Mohit

Sales_Dtaa_EDA

Jupyter Notebook • 2 stars

PIMA-INDIAN-Diabetic

Exploratory Data Aanlysis

Jupyter Notebook • 2 stars

EDA-on-Credit-Card-Anslysis

Perform exploratory data analysis and provide key insights derived from the same backed with suitable graphs and plots.

Jupyter Notebook • 2 stars

compititions

Jupyter Notebook

car

Python

SuperMarket_EDA

Jupyter Notebook • 1 star

World-Hapiness-Report-in-Prespective-of-India

EDA on World Hapiness Report

Jupyter Notebook • 2 stars

Customer_Segmentation_Analysis

Context Customer data is defined as the information your customers provide while interacting with your business via your website, mobile applications, surveys, social media, marketing campaigns, and other online and offline avenues. Customer data is a cornerstone to a successful business strategy. Data-driven organizations realize the importance of this and take action to ensure that they collect the necessary customer data points that would enable them to improve customer experience and fine-tune business strategy over time. Content This Customer Segmentation Dataset is a Dummy Dataset, which is generated mainly to practice various types of Data Science/Machine Learning activities. The Dataset is specially targeted towards beginners and newbies for getting their hands dirty with data. Though, even experienced professionals will also enjoy this Dataset. The Dataset consists of 51000 Customer records. The Dataset contains information like: First Name, Last Name, Title, Gender, E-mail, City, Country, Country Code, Latitude, Longitude, Phone, Street Address, Street Name, Street Number, Street Suffix, Time Zone, Company Name, Department, Job Title, Language, University, Linkedin Skill, IP Address. Acknowledgements For more, please visit - https://www.mockaroo.com/

Jupyter Notebook • 1 star

Supersale-Data

Jupyter Notebook • 1 star

2018-02-olympic-figure-skating-analysis

Data, code, and methodology supporting BuzzFeed News' analysis of figure skating scores at the 2018 Olympic Winter Games, published on February 23, 2018.

Fork Jupyter Notebook • 1 star

Global_Terrorism_Analysis

The Global Terrorism Database (GTD) is an open-source database including information on terrorist attacks around the world from 1970 through 2017. The GTD includes systematic data on domestic as well as international terrorist incidents that have occurred during this time period and now includes more than 180,000 attacks. The database is maintained by researchers at the National Consortium for the Study of Terrorism and Responses to Terrorism (START), headquartered at the University of Maryland.

Jupyter Notebook • 4 stars

Capstone

Data Science Capstone

Jupyter Notebook

IMUS-Project

Sales Analysis

Jupyter Notebook • 2 stars

Car_Price_Prediction

with help of random forest regression

Jupyter Notebook • 1 star

churn_prediction

Telecom Customer Churn

Jupyter Notebook • 1 star

Heart-_Rate_Prediction

Jupyter Notebook • 2 stars

Students-Grade-Prediction

Students Grade Prediction using linear and random forest regression with EDA and Visualization

Jupyter Notebook • 1 star

GAPMINDER-Project

Jupyter Notebook • 1 star