Análisis de datos enfocado a encontrar soluciones para espesores altos en compuertas pintadas con pintura en polvo.

Descriptive And Inferential Data Analysis Using Python

Project done during my MBA course.

Task 2 of Prodigy InfoTech Data Science Internship

The main objective of this project is to develop a machine learning model to predict whether videos reported by users presented claims or opinions to improve triaging process of videos for further review by human moderators.

The project aims to develop a machine learning model that predicts whether an employee will leave the company. A successful model will help identify key variables that drive employee turnover.

Case study to understand the driving factors (or driver variables) that contribute to a loan default.

Deep data introspection for the National Solar Radiation Database

My Streamlit Web App in which I show the findings of analyzing all my chess.com games 😮 Analyze your own games by just providing the username 😍

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

Always know what to expect from your data.

Do files employed in my research

In this repository I'll add all the material regarding the EDA workshops.

Predicting Walmart Sales and Performing Exploratory Data Analysis

Task 1 of Prodigy InfoTech Data Science Internship

Task 3 of the Prodigy infotech Data science internship

Here in this work EDA is perform on the Stack Overflow dataset which contains about 85,000 responses to 84 questions. Numpy, Pandas,Matplotlib and Seaborn libraries of python are used in this work.

COVID-19-Data-Analysis

This repository contains various Data Science projects which reflects what I have learnt from different online platforms.

In this section we will be predicting diabetes using classification machine-learning algorithms