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

Fit many probability distributions from SciPy to asset returns and rank them.

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

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

Проведение A/B-теста для интернет-магазина

Comparison of A/B Test and Conversion of Bidding Methods

https://gulinan.github.io/mat244e/

Estimating the distance of clusters by analysing Gaia data

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.

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

NU Bootcamp Project 1 (Modules 7 & 8)

Statistical Measures in Python - Age and Salary Analysis

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.

A comprehensive collection of Python programs demonstrating statistical analysis, data manipulation, and machine learning techniques. This repository contains 12 programs covering various statistical concepts and implementations.

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

Rating Product & Sorting Reviews in Amazon

Predicting transaction fraud using classification problems such as Guardian Boosting as well as user interfaces using Streamlite, Accuracy: 98% AUC-ROC

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.

Whether or not a customer stays on the platform through machine learning classification

Assignment 2 Set 2

Data-oriented Python course taught for all Mercado Libre verticals

Utility functions for creating interactive marimo components with scipy distributions.

Mini-projects

The purpose of this project was to compare the performance of Pymaceuticals’ drug of interest, Capomulin, against the other treatment regimens.

A Collection of Bayes Classifiers

This is QA-Stocks, an app that tries to predict stocks using SciPy!