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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.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.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.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 satisfactionPython-Practice
Some Python practice in the form of Jupyter Notebooks and .py filesPySpark-and-Pandas
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.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).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.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.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.Love Open Source and this site? Check out how you can help us