[ICLR 2022] Graph-Relational Domain Adaptation

ICML 2018: "Adversarial Time-to-Event Modeling"

PyTorch implementation of 'Concrete Dropout'

Tutorials for MATH 4432 Statistical Machine Learning, HKUST, Fall 2022

Compare Naive Bayes, SVM, XGBoost, Bagging, AdaBoost, K-Nearest Neighbors, Random Forests for classification of Malaria Cells

This repository contains assignments solutions for one of my postgraduate subjects of COMP SCI 7314 - Introduction to Statistical Machine Learning. The programming language is Python.

Official implementation of Renyi Neural Processes (ICML 2025)

CSE 575 Statistical Machine Learning

A comprehensive machine learning analysis of hotel data scraped from Booking.com in Ho Chi Minh City, Vietnam. This project leverages various ML techniques to extract insights from hotel reviews, images, and metadata to provide actionable intelligence for the hospitality industry.

IEEE TNNLS 2020: "Calibration and Uncertainty in Neural Time-to-Event Modeling"

machine learning is a combination of statistics,computer science and mathematics. It uses a lot of statistical tool and mainly a lot of interpretation terms are adapt from statistics .So here I will add little but important concepts of statistics in ML.

Analyzing the binary gender difference in lead roles using statistical machine learning

Conversational Lexical Affect Recognition Kit

Python implementation of Bayesian Online Changepoint Detection, Adams, R. P., & MacKay, D. J. C. (2007)

Análise de dados aplicada a transações comerciais para geração de insights estratégicos e apoio à tomada de decisão / Data analysis applied to commercial transactions to generate strategic insights and support decision-making

Loss J's statistical machine learning course. 🚀

Recognizing the emotion of an speech audio with ConvNet, SVM, KNN and Logistic Regression

Attempting to make Statistics for Machine Learning easy to learn and understand

Code for the paper: LogGENE, A Smooth alternative for the Check Loss

Statistical Machine Learning coursework (Sharif University of technology)

TTIC Statistical Machine Learning

Development and Evaluation of Neural Net Sensitivity-Based Pruning Algorithms Using Statistical Inference

This project aim to build a recommendation system for Steam games. It utilizes different machine learning models including LSTM, ResNet, and NCF (Neural Collaborative Filtering) to predict and recommend games based on user data and interactions.

(50.040) Natural Language Processing

Statistical Machine Learning is a 3xx-level course offered to undergrads at IIIT-Delhi.

A supervised machine learning project where I develop a number of models to classify an individual's income level using census data.

Solutions from Elements of Statistical Machine Learning course at AGH UST. If you use it and it helped you please leave a star ⭐

Assignments of lecture

This repository contains a collection of labs and exercises focused on statistical machine learning concepts for the academic year 2024-2025. Each lab is designed to provide hands-on experience with various statistical methods and machine learning algorithms, enhancing understanding through practical implementation and analysis.

Grimoire Guide is a book recommendation system which leverages statistical machine learning and NLP concepts to recommend the best books to the users. Just provide a plot or description, and it will do the rest of the job for you.