Detailed implementation of various regression analysis models and concepts on real dataset.
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Updated
Jan 15, 2024 - Jupyter Notebook
Detailed implementation of various regression analysis models and concepts on real dataset.
XeroGraph is a Python package developed for researchers and data scientists to analyze, visualize and impute missing data in datasets.
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.
Bayesian Statistics
Utilising a publicly-available and small dataset of ~5K patients from Kaggle, to practice health data analysis.
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.
Detailed implementation of various time series analysis models and concepts on real datasets.
This repository includes a small project that includes main ML topics as a reference.
Analyzing Demand Drivers for Yulu's Micro-Mobility: A Hypothesis Testing Study
Classroom and assignments codes for Quantitative Finance (2020, FGV-EMAp).
Notebooks explaining various Machine Learning concepts.
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