This project is open-ended in that we are not looking for one right answer. As John Tukey stated, "The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data." We want you to ask interesting questions about data and give you a chance to explore.

This case study aims to identify patterns which indicate if a client has difficulty paying their installments which may be used for taking actions such as denying the loan, reducing the amount of loan, lending (to risky applicants) at a higher interest rate, etc. This will ensure that the consumers capable of repaying the loan are not rejected. …

Business Case: Aerofit - Descriptive Statistics & Probability

Engage in the critical phase of Exploratory Data Analysis (EDA) using the tools and techniques from Python to uncover patterns, spot anomalies, test hypotheses, and identify the main structures of your dataset.

In this project, I use the 'Python Programming Language' to analyze a given dataset obtained from a shopping mall's database in a bid to increase sales by better marketing clusters.

Analyze house price data using univariate, bivariate, and multivariate analysis.

In this project, we have analyzed, explored and processed the data, developed and evaluated various classification and regression models to provide strategies for high returns with low risk for investors.

The goal of this project is to predict the future medical expenses of patients based on certain features. Factors affecting the medical expenses of the patients - age, gender, body mass index, region, smoking behavior, medical health expenses.

Exploratory data analysis and supervised learning analysis on the Ames Housing Prices dataset.

Predictive modeling

Perform univariate and bivariate analysis to prepare data for modelling in later stages

X Education Organization wants to identify if a customer registered on their website for enquiry is a potential customer or not. Using past data to build a machine learning algorithm

making analysis using Exploratory and Explanatory visualizations through Univariate, Bivariate, Multivariate Exploration

This document contains the project done on Exploratory data analysis, Univariate, Bivariate and Multivariate

To identify if a person is likely to default or not.

Exploratory Data Analysis and Visualization of Google Play Store Dataset

This repository contains data analytics projects which covers most topics regarding data analytics