Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
-
Updated
Jan 30, 2020
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
Problem Statement: Given the tweets from customers about various tech firms who manufacture and sell mobiles, computers, laptops, etc, the task is to identify if the tweets have a negative sentiment towards such companies or products.
Analytics Vidhya India ML Hiring Hackathon 2019
Notebooks of different competitions
Contains my experiments for the Game of Deep Learning Hackathon conducted by Analytics Vidhya
Machine Learning for Email Marketing Campaigns
Rank 4 Solution for Analytics Vidhya Jantahack Healthcare Analytics
This repo is a project where we developed a real-world prototype of how deep learning and image classification can be used in the banking sector. The goal is to carry out a complete machine-learning demo using a real-life problem scenario.
The aim is to build a predictive model and find out the sales of each product at a particular store. Using this model, BigMart will try to understand the properties of products and stores which play a key role in increasing sales.
Rank 3 notebook for Analytics Vidhya HackLive2 hackathon
Rank 89 Solution for Analytics Vidhya Jantahack Customer Segmentation
Loan prediction using Machine learning.
A Predictive analysis project to predict the success rate of On-Time deposits of Premiums by Policy Holders.
Add a description, image, and links to the analytics-vidhya topic page so that developers can more easily learn about it.
To associate your repository with the analytics-vidhya topic, visit your repo's landing page and select "manage topics."