LQR-RRT* method is used for random motion planning of a simple pendulum in it's phase plot

Robot motion planning via "Dynamic Region-biased Rapidly-exploring Random Trees".

Graphs backed by roaring bitmaps

Cusal Inference applied to timeseries, uses an event database to generate a timeseries of the outcome given a sliding window containing events. Useful to add causal outcomes of events into multivariate timeseries forecasting models.

A simple 3D maze, just for fun.

🌳 Generates a unique random tree artwork from a given seed

Random spanning tree “tie-dye”

Classifies if a PE is benign or a malware. If it is found to be a malware, the PE is then classified among different malware classes. Deployed on flask.

Advanced desktop app for sentiment analysis, readability assessment, and ML model training using Spring Boot, Java Swing, and Weka

This program is a small part (some demo part) of big Determinant of Minerals Project!

This is a program which generates a random tree of 'n' nodes

Machine learning project to find out if price of a wheat in Poland depends on a weather.

Implemented four supervised learning Machine Learning algorithms from an algorithmic family called Classification and Regression Trees (CARTs), details see README_Report.

An entry to a kaggle competition

Regression and Classification Using Decision Tree, Random Tree, Bootstrap Aggregating, and Boosting.

Generate random trees (implementation of algorithm 7.2.1.6.R in Knuth's TAOCP)

Machine Learning projects from undergrad.

Applying different algorithms (RandomForest, K-NearestNeighbors and LogisticRegression) to predict Attrition for a fictional company.