tanaymukherjee Goto Github PK

findjakes.com

This android app is developed to help you locate the nearby public toilets and the direction to reach. This will also help Govt. to keep a track of all the public toilets as regular feedback will be generated from random citizens who in turn will guide the local Municipality to improve any infrastructure problem identified and keep the toilets clean. Also, the motive of building public toilets will be fulfilled. Additionally, for women this will be an added advantage as they can now know where the public toilets are, and use them whenever needed and may not rush for home

flow-in-r

foundation-to-spark

Apache Spark is a Unified Analytics Engine that provides great performance increases over Hadoop MapReduce.

fuzzy-logic

Create a logic for fuzzy match in R

google-analytics-with-r

How to automate reporting suite from GA to R, so that one can pull data at will without even interacting with Google Analytics interface. There are various things one can do and we will cover each one of them.

google-form-with-rshiny

Here we will walk through the steps required to build a shiny app that mimicks a Google Form. It will allow users to submit responses to some input fields, save their data, and allow admins to view the submitted responses.

hackerrank-challenges

heatmap-visualization-in-r

We are trying to plot an advance heatmap plot here which can be broken into hourly and monthly basis for multiple years for 24 hours in a given day

humana-mays-healthcare-analytics-case-competition-2020

Mays Business School in partnership with Humana presents the fourth annual Humana-Mays Healthcare Analytics Case Competition. The competition will be held virtually and offers an opportunity for U.S. masters students to showcase their analytical skills and solve a real-world business problems for Humana utilizing real data.

image-dethering-in-r

Trying to dether the image in R at high and low resolution and identify the noises

implementing-trelliscopejs-in-r

Trelliscopejs is an R package that brings faceted visualizations to life while plugging in to common analytical workflows like ggplot2 or the “tidyverse”.

interactive-sales-dashboard-in-rshiny

Create a sales dashboard in R shiny that can be customized by users with some cool features and graphs

investigating-nyc-parking-violations

For this project, we will analyze millions of NYC Parking violations since January 2016

k-means-clustering-in-r-and-python

k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster.

kaggle-competition-santander-customer-transaction-prediction

https://www.kaggle.com/c/santander-customer-transaction-prediction

keyboard-shortcuts

Some essential shortcuts I have learnt or use in different walks of life as an analyst enthusiast.

knapsack-problem

Implementation of knapsack problem in Python

learning-git

Git is a distributed version-control system for tracking changes in source code during software development. It is designed for coordinating work among programmers, but it can be used to track changes in any set of files. Its goals include speed, data integrity, and support for distributed, non-linear workflows.

learning-kafka

linear-regression-in-sql

In this exercise we will try to learn how can we implement linear regression just using SQL.

machine-learning-decision-trees-in-python

A decision tree is a flowchart-like structure in which each internal node represents a "test" on an attribute

machine-learning-digit-classifier-in-r

For any given image with a digit written on it (handwritten), we calculate the pixel and analyse the info to predict what digit it could be. This is a classic example of machine learning by using some train data to predict the info for a set of test data.

machine-learning-fall-2020

This repo includes all the work/assignments I did as part of my coursework in Fall 2020 under the subject code STA 9891 with Prof. Rad.

map-visualization-in-r

This exercise is to visualize real geographical maps in R and then classify it by states or counties. We also can continue to build more on the same as we progress with map building, with other possible variations.

mapreduce-exercise

This repo provides two examples and a script to easily define and run mapper and reducer functions against Hadoop MapReduce.

mastering-sql

SQL is a domain-specific language used in programming and designed for managing data held in a relational database management system, or for stream processing in a relational data stream management system.

merry-christmas-in-r

Drawing a Christmas tree in R

ml-in-bioinformatics

Bioinformatics is a subdiscipline of biology and computer science concerned with the acquisition, storage, analysis, and dissemination of biological data, most often DNA and amino acid sequences.

multivariate-statistics

This is an exercise to implement some of the key multivariate statistics test on SAS

natural-language-processing

Natural language processing is a subfield of linguistics, computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human languages, in particular how to program computers to process and analyze large amounts of natural language data.