makoczoro/Credit-Default-Risk-Analysis-EDA

This repository contains the detailed EDA Analysis of Home Credit Group Dataset. The analysis aims to find demographic and financial factors associated with higher or lower default risks, providing actionable insights for risk mitigation and improved lending practices

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mlatinov/Predict-Podcast-Listening-Time

This R project analyzes the dataset from the Kaggle competition 'Playground Series Season 5 Episode 4'. The objective is to build a model that accurately predicts the target variable. The final placement will depend on the model's performance as measured by the Root Mean Squared Error (RMSE).

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ankit-verma2000/Business-Case-Yulu

This project analyzed factors affecting the demand for shared electric cycles in the Indian market. Using EDA and hypothesis testing, I found no significant effect of "working day" on rental count but confirmed that seasonality influences demand. The insights provide valuable guidance for optimizing shared cycle availability.

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sAwAiRa-iQbal/Data-Visualization-Project-on-car-SALES-Data

Explore Sales Data Visualization with Interactive Charts & Insights! 📊 Uncover trends and patterns to drive smarter automotive decisions.

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shahgem/CIND-820

Predicting Cryptocurrency Prices with Machine Learning - Time Series Forecasting

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aeiwz/lingress

The lingress project is to develop the pipeline to analyse the Nuclear magnetic resonance (NMR) dataset using a univariate linear regression model. This package contains the analysis with linear regression (OLS) and visualises the interpretation of the results with a p-value of all NMR peaks.

Language: Python - Size: 3.21 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 2 - Forks: 0

PacktWorkshops/The-Data-Analysis-Workshop

A New Interactive Approach to Learning Data Analysis

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HaiyangJin/fMRI-Matlab

Matlab Wrapper of Surface-based Analysis. Custom Matlab functions for running analyses with FreeSurfer, CoSMoMVPA, HCP pipeline (and SamSrf)...

Language: MATLAB - Size: 171 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 13 - Forks: 2

burcuyesilyurt/Monitoring_A_Financial_Fraud_Detection_Model

Help the bank monitoring their fraud detection model and figuring out why it's not performing as expected.

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syedalimohsinbukhari/pyMultiFit

A library to fit the data with multiple fitters.

Language: Python - Size: 86.9 MB - Last synced at: 2 days ago - Pushed at: 14 days ago - Stars: 2 - Forks: 1

ArtZaragozaGitHub/PY--P1_FoodApp

Customer Behaviour Analysis and Business Observations to Improve Relationships, Increase Sales and Services.

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GusmaoJB/GusmaoJB

Ecology and Data Science

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FedeGambe/Master_s_thesis_Data_science

Questa repository contiene il codice e i materiali relativi alla tesi magistrale, con un focus su analisi statistiche ed analisi predittive. Include strumenti e metodi per esplorare e modellare i dati, con tecniche statistiche avanzate come la regressione logistica, analisi di clustering, e metodi di ML e DL per la previsione e classificazione

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DataBells/customer_segmentation_clustering

Domain: Retail; Perform Segmentation on group of Customers of a Shopping Mall

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dardenkyle/FoodHub

Perform an exploratory data analysis and provide actionable insights for a food aggregator company to get a fair idea about the demand of different restaurants and cuisines, which will help them enhance their customer experience and improve the business

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manuethomas/Credit-Default-Risk-Analysis-EDA

This repository contains the detailed EDA analysis of Home Credit Group Dataset. The analysis aims to find demographic and financial factors associated with higher or lower default risks, providing actionable insights for risk mitigation and improved lending practices

Language: Jupyter Notebook - Size: 2.41 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

kflisikowski/ds

Descriptive Statistics 2023/2024

Language: HTML - Size: 17.3 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 1

coder5omkar/LendingClubCaseStudy

Performed exploratory data analysis (EDA) on the loan dataset from the Lending Club Case Study to identify the key factors influencing loan defaults.

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christiangarcia0311/data-exploration-analysis

Data Exploration is the initial step in data analysis, where users explore a large data set in an unstructured way to uncover initial patterns, characteristics and points of interest.

Language: Python - Size: 118 KB - Last synced at: 18 days ago - Pushed at: 5 months ago - Stars: 4 - Forks: 1

Badar-Islam/Fitness_improvement

Analyzed customer characteristics using user counts, probabilities, and conditional probabilities to profile target audiences for AeroFit's treadmill portfolio. Delivered actionable insights to recommend the most suitable treadmill model—entry-level, mid-level, or advanced—to new customers, enhancing product alignment with user needs.

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prneidhardt/Python-Foundations

FoodHub Project

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shyammanikandan/Aerofit_Business_Case_Study

Aerofit Business Case Study - Exploratory Data Analysis to derive insights, trends and patterns.

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shyammanikandan/Credit_Risk_Analysis

Credit Risk Analysis on bank details and credit data

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manjugovindarajan/FoodHub-Order-Analysis-using-Python

A food aggregator company has stored data of different orders made by registered customers in their online portal. They want to analyze data to draw some actionable insights for business. Perform data analysis to find answers that will help the company to improve business.

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vaishali071017/Netflix-Data-Exploration-and-Visualisation

Strategic Analysis and Insights: Enhancing Netflix Content Strategy for Global Growth

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dBalag/Chinook

The Chinook Data Analysis Project leverages PostgreSQL, Python, and Google Spreadsheets to explore and analyze the Chinook music store database. Insights will be presented through Tableau Dashboards and Stories. Stay tuned for updates as the project evolves.

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sanasayyed2001/Enhancing-Retail-Performance-BigMart-Data-Insights

The project involves Exploratory Data Analysis (EDA) of the BigMart Sales dataset, using Python and various data analysis libraries. The aim is to provide actionable recommendations that can help BigMart optimize its operations and drive sales growth.

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Shaikh-areeb/Zomato_EDA

The Zomato dataset typically includes data related to restaurants, such as restaurant names, locations, cuisines, ratings, reviews, cost for two, and more. Exploratory Data Analysis (EDA) on this dataset aims to uncover underlying patterns, trends, and insights that can help understand the restaurant industry better.

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saranya-ponnarasu/Predictive_Lead_Scoring_for_Edtech

Predicting lead conversion rates using a Logistic Regression model for an EdTech company.

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AmbreenMahhoor/How-to-perform-EDA-by-using-Univariate-Analysis

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krunal-nagda/Credit-EDA-Case-Study

This case study aims to identify patterns which indicate if a client has difficulty paying their instalments 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. Identification of such applicants using EDA is the aim of this case study.

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SandhiyaKumar-18/Univariate-Analysis-Bar-chart

In this repo Univariate Analysis Using Bar plot Explained

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AliHaider5577/DataScience_Salaries_2023_EDA

Exploratory Data Analysis of Data Science Salaries 2023 dataset from Kaggle

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arnabberawork/LendingClubCaseStudy

Upgrad and IIITB Assignment - Case study to understand the driving factors (or driver variables) that contribute to a loan default.

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HarshitLaloriya/EDA-on-Hotel-Booking-Dataset

This project involves analyzing a hotel booking dataset to gain actionable insights and guide strategic decision-making for a hotel establishment.

Language: Jupyter Notebook - Size: 24.5 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

vaishali071017/Yulu-Hypothesis-Testing

Analyzing Demand Drivers for Yulu's Micro-Mobility: A Hypothesis Testing Study

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vaishali071017/Walmart-Confidence-Interval-and-CLT

Analyzing Gender-Based Spending Patterns: A Comprehensive Study of Walmart Inc. Customers

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imharshag/AQI-Analysis Fork of Chinmay-Ankolekar/Exploratory-data-analysis

This project aims to analyze the AQI data using univariate and bivariate analysis techniques to understand the distribution, trends, and relationships within the data.

Language: Jupyter Notebook - Size: 702 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 4 - Forks: 0

tomartushar/Credit-Card-Fraud-Detection

An ensemble of machine learning models for detecting fraudulent credit card transactions, utilizing advanced techniques for feature selection, data imbalance handling, and hyperparameter tuning.

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Nikhilsen29/Aerofit---Descriptive-Statistics-Probability

Aerofit is a leading brand in the field of fitness equipment. Aerofit provides a product range including machines such as treadmills, exercise bikes, gym equipment, and fitness accessories to cater to the needs of all categories of people.

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tushar2704/Stats-Mosaic-Streamlit

Stats-Mosaic-Streamlit is a comprehensive GitHub repository that aims to provide a growing collection of curated content and projects centered around statistics and its intersection with data science, machine learning, and artificial intelligence.

Language: Python - Size: 18.6 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Siddhu-T/Walmart-Business-Case

Business Case: Walmart - Confidence Interval and CLT

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Siddhu-T/Aerofit-Business-Case-Study

Business Case : Aerofit - Descriptive Stats & Probability

Language: Jupyter Notebook - Size: 478 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Paras-bakshi/EDA-on-IRIS-Dataset

Exploratory Data Analysis on IRIS Dataset

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Redoxangel/Mall-clustering-project

Language: Jupyter Notebook - Size: 445 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

shweta-yadav15/Predicting-House-Prices

EDA and advanced Regression

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SughoshKulkarni/Auto-Forecasting

Auto-Forecasting is a web application that takes in an excel file with univariate time series data and provides forecasts. Auto-Forecasting works on SARIMA modeling.

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srimallipudi/Analysis-of-Sales-Representative-Salaries-in-Software-Industry-by-Personality-types

This repository presents a comprehensive analysis of sales representative profiles within a software product group. The analysis explores various factors at play such as age, gender, experience, personality type, certifications, feedback scores, salary, and Net Promoter Scores (NPS) to derive actionable insights and support decision-making process.

Language: Python - Size: 831 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

tcarlos87/Data-science-Portfolio

Data science solutions

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raquelbaeta/r-government-expenditure-and-drug-seizures-2017

This script, titled "Multiple Regression and Causal Analysis," conducts a series of univariate, bivariate, and multivariate analyses to explore the relationship between government expenditure, gross domestic product (GDP), drug seizures, and the United Nations Drug Control Treaty.

Language: R - Size: 10.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

LauraMutheu/Python_Project_2

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.

Language: Jupyter Notebook - Size: 612 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

FuadAnalyst/EDA-Exploratory-Data-Analysis

Exploratory Data Analysis (EDA) on a dataset from Kaggle

Language: Jupyter Notebook - Size: 7.32 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

UzoigweC/FoodHub

As a Data Scientist for the food aggregator company, I'll analyze order data to derive actionable insights. I'll address key questions like popular cuisines, peak order times, customer preferences, and delivery efficiency. Insights will guide improvements to boost customer satisfaction and streamline operations.

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SannketNikam/NYC-Energy-Consumption

Predicting New York City Energy Demand Consumption using Auto-Arima and Prophet Time Series Analysis

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HannahIgboke/Innomatics-Internship

What interesting trends can be seen from the AMEO 2015 study? This is a comprehensive Exploratory Data Analysis of the AMEO study using Python. Come see what I found out during my analysis.

Language: Jupyter Notebook - Size: 1.57 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Mahitej28/Analysis-of-AMEO-Dataset

Performing Exploratory Data Analysis of a Dataset

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ssaket/eeg-analysis-notebooks

Notebooks for cleaning, filtering, and performing ICA, Mass-univariate and Decoding analysis

Language: Jupyter Notebook - Size: 11 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

RajajiVignan/EDA-Potential-Insurance-Customers

Exploration of the potential customers of insurance. Also, drawing insights with the help of univariate and multi-variate analysis

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jyoti0225/Air-Pollution-Forecasting

Time Series Analysis of Air Pollutants(PM2.5) using LSTM model

Language: Jupyter Notebook - Size: 745 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 40 - Forks: 10

Mukul-kush/Bank-Marketing-Case-Study

Bank of Corporate Case Study

Size: 23 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

AmMoPy/Data_Visualization

Collection of data visualizations that are normally part of an EDA

Language: Jupyter Notebook - Size: 874 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

nimmigopan/SQL-case-study-on-laptop-dataset

Data Cleaning & EDA using SQL + Data Analysis & Visualization in Excel

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gupta-astha/Data-Science-projects

Language: Jupyter Notebook - Size: 5.55 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ousmal/Openclassrooms_Projet2_app_sant-

Application pour la santé publique France

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Dipti028/LendingClubCaseStudy

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

Language: Jupyter Notebook - Size: 10.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Mehrab-Kalantari/Book-Price-Prediction

Book price dataset analysis and modeling

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albertobas/ames-housing-prices

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

Language: Jupyter Notebook - Size: 10.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

MoinDalvs/Learn_EDA_for_Data_Science

Univariate, Bivariate and Multi-variate Analysis

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pgrondein/nutrition_app_feasibility

Feasibility of a nutritional assessment application

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SanaeSaccomano/Data-Science

Résumé de mes projets de Data Science

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venkatesh-eranti/clustering_Bank-Telemarketing-Campaign-Case-Study

In this case study I will be doing Exploratory Data Analytics with the help of a case study on Bank marketing campaign.

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ashishyadav24092000/UnivariateAndBivariateAndMultivariate-Analysis

Analysis for univariate, bivariate and multivariate types.

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VinitSR7/Personalized-Medicine

Classifying clinically actionable genetic mutations; NIPS-2017 Competition

Language: Jupyter Notebook - Size: 3.25 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

carlosalvarezh/Analitica_Datos

Curso de Analítica de datos para la toma de decisiones basadas en información, ofrecido al CEC de la Universidad EAFIT.

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Victoriambaka/IP-WEEK-7

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

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akashkriplani/lending-club-case-study

EDA analysis on loan dataset from Lending Club Case Study to understand the driving factors (or driver variables) behind loan default

Language: Jupyter Notebook - Size: 17 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

KritikaAggarwal15/data-science-framework

This is a combined framework which has all the EDA functions including bivariate and univariate analysis and classification models. EDA Functions can help to analyze the Data before running any ML model.

Language: Jupyter Notebook - Size: 2 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

aditya-shinde16/Walmart_Case_Study

Business Case: Walmart - Confidence Interval and CLT

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aditya-shinde16/Aerofit_Case_Study

Business Case: Aerofit - Descriptive Statistics & Probability

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himanshu0195/Zomato-EDA

Exploratory Data Analysis on Zomato Data

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ISAIAH-Git/SEABORN-COMPLETE-END-TO-END

Complete seaborn end to end

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ftmoztl/EDA-data-visualization

Exploratory Data Analysis and Visualization of Google Play Store Dataset

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kaushik-prasad-dey/Data-analytics-projects

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

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MahalakshmiAdabala/Predicting-Term-Deposit-Subscription

Predictive Bank Marketing Campaigns Analysis

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y656/Data-Analytics-model-on-Behavioural-Challenges-of-ASD-kids

This repository contains Exploratory Data Analysis in Python on Autism Behavioural Challenges on children(0-18 years) dataset

Language: Jupyter Notebook - Size: 1.05 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 2

aeglon97/Communicate-Data-Findings

A presentation of my exploratory data visualization results with univariate, bivariate, and multivariate features.

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HeliaHashemipour/Trade-Forecast

Trade forecast

Language: Jupyter Notebook - Size: 8.76 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

usmanelahi/Fraud-Detection-In-Online-Transactions

Data Science Project

Language: Jupyter Notebook - Size: 666 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Abanoub8yuossef/Prosper-Loan_data-analysis-project

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

Language: Jupyter Notebook - Size: 2.97 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

DandiMahendris/regression-model-cac

Regression models for predicting customer acquisition costs (CAC) and the effectiveness of univariate and lasso feature selection techniques in improving the accuracy.

Language: Jupyter Notebook - Size: 51.6 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

S-CHAN11/Insurance-Claim-Prediction

In this project, I use 3 machine learning models (CART, Random Forest and ANN) to predict the claim frequency for a travel insurance firm. I also evaluate which of the three models is most suitable for our dataset.

Language: Jupyter Notebook - Size: 1.91 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Palemravichandra/Laptop_Price_Prediction

Laptop_Price_Prediction

Language: Jupyter Notebook - Size: 1.78 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Palemravichandra/customer-segmentation

customer segmentation of insurance comapany

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indrapaul824/Coronary-Heart-Disease-Prediction

This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project

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dpghazi-zz/pisa-2012-data-analysis

Implemented univariate, bivariate, and multivariate Analyses to see how students performed globally from the PISA 2012 Dataset.

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Phani2019/Cancer-diagnosis-and-classification-using-different-ML-Models

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simrann20/Retail-Marketing-Exploratory-Data-Analysis-and-Data-Preprocessing

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ashish-pro/bank-loan-case-study

This case study aims to identify patterns which indicate if a client has difficulty paying their instalments 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.

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teekamkhandelwal/Lending_Club_case_Study

EDA Project case study

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Mehak0310/Credit-EDA-Case-Study

Perform Exploratory Data Analysis(EDA) on loan applications to understand how various client attributes (like marital status, education, occupation, etc.) influence the tendency of default.

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