Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models, KDD 2023

Exemplary, annotated machine learning pipeline for any tabular data problem.

Comparison of various data imputation methods

Imputation of Missing Data in Tables

Repository for paper 'Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns'.

Research code for the paper "A Benchmark for Data Imputation Methods".

Jointly characterizing epigenetic dynamics across multiple cell types

Baseline to compare the performance of different models with sepsis data from MIMIC-III database

I introduce the basic idea and implementation of 5 imputation approaches. In short, filling with a single value works well for a shorter period of missing values. MICE should be one of your first choices if the missing data is relatively long. It is explicitly designed for imputation tasks and can effectively learn data patterns.

When signaficant amount of data in highly-important features are missing, what can we do? Impute the missing data with mean or median? In this Juyter notebook, I demonstrate embedding a XGBoost model to do the data imputation in the data transformer.

In this project, I analyze, plot and clean Tanzania's Water Pump Dataset, which is provided by DrivenData.org for a competition.

A library for synthetic missing data generation.

A beginner level Machine Learning pipeline covering all basic steps.

LASSO and Boosting for Regression on Communities and Crime data

Repository for the FAO-OECD fishery and aquaculture employment data imputation tool.

[Nature-SR'22] DINI: Data Imputation using Neural Inversion

Data imputation and feature reconstruction using deep learning

Post Graduation Major Project