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.

Jointly characterizing epigenetic dynamics across multiple cell types

A beginner level Machine Learning pipeline covering all basic steps.

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

Code and Datasets for the paper "Identifying Sepsis Subphenotypes via Time-Aware Multi-ModalAuto-Encoder", published on KDD 2020.

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

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

Imputation of Missing Data in Tables

Imputation methods aim to estimate the missing values based on the available information in the dataset.

Comparison of various data imputation methods

[KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"

Data and Information Quality project held at Politecnico di Milano (a.y. 2022/2023)

Research on machine learning, deep learning, and ensemble methods in imbalanced fraud and anomaly detection scenarios.

Performing Exploratory Data Analysis on LendingClub Dataset

Intermediate Machine Learning Course By Kaggle

Basic ML Algorithm that uses advanced regression techniques to predict the price of a house

Data imputation is used when there are missing values in a dataset. It helps fill in these gaps with estimated values, enabling analysis and modeling. Imputation is crucial for maintaining dataset integrity and ensuring accurate insights from incomplete data.