univariate-analysis | Topic | Ecosyste.ms: Repos

PacktWorkshops/The-Data-Analysis-Workshop

A New Interactive Approach to Learning Data Analysis

Language: Jupyter Notebook - Size: 63.3 MB - Last synced at: 11 days ago - Pushed at: almost 2 years ago - Stars: 70 - Forks: 56

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

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: 28 days ago - Pushed at: 28 days ago - Stars: 13 - Forks: 2

indrapaul824/Coronary-Heart-Disease-Prediction

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

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 3

Defcon27/Data-Analysis-of-Indian-Automobile-dataset-using-Machine-Learning-in-R

The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in R programming language.

Language: R - Size: 13 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 7

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: 24 days ago - Pushed at: 5 months ago - Stars: 4 - Forks: 1

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: 11 months ago - Pushed at: 11 months ago - Stars: 4 - Forks: 0

Davidelvis/Telecommunication-Project

Language: Jupyter Notebook - Size: 90 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 1

shahgem/CIND-820

Predicting Cryptocurrency Prices with Machine Learning - Time Series Forecasting

Language: Jupyter Notebook - Size: 59.1 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 3 - Forks: 1

syedalimohsinbukhari/pyMultiFit

A library to fit the data with multiple fitters.

Language: Python - Size: 86.9 MB - Last synced at: 9 days ago - Pushed at: 21 days ago - Stars: 2 - Forks: 1

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: 27 days ago - Pushed at: 27 days ago - Stars: 2 - Forks: 0

carlosalvarezh/Analitica_Datos

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

Language: Jupyter Notebook - Size: 48.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

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

Samirnunes/eda_sql_univariate_tech_layoffs

Análise Univariada em SQL: o objetivo deste projeto é utilizar os dados atuais acerca das demissões nas áreas de tecnologia de várias empresas para praticar o uso da linguagem SQL (Standard Query Language) para análise de dados.

Language: Jupyter Notebook - Size: 847 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

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

MoinDalvs/Learn_EDA_for_Data_Science

Univariate, Bivariate and Multi-variate Analysis

Language: Jupyter Notebook - Size: 443 KB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

keenan-cooper/Marketing-Analytics-for-a-Food-Delivery-Platform

Udacity - Data Analyst Nanodegree - Project 5 - Data Visualization

Language: HTML - Size: 7.5 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.81 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1

nitishkthakur/selfplot

A python package with standard data visualization functions with reasonable defaults for use in Exploratory Data Analysis and Model Diagnostics.

Language: HTML - Size: 6.4 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.54 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 1 - 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

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.

Language: Jupyter Notebook - Size: 8.09 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 1

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.

Language: Jupyter Notebook - Size: 1.34 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

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

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.

Language: HTML - Size: 144 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1

tcarlos87/Data-science-Portfolio

Data science solutions

Size: 8.79 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Mahitej28/Analysis-of-AMEO-Dataset

Performing Exploratory Data Analysis of a Dataset

Language: Jupyter Notebook - Size: 4.49 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 1 - 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

Mukul-kush/Bank-Marketing-Case-Study

Bank of Corporate Case Study

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

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

Language: Jupyter Notebook - Size: 4.16 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

greghor/tprojection

Visualize the relation between a dependent variable and any feature in a meaningful way

Language: Python - Size: 1.26 MB - Last synced at: 1 day ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

himanshu0195/Zomato-EDA

Exploratory Data Analysis on Zomato Data

Language: Jupyter Notebook - Size: 12.8 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

pradeepdev-1995/Feature-Selection-Techniques

Feature selection techniques in machine learning is a process of automatically or manually selecting the subset of most appropriate and relevant features to be used in model building. Here we are taking a machine learning regression problem and shows the different steps in feature selection process

Language: Jupyter Notebook - Size: 1.89 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Maruthi18/World-Economic-Indicator-Data-analysis

How Country's GDP/Capita depends

Size: 7.8 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

MahalakshmiAdabala/Predicting-Term-Deposit-Subscription

Predictive Bank Marketing Campaigns Analysis

Language: Jupyter Notebook - Size: 1.05 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

renatokano/cn-pulsar-star-challenge

[Codenation] Explore the main functions of probability distributions such as PDF, CDF and quantiles, and the relationships between normal and binomial distributions. We will also explore the 'Pulsar Star' data set provided by Dr. Robert Lyon (University of Manchester).

Language: Jupyter Notebook - Size: 860 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

ousmal/Openclassrooms_Projet2_app_sant-

Application pour la santé publique France

Language: Jupyter Notebook - Size: 4.39 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

ash-deol/EDA-Mini-Project

Dataset recording people to invest in each other in a way that is financially and socially rewarding. On loans, borrowers list loan requests between $ 2,000 and $ 35,000, and individual investors invest as little as $ 25 in each loan listing they select. Prosper handles the servicing of the loan on behalf of the matched borrowers and investors. Few more different questions were also included in that mini-project not based on a summary.

Language: Jupyter Notebook - Size: 394 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

MoinDalvs/Learn_Visualization_on_Matplotlib

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 exist as a function in the pyplot module and vice versa. Mostly, you’ll use the functions of the pyplot module because they’re much cleaner, at least for simple plots!

Language: Jupyter Notebook - Size: 354 KB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

Paras-bakshi/EDA-on-IRIS-Dataset

Exploratory Data Analysis on IRIS Dataset

Language: Jupyter Notebook - Size: 437 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 2

SandhiyaKumar-18/Univariate-Analysis-Bar-chart

In this repo Univariate Analysis Using Bar plot Explained

Language: Jupyter Notebook - Size: 2.62 MB - Last synced at: 9 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

sandipanpaul21/EDA-in-Python

Exploratory Data Analysis Theory and Python Code

Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

kshitij-raj/Lending-Club-Analysis

Analysis to understand the driving factors (or driver variables) behind loan default.

Language: Jupyter Notebook - Size: 10.6 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

tanish36/Tensorflow-Projects

TensorFlow Projects

Language: Jupyter Notebook - Size: 16.2 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

Usama-Tariq/Udacity_Communicat-Data-Findings_Project-5_DAND

Performed an exploratory data analysis using python and presented explanatory plots that convey insights of data.

Language: HTML - Size: 1.21 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.39 MB - Last synced at: 9 months ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1

ag-ds-bubble/GIDS-2020-Time-Series-Forecasting-Workshop

Time Series Forecasting - Workshop Material @ GIDS-2020

Language: Jupyter Notebook - Size: 89.4 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

Abhishek20182/Communicate-Data-Findings

Udacity Data Analyst Nanodegree - Project V

Language: HTML - Size: 1.38 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 3

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

abhikumar22/Exploratary-Data-analysis-on-Habermans_Cancer-Survival-DataSet

Here, we are doing to perform exploratory data analysis on haberman survival dataset by applying various techniques like univariate analysis, bivariate analysis etc

Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

KarimDaBoss/Predicting-Pneumonic-Plague-Dynamics-with-Google-Search-Trends

This project combines weekly epidemiological case counts of pneumonic plague in Madagascar (Aug–Nov 2017) with Google Trends data for related search terms to explore how online interest tracks—and even predicts—disease spread.

Language: Jupyter Notebook - Size: 1020 KB - Last synced at: about 18 hours ago - Pushed at: about 19 hours ago - Stars: 0 - Forks: 0

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).

Language: R - Size: 21 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

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

Size: 1000 Bytes - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Marlyn-Mayienga/Predicting-Pneumonic-Plague-Dynamics-with-Google-Search-Trends

This project combines weekly epidemiological case counts of pneumonic plague in Madagascar (Aug–Nov 2017) with Google Trends data for related search terms to explore how online interest tracks—and even predicts—disease spread.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 2.25 MB - Last synced at: 18 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ArtZaragozaGitHub/PY--P1_FoodApp

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

Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

GusmaoJB/GusmaoJB

Ecology and Data Science

Size: 11.7 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

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

Language: Jupyter Notebook - Size: 27.4 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

DataBells/customer_segmentation_clustering

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

Language: Jupyter Notebook - Size: 1.04 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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

Language: Jupyter Notebook - Size: 860 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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

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.

Language: Jupyter Notebook - Size: 9.24 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 925 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

prneidhardt/Python-Foundations

FoodHub Project

Language: Jupyter Notebook - Size: 1.86 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 1

shyammanikandan/Aerofit_Business_Case_Study

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

Language: Jupyter Notebook - Size: 2.64 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

shyammanikandan/Credit_Risk_Analysis

Credit Risk Analysis on bank details and credit data

Language: Jupyter Notebook - Size: 1.25 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

vaishali071017/Netflix-Data-Exploration-and-Visualisation

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

Language: Jupyter Notebook - Size: 671 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 672 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

saranya-ponnarasu/Predictive_Lead_Scoring_for_Edtech

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

Language: Jupyter Notebook - Size: 2.21 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

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

Language: Jupyter Notebook - Size: 95.7 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

AliHaider5577/DataScience_Salaries_2023_EDA

Exploratory Data Analysis of Data Science Salaries 2023 dataset from Kaggle

Language: Jupyter Notebook - Size: 414 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

arnabberawork/LendingClubCaseStudy

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

Language: Jupyter Notebook - Size: 22.7 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

vaishali071017/Yulu-Hypothesis-Testing

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

Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

vaishali071017/Walmart-Confidence-Interval-and-CLT

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

Language: Jupyter Notebook - Size: 842 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - 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.

Language: Jupyter Notebook - Size: 248 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.41 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Siddhu-T/Walmart-Business-Case

Business Case: Walmart - Confidence Interval and CLT

Language: Jupyter Notebook - Size: 7.22 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

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

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

pgrondein/nutrition_app_feasibility

Feasibility of a nutritional assessment application

Language: Jupyter Notebook - Size: 1.68 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

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

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.

Language: HTML - Size: 805 KB - Last synced at: 8 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

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

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.

Language: HTML - Size: 943 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0