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amazon_product_review_similarity

Performed similarity analysis using PySpark based on given positive and negative reviews. Reviews are first divided in Negative(<3 rating) and Positive(>3 rating) categories based on given ratings. Google Pre-trained universal sentence encoder and Tf-Idf in Spark algorithms are implemented to find Intra class similarity for Positive and Negative reviews and to find class center sentence for each positive and negative category.

amazon_product_statistical_analysis

Statistical Analysis using PySpark of products on Amazon including total reviews given in a catagory, total number of unique users and products, top 10 users having most reviews, and median number of reviews published by users.

histogram

Program to convert a color image into grayscale using grayscale conversion or grayscale luminosity formula based on preference. Histogram is created for a grayscale image to analyse the intensity level at each pixel. Histogram is then equalised using Cumulative Equalised Function to equalise the level of intensity at each pixel. It helps to get enhanced contrast and uniform histogram. The application is useful for analysing scientific images like thermal, satellite or x-ray images where contrast plays a vital role in studying images of objects.

machine_learning_examples

A collection of machine learning examples and tutorials.

machinelearning_knn

machinelearning_logistic_regression

Logistic Regression (LR) code to analyze and identify and categorize given set of MNIST fashion images. LR algorithm using SVD for dimension reduction is coded without using external library.

machinelearningalgocomparison

mongdb_analytical_query_stackexchange

MongoDB simple and analytical queries.

property-price-to-sell

twin-strings

youtube_controversial_trending_videos-

Analyzing given youtube data set to find contoversial videos of a given category in a particular country by increase in dislikes than likes over some time period.

youtube_trending_video_analysis

MapReduce Computation to analyze given Youtube data set for top trending category and correlation between trending videos and Geological location

zombiecrawl

Solving the challenge for a zombie crawling in a grid and biting up poor creatures and converting them into zombies itself. Calculating the total score and final position of all the zombies.