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vincy13's Projects

av_job_hackathon icon av_job_hackathon

It is a Classification problem, where we had to classify whether the customer is going to take the premium or not, as 1 and 0. In this we have to submit the probabilities for class 1. Using my ensembled 3 LightGBM Classifier I was able to score 0.8197 on public leaderboard and 0.8125 on my cross validation.

blackfriday icon blackfriday

This repository contains the python code for the black friday problem. I used linear regression, Random Forest , Decision Tree and Gradient Boosting. Out of all, Gradient Boost played the best role.

employee_attrition icon employee_attrition

This repository consists of the data and ipynb file for predicting th employee attrition. It calculates the probability of the good employees leaving their job.

employeeattrition icon employeeattrition

This repository consists of the data and ipynb file for predicting th employee attrition. It calculates the probability of the good employees leaving their job.

lead-score-prediction icon lead-score-prediction

This repository contains the python code file and the train data file that is required to calculate the lead. I have used random Forest, Gradient Boosting and Decision tree algorithms. Gradient boosting gives the best results.

patientconversation icon patientconversation

The aim of the problem statement is to identify whether the person is a patient or not, on the basis of the conversation available. This problem was solved using the NLP and classification model such as XGB Classifier.

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