real-Time-Object-Detection-With-OpenCV

This project aims to do real-time object detection through a laptop cam using OpenCV. The idea is to loop over each frame of the video stream, detect objects, and bound each detection in a box.

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Web-Scraping-and-Amazon-Reviews-Analysis

A Web Scraping project to analyze product reviews in Amazon.com. A sentiment analysis is done and the reviews are sorted and highlighted in green or red based on the sentiment score.

Email-Spam-Classifier-Using-Naive-Bayes

A Naive Bayes spam/ham classifier based on Bayes' Theorem. A bunch of emails is first used to train the classifier and then a previously unseen record is fed to predict the output.

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Sentiment-Analysis-of-Twitter-Data-by-Lexicon-Approach

This project uses Lexicon-based approach for sentimental analysis of 1000 recent tweets of 4 countries. A sentiment score for each tweet is computed to ascertain the overall nature of the tweet.

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Human-Resource-Analytics-in-R

A Human Resource Analytics project that addresses the question "Why do employees leave?". Also helps us better understand factors for employee satisfaction

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Clustering-Using-KMeans

This project uses K-means algorithm to partition a set of points into K clusters. The algorithm works iteratively to assign each data point to one of K groups based on the features provided.

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Deep-Learning-With-PyTorch

Deep-Learning-With-PyTorch

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IMDB-Data-Analysis-Using-Spark

Data Analysis of IMDB data using Spark. Movie recommendations are made to users based on the other movies that the user has watched.

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Maps-Weather-Distance-Calculator

An XML project in C# to calculate the distance between people by getting their latitude and longitude positions using Google web services (SOAP & REST).

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Patient-Classification-Using-Support-Vector-Machines

Predicting whether a patient is normal or abnormal using SVM. Linear and RBF kernels are used to build the classifier model. Different 'C' and 'gamma' values are chosen to tune the model.

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Python-Practice

Some Python practice in the form of Jupyter Notebooks and .py files

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Twitter-Data-Scrapping-and-Wordclouds-of-a-Trending-Topic

A Twitter data mining project to quickly get an overall idea about the tweets of a trending topic. The findings are represented in the form of Wordclouds and dendrograms.

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Big-Data-Analytics-Using-Pig-and-MapReduce

BigData analytics of an IMDB dataset using Pig and MapReduce. The movies are sorted and filtered based on their ratings.

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Data-Manipulations-in-R

Some R commands that might be handy for data manipulations and exploratory data analysis.

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flower-image-classifier-pytorch-torchvision

This repository contains the code for building an image classifier that can identify different species of flowers. This was build on pytorch deep learning framework and using python. This project was completed as part of AI Programming with Python Nanodegree program (Udacity).

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Halloween-Trick-Or-Treat-Data-Visualization-Using-Tableau

A dashboard summarizing the Halloween stats for the last 7 years created using Tableau

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