Karan Choudhary (@ncukaran18csu103)
github

ncukaran18csu103

Twitter logo Share LinkedIn logo Share Facebook logo Share
  • Stars
    star
    31
  • Global Rank 479,903 (Top 17 %)
  • Followers 1
  • Following 4
  • Registered almost 6 years ago
  • Most used languages
    Jupyter Notebook
         66.7 %
    HTML
         22.2 %
    C++
         11.1 %
  • Location ๐Ÿ‡ฎ๐Ÿ‡ณ India
  • Country Total Rank 18,215
  • Country Ranking
    Jupyter Notebook
         2,372
    C++
         4,609
    HTML
         8,339

Top repositories

1

dphi-OldCarPricePredictChallenge-Rank9

Jupyter Notebook
4
star
2

Suven-Consultants-DataAnalyticsCodingBasedInternship

In this Internship we are responsible for perform data cleaning, perform analysis for testing the (given) Hypothesis and finally put-forth your conclusion by writing a blog article and second task of the internship is to do Handwritten Digit Recognition and perform our Analysis and write blog on the basis of Analysis.
Jupyter Notebook
4
star
3

Widhya-internship-Webdevolper

Frontend internship
C++
3
star
4

Recommendation-system-using-pyspark

Jupyter Notebook
3
star
5

Machine-learning-and-deep-learning-Projects

3
star
6

Widhya-Missions

Jupyter Notebook
2
star
7

smart-app

2
star
8

web-app

HTML
2
star
9

NLP-chatbot

HTML
2
star
10

karan_18csu103

Jupyter Notebook
2
star
11

Suven-Consultants-MarketAnalysisCodingBasedInternship

Association Rules are widely used to analyze retail basket or transaction data, and are intended to identify strong rules discovered in transaction data using measures of interestingness, based on the concept of strong rules. The outcome of this type of technique is, in simple terms, a set of rules that can be understood as โ€œif this, then thatโ€.
Jupyter Notebook
2
star