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Sanjay Gupta's Projects

docgen icon docgen

An easy to use one stop solution for generating handwritten documents without actually having to write one. Doc Writer is a savior for all those, who need to complete Handwritten work, without actually having to write one. Be it your assignments, home work or any other tasks, use it for all.

doubthut-htm_20 icon doubthut-htm_20

7th Rank out of 150+ submissions. This my official entry for HTM (Major League Hacking) 2020. (My first ever hackathon)

edoptimize icon edoptimize

EdOptimize is an open-source learning analytics platform for K-12 digital learning systems.

edtube icon edtube

A Vue.js + Django RESTful API educational video streaming platform

education_management_system icon education_management_system

The COVID-19 epidemic has sparked a digital revolution in academic and higher education institutions, amplifying the magnitude and pace of upheaval already underway in the sector. Athena: Learn from Anywhere Anytime, our startup idea is an all-in-one teaching platform that teachers, professors and academicians can utilize to make their classes more interesting and help their students succeed via active learning.

empirical-core icon empirical-core

Empirical Core is the mono repo for the Quill.org codebase. This repo contains both the Quill Learning Tools, such as Quill Connect, and the Quill Learning Management System, the platform that enables teachers to provide assignments and view results. (Empirical is the name of the nonprofit building Quill.org).

flask icon flask

The Python micro framework for building web applications.

fortune-sheet icon fortune-sheet

FortuneSheet is an online spreadsheet component library that provides out-of-the-box features just like Excel

free-for-dev icon free-for-dev

A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

free-gpt4-web-api icon free-gpt4-web-api

FreeGPT4-WEB-API is a python server that allows you to have a self-hosted GPT-4 Unlimited and Free WEB API, via the latest Bing's AI.

freecodecamp icon freecodecamp

freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

gitignore icon gitignore

A collection of useful .gitignore templates

gpt-engineer icon gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

hive-case-study icon hive-case-study

With online sales gaining popularity, tech companies are exploring ways to improve their sales by analysing customer behaviour and gaining insights about product trends. Furthermore, the websites make it easier for customers to find the products they require without much scavenging. Needless to say, the role of big data analysts is among the most sought-after job profiles of this decade. Therefore, as part of this assignment, we will be challenging you, as a big data analyst, to extract data and gather insights from a real-life data set of an e-commerce company. One of the most popular use cases of Big Data is in eCommerce companies such as Amazon or Flipkart. So before we get into the details of the dataset, let us understand how eCommerce companies make use of these concepts to give customers product recommendations. This is done by tracking your clicks on their website and searching for patterns within them. This kind of data is called a clickstream data. Let us understand how it works in detail. The clickstream data contains all the logs as to how you navigated through the website. It also contains other details such as time spent on every page, etc. From this, they make use of data ingesting frameworks such as Apache Kafka or AWS Kinesis in order to store it in frameworks such as Hadoop. From there, machine learning engineers or business analysts use this data to derive valuable insights. For this assignment, you will be working with a public clickstream dataset of a cosmetics store. Using this dataset, your job is to extract valuable insights which generally data engineers come up within an e-retail company.

hivecasestudy_js icon hivecasestudy_js

With online sales gaining popularity, tech companies are exploring ways to improve their sales by analysing customer behaviour and gaining insights about product trends. Furthermore, the websites make it easier for customers to find the products they require without much scavenging. Needless to say, the role of big data analysts is among the most sought-after job profiles of this decade. Therefore, as part of this assignment, we will be challenging you, as a big data analyst, to extract data and gather insights from a real-life data set of an e-commerce company. One of the most popular use cases of Big Data is in eCommerce companies such as Amazon or Flipkart. So before we get into the details of the dataset, let us understand how eCommerce companies make use of these concepts to give customers product recommendations. This is done by tracking your clicks on their website and searching for patterns within them. This kind of data is called a clickstream data. Let us understand how it works in detail. The clickstream data contains all the logs as to how you navigated through the website. It also contains other details such as time spent on every page, etc. From this, they make use of data ingesting frameworks such as Apache Kafka or AWS Kinesis in order to store it in frameworks such as Hadoop. From there, machine learning engineers or business analysts use this data to derive valuable insights. For this assignment, you will be working with a public clickstream dataset of a cosmetics store. Using this dataset, your job is to extract valuable insights which generally data engineers come up within an e-retail company. You will find the data in the link given below. https://e-commerce-events-ml.s3.amazonaws.com/2019-Oct.csv https://e-commerce-events-ml.s3.amazonaws.com/2019-Nov.csv

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