There are 12 repositories under analytics-vidhya-competition topic.
Grandmaster in MachineHack (3rd Rank Best) | Top 70 in AnalyticsVidya & Zindi | Expert at Kaggle | Hack AI
My Attempt(s) In The World Of ML/DL....
Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visualizations, and Machine Learning Models for Classification Purposes.
AmExpert 2019 organised by AV
LTFS Data Science FinHack 2 organised by AV
Rank -2 Solution for AV-Janatahack-Healthcare Analytics
WNS Analytics Wizard 2019 - War of Wizards organised by Analytics Vidya
Innoplexus Online Hiring Hackathon: Sentiment Analysis organised by Analytics Vidya
Quantum Black Hackathon organised by Analytics Vidya
34th (Top 3%) Rank Solution for LTFS Data Science FinHack ( ML Hackathon).
Analytics Vidhya India ML Hiring Hackathon 2019
Solution for the Ultimate Student Hunt Challenge (1st place).
Repository holds all the contests and Hackathons from Analytics Vidya
L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya
Notebooks of different competitions
hypertuning decision tree to make predictions
Twitter Sentiment Analysis
Lead generation for credit card
Finally, I am creating a single repository of solutions for all the data science competitions I am presently participating in. So, far I have been maintaining separate repositories which I feel is quite tedious.
3rd Place Solution for Data Supremacy Competition on Analytics Vidhya (https://datahack.analyticsvidhya.com/contest/the-data-supremacy/)
:bowtie: Machine Learning Competition Codes
Rank 4 solution for Analytics Vidhya-Janata Hack-Demand Forecasting
Rank 4 Solution for Analytics Vidhya Jantahack Healthcare Analytics
Loan Delinquency Prediction from Analytics Vidya
credit card lead prediction
Recommendation Engine
Recommendation Engine
https://datahack.analyticsvidhya.com/contest/club-mahindra-dataolympics/
The Club Mahindra Dataolympics competition was held over Analytics Vidhya platform. The goal was to build the model to get prediction of Amount Spent on Food & Bevrages per night. The dataset contains the 35K train set and 15K test set. More details on link https://datahack.analyticsvidhya.com/contest/club-mahindra-dataolympics/
Submission for HR Analytics Hackathon - AnalysticsVidya.
Classifying daily sounds
Provided a dataset of a public stock market for 104 stocks, the challenge is to forecast the future closing prices for these stocks for the next 2 months. https://datahack.analyticsvidhya.com/contest/hacklive-4-guided-community-hackathon/#About
Repository containing all notebooks and solution files of various competitions which I participated in