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.

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.

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

This project demonstrates a Clustering Model using Python. An international humanitarian NGO that is committed to fighting poverty and providing the people of backward countries with basic amenities and relief during the time of disasters and natural calamities. It has been able to raise around $ 10 million. The model is needed to help decide ho…

Predictive modeling

This repository contains dataset for different telecom operators, It contains the features like Network Type, Call Drop Category, In Out Travelling, Latitude, Longitude, State Names, Average Data Upload and Download Speeds, Average Signal Strength and some demographic features such as Population, Literacy Rate, Rainfall and Area of the state.

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

Predictive Bank Marketing Campaigns Analysis

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

Performed the User Analytics for a Telecom Industry. The data is extracted from a month of aggregated data on xDR. The tasks done are User Overview analysis User Engagement Analysis Satisfaction Analysis Experience Analytics

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

Matplotlib The Figure is the overall window or page that everything is drawn on. It’s the top-level component of all. To the figure you add Axes. The Axes is the area on which the data is plotted. A figure can have multiple axes. Note: when you see, for example, plt.xlim, you’ll call ax.set_xlim() behind the covers. All methods of an Axes object…

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