A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

pca: A Python Package for Principal Component Analysis.

RADseq Data Exploration, Manipulation and Visualization using R

This project aims to predict online shoppers' purchase intentions using browsing history and user data from e-commerce sites. By analyzing clickstream and session information, the goal is to create a machine learning model that accurately forecasts customers' likelihood of making a purchase.

The HotellingEllipse package helps draw the Hotelling's T-squared ellipse on a PCA or PLS score scatterplot by computing the Hotelling's T-squared statistic and providing the ellipse's x-y coordinates, semi-minor, and semi-major axes lengths.

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

Fifteen observations of the vertical semidiameter of Venus, made by Lieutenant Herndon, with the meridian circle at Washington, in the year 1846.

🔗 Methods for Correlation Analysis

To perform exploratory data analysis and visualization on a dataset containing customer information, to identify potential target customers for the bank’s future marketing campaign.

ELKI Data Mining Toolkit

Labeled wireless sensor network data set collected from a multi-hop wireless sensor network deployment using TelosB motes.

Labeled wireless sensor network data set collected from a simple single-hop wireless sensor network deployment using TelosB motes.

Contains R codes for processing and analyzing data for Great Lakes Cladophora work

RoBTT R package for estimating robust Bayesian t-test

This repository houses an interactive flex dashboard on outlier analysis. It accompanies a presentation on the same topic.

A speed dating analysis

Exploratory Data Analysis (EDA) on a dataset from Kaggle

This is an example of data cleaning, this project uses Jupiter Notebook and Python

Assignment Advance Stats

Content: Eliminating Outliers using Boxplot, Checking correlation using Scatter plot & Heat map, Types of Correlation, EDA, Data preprocessing