We use multiple Tree boosting models and compare their performance to calculate the fit percentage of a candidate for the job they apply for. Also try to handle categorical methods using various methods.
The goal is to create a model predicting the grade of an essay
It is a Problem Which I got During the ZS Data Science Challenge From Interview Bit Hiring Challenge Where I secured a 40th Rank out of 10,000 Students across India. It is a Dataset which requires Intensive Cleaning and Processing. Here I have Performed Classification Using Random Forest Classifier and Used Hyper Tuning of the Parameters to achi…
This repository contains one of the pre-requisite notebooks for my internship as a Data Analyst at Technocolabs. It includes some of the micro-courses from Kaggle.
The project involves creating a predictive model and analyzing the impact of Brexit on UK house prices. It includes tasks such as data preprocessing, exploratory data analysis, feature selection, model building, and visualization of the impact of Brexit on house prices.
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