NidhiAShah

image
  • 6912
    Rank
  • 0
    Points

  • Badges

  • Likes

  • Hackathon
  • 0
    Articles

Badges

No badges found from Blog

No badges on discuss

No badges earned on Datahack

About NidhiAShah

Member Since May 13, 2016, 12:41 p.m.
Location Mumbai
Area of Interest

Activity

No blogs found

No Discussions found
Participated in Mind Your Strategy and secured rank 216
Participated in Skilltest: Statistics and secured rank 175
Participated in Skilltest : R for Data Science and secured rank 128
Participated in WNS Analytics Wizard 2019 and secured rank 424
Participated in Practice Problem: Strategic Thinking II
Participated in The Strategic Monk
Participated in Skilltest: Clustering
Participated in The Smart Recruits
Participated in Skilltest: Statistics II
Participated in Data & Beyond - IIM Bangalore
Participated in Knocktober 2016
Participated in Strategic Sprint
Participated in Experiments With Data
Participated in Big Mart Sales Prediction
Participated in AV Casino : Introduction to Probability
Participated in Experiments With Data
Participated in Skilltest: SQL
Participated in Experiments With Data
Participated in Identify the Digits (MNIST)
Participated in Twitter Sentiment Analysis
Participated in ML Hikeathon (An Online Machine Learning Hackathon)
Participated in Loan Prediction
Participated in Webinar: Building products in the AI era
Participated in Black Friday Sales Prediction
Participated in LTFS Data Science FinHack ( ML Hackathon)
Participated in Identify the Sentiments
Participated in Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud)
Participated in Delhi Meetup: Mining Networks by Hike
Participated in Webinar: Introduction to TensorFlow with Intel Optimizations
Participated in Time Series Forecasting
Support

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy.

Feedback

We believe in making Analytics Vidhya the best experience possible for Data Science enthusiasts. Help us by providing valuable Feedback.