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.
XeroGraph is a Python package developed for researchers and data scientists to analyze, visualize and impute missing data in datasets.
Detailed implementation of various regression analysis models and concepts on real dataset.
This repository includes a small project that includes main ML topics as a reference.
This project explores Yulu bike rental data to analyze user demand, seasonal trends, and environmental influences on ride volume. Additionally, hypothesis testing was performed to statistically validate key assumptions regarding rental patterns.
This project performs a detailed time series analysis on NVIDIA Corporation's stock prices over a ten-year period (January 2012 to January 2022). Using R's statistical computing capabilities.
Bayesian Statistics
Utilising a publicly-available and small dataset of ~5K patients from Kaggle, to practice health data analysis.
Notebooks explaining various Machine Learning concepts.
Detailed implementation of various time series analysis models and concepts on real datasets.
Análisis operativo y salud financiera del e-commerce brasileño Olist. Incluye la automatización de la creación de la base de datos en MySQL, validación estadística de estacionalidad (ACF/PACF) y dashboards estratégicos para la optimización logística.
Classroom and assignments codes for Quantitative Finance (2020, FGV-EMAp).
Analyzing Demand Drivers for Yulu's Micro-Mobility: A Hypothesis Testing Study
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