xeeman

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About xeeman

Member Since Feb. 14, 2018, 1:05 a.m.
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Participated in AmExpert 2019 – Machine Learning Hackathon and secured rank 90
Participated in ML Hikeathon (An Online Machine Learning Hackathon) and secured rank 98
Participated in Game of Deep Learning: Computer Vision Hackathon and secured rank 43
Participated in JOB-A-THON and secured rank 71
Participated in Practice Problem: Intel Scene Classification Challenge and secured rank 25
Participated in Genpact Machine Learning Hackathon and secured rank 265
Participated in WNS Analytics Wizard 2019 and secured rank 219
Participated in Club Mahindra DataOlympics and secured rank 111
Participated in Dataverse Hack and secured rank 22
Participated in Capillary Machine Learning Hackathon and secured rank 34
Participated in Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud)
Participated in Recommendation Engine
Participated in Big Mart Sales Prediction
Participated in Joke Rating Prediction
Participated in Twitter Sentiment Analysis
Participated in Time Series Forecasting
Participated in Identify the apparels (Fashion MNIST)
Participated in Age Detection of Actors
Participated in Practice Problem: Urban Sound Classification
Participated in Identify the Digits (MNIST)
Participated in Loan Prediction
Participated in Black Friday Sales Prediction
Participated in Food Demand Forecasting
Participated in Tredence (SQL Hackathon): Hack and Get Hired
Participated in Innoplexus Online Hiring Hackathon: Saving lives with AI
Participated in Community Meet: Rise of Super AI (Bengaluru Chapter)
Participated in HR Analytics
Participated in Predict Number of Upvotes
Participated in LTFS Data Science FinHack ( ML Hackathon)
Participated in LTFS Data Science FinHack 2
Participated in Dataverse Hack: Build an AI Model to Save Lives
Participated in AmExpert 2021 – Machine Learning Hackathon
Participated in Hack4Retail by McKinsey & Company and Fozzy Group
Participated in DataHour: Product Based Case Studies for Data Science Interviews
Participated in DataHour: Causal Experimentations - When A/B Test is Not Possible
Participated in DataHour: Document Understanding and OCR using Transformers
Participated in DataHour: Introduction to Positive Unlabelled(PU) Learning
Participated in DataHour: Towards Data Storytelling
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