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Chetan Gupta's Projects

bush-vs-williams-using-multiple-classification-and-regression-models icon bush-vs-williams-using-multiple-classification-and-regression-models

Train a model to classify “bush vs not bush” and “williams vs not williams” face recognition To understand performance of various classifiers for authentication using facial classification Task: Identify the dataset Understanding the data -size of the images, quality of images Feature analysis - number of features, Try out various classifiers and understand differences in performance

dive icon dive

A tool for exploring each layer in a docker image

generl-sorting-for-teragigabit-of-data icon generl-sorting-for-teragigabit-of-data

External data sort and multithreaded programming is performed on single node shared memory for two given datasets of 2 GB and 20 GB each. The purpose of the project is to sort datasets larger than the size of the memory using External Sorting Technique. The results are evaluated and then comparison is carried out with the implementation of the results of Linux sorting. This document illustrates graphically the strategy for implementing the sorting followed by merging. The document also puts forward tabular performance evaluation for the same.

promxy icon promxy

An aggregating proxy to enable HA prometheus

redis_toolkit icon redis_toolkit

Toolkit for actively monitoring, analyzing and reporting your Redis database.

sort-using-spark-and-hadoop icon sort-using-spark-and-hadoop

This project covers sort through Hadoop and Spark on multiple nodes. We have used Linux system to implement your application and used the Proton Cluster accessible at 216.47.142.37; each Hadoop group (cluster) has 4 nodes, each node having 4-cores, 8GB of memory, and 80GB of SSD storage.

time-series-analysis-on-divvy-data icon time-series-analysis-on-divvy-data

analyze/visualize Divvy Bike Trips dataset and make forecast and detect riding patterns for the morning hours, evening hours, busiest day of the week, busiest month of the year, etc.

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