Minimalist Data Wrangling with Python (Open-Access Textbook)
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Updated
Jun 2, 2025
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.
Data Analysis, training Machine Learning models, and Model Evaluation and Refinement for LaptopPricing dataset.
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
Estimating the distance of clusters by analysing Gaia data
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 validit…
An interactive Streamlit web app to explore, visualize, and compare historical immigration data across countries.
Statistical Measures in Python - Age and Salary Analysis
Rating Product & Sorting Reviews in Amazon
Predicting transaction fraud using classification problems such as Guardian Boosting as well as user interfaces using Streamlite
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.
Data-oriented Python course taught for all Mercado Libre verticals
This is QA-Stocks, an app that tries to predict stocks using SciPy!
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