deepak_.k

image
  • 6942
    Rank
  • 0
    Points

  • Badges

  • Likes

  • Hackathon
  • 0
    Articles

Badges

No badges found from Blog

No badges on discuss

No badges earned on Datahack

About deepak_.k

Member Since April 28, 2016, 9:15 p.m.
Location Navi Mumbai
Area of Interest Predictive Modelling, Machine Learning, Analytics

Activity

No blogs found

No Discussions found
Participated in Linguipedia codeFest Natural Language Processing and secured rank 127
Participated in McKinsey Analytics Online Hackathon - Healthcare Analytics and secured rank 307
Participated in Knocktober 2016 and secured rank 230
Participated in Mind Your Strategy and secured rank 328
Participated in The Smart Recruits and secured rank 229
Participated in Skilltest: Deep Learning and secured rank 84
Participated in Felicity : Kings of Machine Learning
Participated in Mini Datahack
Participated in The Strategic Saviour
Participated in Skilltest: Statistics II
Participated in Black Friday Sales Prediction
Participated in Identify the Digits (MNIST)
Participated in Webinar: Automated Machine Learning using MLBox python package
Participated in Experiments With Data
Participated in Loan Prediction
Participated in AVdatafest : The Seer's Accuracy
Participated in Skilltest: Regression
Participated in Skilltest: NLP
Participated in Recommendation Engine
Participated in Enigma codeFest Machine Learning
Participated in Predict Number of Upvotes
Participated in Identify the Sentiments and secured rank 127
Participated in Skilltest: Tree Based Algorithms
Participated in Click Prediction Hackathon
Participated in Age Detection of Actors
Participated in Skilltest: Python for Data Science
Participated in Fractal Analytics Hiring Hackathon
Participated in Twitter Sentiment Analysis
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.