A Python package develop for transportation spatio-temporal big data processing, analysis and visualization.

Implements an entire machine learning pipeline to train and evaluate a Random Forest Classifier on labeled gait data for walking. Data generated during the experiment has led to helpful insights in to the problem domain.

Code for PerCom paper 'Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices'

Dynamic Data-set preparation for audio, video, images

Maching Learning Project : A classification problem using K Nearest Neighbor(KNN), Decision Tree, Support Vector Machine, and Logistic Regression algorithms

Tugas akhir saat saya melakukan virtual internship ID/X pada laman rakamin

Exercises related to data preprocessing and cleaning

Machine Learning Algorithm to predict the House prices.

Customer Segmentation using Clustering Algorithms