GitHub topics: scipy-stats | Ecosyste.ms: Repos

YousefMohammad/Manova_Model

using Multiple Analysis of Variance (MANOVA) for estimating different means of species of flower in iris dataset

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Qayslanewala/Unveiling-PCOS

Data Driven approach to get insights about PCOS

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tmoesl/customer-demand-analysis

This project analyzes transactional data from a food delivery app to generate insights that optimize operations, enhance customer satisfaction, and drive sustainable growth, measured by GMV, AOV, CSAT, and other key metrics.

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OnlineBunker/global-immigration-dashboard

An interactive Streamlit web app to explore, visualize, and compare historical immigration data across countries.

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arviz-devs/xarray-einstats

Stats, linear algebra and einops for xarray

Language: Python - Size: 6.62 MB - Last synced at: 4 days ago - Pushed at: 8 days ago - Stars: 67 - Forks: 7

Jabulentee/Measuring-Effect-Sizes-in-Experimental-Data

This project focused on measuring the magnitude of differences between groups in experimental or observational data. While statistical significance tells whether a difference exists, effect size shows how big or meaningful that difference is.

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Jabulentee/A-B-Testing-for-Marketing-Campaign

This repository contain project focused on evaluating the effectiveness of two different marketing strategies (Campaign A and Campaign B) to determine which one yielded better conversion rates.

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sorna-fast/fraud-detection

Predicting transaction fraud using classification problems such as Guardian Boosting as well as user interfaces using Streamlite

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mauriceling/sipy

Python-Based Statistical Graphical User Interface for Python

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gagolews/datawranglingpy

Minimalist Data Wrangling with Python (Open-Access Textbook)

Size: 300 MB - Last synced at: 24 days ago - Pushed at: 25 days ago - Stars: 80 - Forks: 4

Naidu-DS-2026/Loan-Approval-Prediction-System-Using-Machine-Learning

This project is designed to assist financial institutions in automating the loan approval process. Using historical data from previous applicants, we train various machine learning models to accurately predict whether a loan application should be approved or rejected. The objective is to build a robust classification model that can identify high-r

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Jabulente/effects-size-measurements

This repo implements scalable, reusable Python scripts to compute key effect size metrics—including Pearson’s r, Eta-squared, Partial Eta-squared, and Cohen’s d—to help quantify relationships and differences in data for statistical analysis.

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helios12/DataScienceProjects

This repo contains projects, tasks and other code which I have developed on a Data Scientist course at SkillFactory.

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Jabulente/Correllation-Analysis-Using-Python

A Python project analyzing variable relationships using Pearson, Spearman, and Kendall correlations, with statistical summaries and visualizations (heatmaps, scatter plots, pair plots). Includes dataset exploration

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sorna-fast/Weather-forecasting-with-machine-learning

A dataset of meteorological sensors with data cleaning and finding the best learning model for forecasting

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burhanahmed1/VehicLens

Comprehensive automobile attribute prediction framework combining EDA, grid-searched polynomial regression, and ridge regularization to maximize predictive accuracy across diverse vehicular features.

Language: Jupyter Notebook - Size: 459 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

Jabulente/Kruskal-Wallis-Using-Python

A simple Python implementation of the Kruskal-Wallis H-test to compare medians across three or more independent groups. Ideal for non-parametric analysis when data is not normally distributed. Includes example datasets, statistical interpretation, and optional post-hoc analysis.

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semasuka/Loan-amount-prediction-regression

Predicting how much loan will be approved

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Wb-az/AI-Performance-Analytics-LLMs

This repository is created to compared foundational models at different task, using visualisation and statistics.

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BALAJI24092001/Python

All python related content: notes, problems, progress archive.

Language: Python - Size: 14.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

FabianaCampanari/PracticalStats-PUCSP-2024

Statistical Measures in Python - Age and Salary Analysis

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priyanshubiswas-tech/Data-Analysis-With-Python

This repository showcases Python projects completed for a Data Analysis with Python certification, demonstrating skills in data manipulation, visualization, and statistical analysis using libraries like NumPy, Pandas, Matplotlib, Seaborn, and SciPy.

Language: Python - Size: 30.3 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

burhanahmed1/LaptopPricing-MachineLearning-Analysis

Data Analysis, training Machine Learning models, and Model Evaluation and Refinement for LaptopPricing dataset.

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CamilaJaviera91/apache-beam-pipeline-first-approach

This code demonstrates how to integrate Apache Beam with scikit-learn datasets and perform simple data transformations. It loads the Linnerud dataset from scikit-learn, converts it into a Pandas DataFrame for easier manipulation.

Language: Python - Size: 608 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

ankit-verma2000/Walmart-CI-and-CLT

Walmart is a multinational retail corporation that operates a chain of supercenters, discount departmental stores, and grocery stores in the United States.I analyzed customer purchase behavior for Walmart Inc., focusing on spending patterns across gender during Black Friday. Using a dataset of 50 million customers,

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edcr09/Mobile_carrier_tariff_analysis

DA-4 Proyecto de análisis de tarifas de operador movil

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VarakanthamSaiHruthikReddy975/AvocadoPricesAnalysis

This data analysis finds out the trends and analysis of avocado data by year

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aymanmomin/Facebook-Ego-Network-Analysis-for-Political-Outreach-Optimization

Analyzing Facebook ego networks to identify influential users and communities for optimizing political advertising. Leverages network science techniques (Louvain communities, centrality metrics, threshold models) to simulate influence spread.

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CaritoRamos/sampling-program-in-python

A Python-based tool for simple and stratified sampling of *CREDITOS MI VIVIENDA* data, featuring a Tkinter GUI for easy data selection and visualization.

Language: Python - Size: 311 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

MajorLift/volatility-modeling-python-datasci

Undergraduate thesis, Seoul National University Dept. of Economics — "Modeling Volatility and Risk Spillover Between the Financial Markets of US and China Using GARCH Value-at-Risk Forecasting and Granger Causality."

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JoshD898/CarbonTax

A secondary analysis of the TISP dataset

Language: Python - Size: 23.8 MB - Last synced at: 26 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Sharkb8t/Matplotlib_challenge

Demonstration of my abilities to utilize the Matplotlib and Pandas libraries with Python to perform data analysis on a set of Pharmaceutical data.

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AubainMbk/Analyse-des-ventes-d-une-entreprise

Nous repondrons aux besoins d'une société en analysant ses ventes à travers le langage Python.

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armahdavi/data_analytics_statistics_plotting_pm_airborne_sampling

All codes for the data pipelines processing, statistical modellings, descriptive statistics and plot visualizations from airborne phase of Mahdavi et al. (2021) (Environmental Pollution) Project Miestone: 2018 - 2021

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armahdavi/data_pipeline_analytics_statistics_ML_PM_PSD_residential_QFF

Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782

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armahdavi/analytics_statistics_ML_plotting_dust_extraction_hvac_filters_ph2

PhD Technical Paper 1 - Phase 2 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available

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naninsv/yulu-bike-rental-analysis

Assisting Yulu, India's micro-mobility provider, in understanding factors influencing shared electric cycle demand. Employing statistical tests and analysis on a dataset to identify significant predictors and gauge their impact on cycle demand.

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quantsareus/s_dist__first_fully_generalized_normal_distribution__scipy_stats_extension_package

Fully generalized normal distribution. Flexible in kurtosis and skewness at the same time. Generalized gaussian

Language: Python - Size: 14.9 MB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

Gurpreet0022/Unveiling-PCOS

Data Driven approach to get insights about PCOS

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jacekkala/statistics_hypothesis_testing

Statistics & Hypothesis Testing in Python

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cescedes/notes

various concepts in python

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wrighang/06_python-api-challenge

Module 6: Python APIs

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wrighang/05_matplotlib-challenge

Module 5: Matplotlib

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Carol-Neto/Sprint-4-Statistical-Data-Analysis

In this project I had the opportunity to test my knowledge by analyzing a phone plan and creating graphs to compare the plans and determine which ones generate the most revenue.

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Carol-Neto/Sprint-9-Making-Data-Driven-Business-Decisions

In this project I evaluate hypotheses using ICE and RICE and perform A/B testing analysis.

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KasiMuthuveerappan/IVY_League-Admission-LinearRegression

📗 This repository provides an in-depth exploration of the predictive linear regression model tailored for Jamboree Institute students' data, with the goal of assisting their admission to international colleges. The analysis encompasses the application of Ridge, Lasso, and ElasticNet regressions to enhance predictive accuracy and robustness.

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Dagny007/Murders-Analysis-Poland

Analysis of the murder incidents in Poland between 1999-2020. Analysis developed in Python.

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sayed-ashfaq/Yulu-HypothesisTesting

In this project, I analyzed Yulu bikes' usage patterns by performing data visualization and applying various hypothesis testing methods. This included statistical tests, chi-square tests, variance testing, QQ plots, and checking for normal distribution to uncover insights related to customer usage and behavior.

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DanteSc03/Analisis-de-la-Produccion-Lechera-de-Granjas-Espanolas

Este repositorio contiene un análisis de regresión sobre la producción lechera de las granjas del norte de España. El proyecto se completo con las librerías de pystata

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myself-aas/Quantium_Data_Analytics_Forage

This project analyzes retail customer chip purchasing behavior using Python, focusing on customer segmentation and key spending drivers to provide data-driven insights for strategic category management recommendations.

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anuhyasuri/gaussiandistribution

This repository contains the code for implementing Gaussian Distribution using Python

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kostadinlambov/Bitcoin-and-Stock-Market-Correlation

This study uses a quantitative research design to analyze the relationship between Bitcoin prices and the stock market over the past five years with the S&P 500 Index serving as a proxy for the stock market.

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Badar-Islam/Yulu

Examined factors influencing demand for micro-mobility shared electric cycles Performed exploratory analysis and hypothesis testing, revealing the distinct influence of weather-season association on hourly counts

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nchakicherla/ucb-dataviz-project1-group7

Project 1 submission completed by group 7 for UCB data analytics and visualization course

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maia-bastos/Estimativas

Projeto de Probabilidades, Amostragem e Estimações com dados reais (IBGE).

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NataliiaShevchenko620/retail-analytics

Retail Analytics in Shopping Malls

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thkox/uni_2023-compression-and-object-removal

This project is a team assignment for the "Multimedia Systems" course, offered in the 6th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.

Language: Python - Size: 225 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 2

KasiMuthuveerappan/FintechCapstone-LoanDefaulters

📗 This repository contains the EDA of loan defaulters, analyzing factors like loan type, ROI, and credit scores. It utilizes Random Forest and XGBoost to clean discrepancies, providing insights to enhance risk assessment and inform lending strategies, making it ideal for financial analysts to mitigate loan default risks.

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Gourav052003/Advanced-Statistical-Hypothesis-Testing-with-SciPy-and-statsmodels

Hypothesis Testing allows professionals to test their theories and assumptions before putting them into action. This Repository includes all the Hypothesis test to validate a statement using Empirical data .

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Niteshchawla/Yulu-HypothesisTesting

Yulu has recently suffered considerable dips in its revenues. They have contracted a consulting company to understand the factors on which the demand for these shared electric cycles depends. Specifically, they want to understand the factors affecting the demand for these shared electric cycles in the Indian market.

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Niteshchawla/Delhivery-FeatureEngineering

The Data team builds intelligence and capabilities using this data that helps them to widen the gap between the quality, efficiency, and profitability of their business versus their competitors.

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SevilayMuni/Project-No.5-XGBoost-RandomForest-ClaimClassification

XGBoost Predictive Model for TikTok's Claim Classification: EDA, Hypothesis Testing, Logistic Regression, Tree-Based Models

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AbdylGaniwu/Hypothesis-Testing-on-Heart-Disease-Data-Project

This project uses statistical hypothesis testing to examine the link between cholesterol and fasting blood sugar levels with heart disease. One-sample t-tests and binomial tests are applied to assess whether these health metrics significantly differ from expected values, focusing on their association with heart disease.

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AbdylGaniwu/Sampling-Distribution-for-Data-Science-Project

This project examines the effectiveness of diabetes treatment plans by assessing changes in HbA1c levels, which indicate blood sugar levels, among patients. Utilizing the concept of sampling distributions, I extrapolate the average HbA1c change observed in a sample to estimate the overall treatment outcomes for the broader population.

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AbdylGaniwu/Poisson-Distribution-Model-for-Analysis

The Poisson distribution is a useful model for analyzing product defects, helping to estimate expected defect rates, their variability, and the likelihood of extreme cases. This understanding aids in enhancing quality control processes and minimizing defects.

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AbdylGaniwu/Utilizing-Poisson-Distribution-for-Retail-Pharmacy-Call-Center-Insights

The Poisson Distribution models the number of events that occur within a specified time frame, such as years. Since the volume of incoming calls fluctuates from year to year, this distribution aids in determining whether the call data aligns with a Poisson process or if external factors are affecting the call volume.

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jorenham/Lmo-web

Visual probability distribution & L-moment playground, using PyScript

Language: Python - Size: 112 KB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

offthetab/NN_homework

Практические работы по нейронным сетям МИРЭА 3 курс.

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ViniciusMassari/regressao_linear_multipla

Prediction of a cholesterol exam based in some features about the patient

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Safo-Samson/Data-Analysis-with-Python

This repository is about Data analysis with Python using libraries such as Pandas, Matplotlib, Seaborn, and NumPy to analysis prices of properties in given areas to predict future prices.

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zborovskaanna/ad-ab-test-analysis

Analysis of Ad AB Test results using Python. Conducted comprehensive data analysis, including sanity checks, to evaluate ad campaign performance and derive key insights

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LeftCoastNerdGirl/Presenting_Your_Data Fork of Celestee92/Group-5-Project

This group project demonstrated the ability to collaborate effectively and present data clearly.

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LeftCoastNerdGirl/Presenting_ML_Data Fork of guzznag/Project_4

This capstone project demonstrated the ability to collaborate on a presentation of data using Machine Learning techniques.

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LeftCoastNerdGirl/Interactive_Visualizations Fork of jasleen1589/Urbanization_Project

This group project demonstrated the ability to collaborate to analyze data and prepare interactive visualizations.

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armahdavi/analytics-data-pipelines-statistics-plotting---dust-extraction-hvac-filters---phase-1

PhD Technical Paper 1 - Phase 1 - Mahdavi & Siegel (2020) (Aerosol Science & Technology; AS&T) - Sharing all the data pipelines, processing codes, descriptive statistics, statistical modellings, and plotting/visualizations - Project Miestone: 2017 - 2020 - Full-length article is available

Language: Jupyter Notebook - Size: 2.05 MB - Last synced at: 4 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

5hraddha/interconnect

Interconnect : Clients Churn Prediction using ML

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LeftCoastNerdGirl/Matplotlib_and_NumPy

This project applies lessons using Matplotlib and Numpy

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yashika-malhotra/MicroMobility-Service-Provider---Hypothesis-Testing

Examined factors influencing demand for micro-mobility shared electric cycles Performed exploratory analysis and hypothesis testing, revealing the distinct influence of weather-season association on hourly counts

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klharp/Matplotlib

Used MatplotLib to compare the performance of a drug of interest versus other treatment regimens.

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KasiMuthuveerappan/Delhivery-FeatureEngineering

📔 This repository of Delhivery's logistical endeavors, emphasizing the utilization of data processing, feature extraction, and hypothesis testing methodologies, A meticulous comparison analysis of ACTUAL vs OSRM time-distance metrics, we unveil intricate patterns, providing invaluable insights and metrics for decision-making with precision.

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sultanazhari/Game-Trend

Ice as a online store Video Games want to know a new trend of video game to help them prepare a video games which is more profitable to sell. As a data Analyst we're giving a trend of video game by genre, platform, console and the others clasification.

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Niteshchawla/NC-Walmart-CaseStudy

The Management team at Walmart Inc. wants to analyze the customer purchase behavior (specifically, purchase amount) against the customer’s gender and the various other factors to help the business make better decisions. They want to understand if the spending habits differ between male and female customers:.

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Mgobeaalcoba/padawan_python_course

Data-oriented Python course taught for all Mercado Libre verticals

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vikramtalware/Data-Projects-Python

Data Analysis, Statistical Analysis and Data Visualizations in Python

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amorim-dev/DSA_Data-Science-Course

Data Dcience Education in Data Science Academy. The course is in Portuguese and online.

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Karan-Viswakarma/BCS5-Yulu

To perform hypothesis testing to find out the variables that are significant in predicting the demand for shared electric cycles in the Indian market

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JulianChia/lowerboundSARSCOV2

Manuscript, source codes and data sets on estimating Singapore’s lower-bound SARS-CoV-2 Infection Trend In 2020.

Language: Python - Size: 11.4 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1

KasiMuthuveerappan/Yulu_HypothesisTesting

📘This repository provides a detailed exploration of `Yulu` Bike rentals data using Hypothesis testing, employing statistical techniques, we delve into the nuances of customer behavior, E-bikes rental patterns offering insights & key metrics to enhance understanding and inform strategic decisions

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jojolebarjos/distribution-pandas-dtype

Pandas extension dtypes for statistical distributions

Language: Python - Size: 13.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

weichi21/Hypothesis-Testing

Hypothesis Testing, Bootstrap Sampling

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prashhhant213/Exploratory-Data-Analysis-for-Multinational-Retail-Corporation

Analysis via CLT and Visualization on Multinational Retail Corporation's data to provide insights and recommendations to improve their userbase.

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rocco-pio-mastropietro/Sea_Level_Predictor

In the Data Analysis with Python Certification, I learned the fundamentals of data analysis with Python. By the end of this certification, I known how to read data from sources like CSVs and SQL, and how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data.

Language: Python - Size: 113 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0