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.
This repository includes a small project that includes main ML topics as a reference.
Bayesian Statistics
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.
Analyzing Demand Drivers for Yulu's Micro-Mobility: A Hypothesis Testing Study
Utilising a publicly-available and small dataset of ~5K patients from Kaggle, to practice health data analysis.
Classroom and assignments codes for Quantitative Finance (2020, FGV-EMAp).
Notebooks explaining various Machine Learning concepts.
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