There are 4 repositories under scipy-stats topic.
Minimalist Data Wrangling with Python (Open-Access Textbook)
Stats, linear algebra and einops for xarray
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."
Predicting how much loan will be approved
This repo contains projects, tasks and other code which I have developed on a Data Scientist course at SkillFactory.
HISDAC-ES: Creating historical settlement data for Spain (1900-2020) based on cadastral building footprint data
Comparison of A/B Test and Conversion of Bidding Methods
NU Bootcamp Project 1 (Modules 7 & 8)
A F&B manager wants to determine whether there is any significant difference in the diameter of the cutlet between two units. A randomly selected sample of cutlets was collected from both units and measured? Analyze the data and draw inferences at 5% significance level. Please state the assumptions and tests that you carried out to check validity of the assumptions.
Rating Product & Sorting Reviews in Amazon
Estimating the distance of clusters by analysing Gaia data
python code for extracting data from csv file , using Matlab plot and seaborn Libraries
Data-oriented Python course taught for all Mercado Libre verticals
Assignment 2 Set 2
The objective is to build a ML-based solution (linear regression model) to develop a dynamic pricing strategy for used and refurbished smartphones, identifying factors that significantly influence it.
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.
Python ile basit derecede veri istatistiği yapmak için bu repo oluşturuldu.
Тестирование новой механики оплаты услуг на сайте. Разработка функций для расчета показателей на основе дополнительных данных.
At Chicago's fresh ride-sharing start-up Zuber, my role as an analyst led me on an exciting journey through data. I dived into passenger preferences and explored how weather shifts painted a unique picture of travel habits.
The purpose of this project was to compare the performance of Pymaceuticals’ drug of interest, Capomulin, against the other treatment regimens.
To perform hypothesis testing to find out the variables that are significant in predicting the demand for shared electric cycles in the Indian market
📔 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.
NLP_Online_Accoso_on_Line
Analyzing smartphone specifications data extracted from GSMarena for insights into market trends, brand preferences, and technological advancements. Includes data extraction scripts, database storage, statistical analysis, and visualization tools.
A Python program to analyze the global average sea level since 1880, and predict the sea level growth at 2050.
Group training project involving analysis of various aspects involving students in Python (Pandas, Matplotlib etc.)
Michigan State University Data Analytics Project 1
Assignment Basic Stats
Assignment Advance Stats
Hypothesis Testing
Simple Linear Regression