CSE 575 Statistical Machine Learning
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Updated
Apr 23, 2018 - Python
CSE 575 Statistical Machine Learning
TTIC Statistical Machine Learning
ICML 2018: "Adversarial Time-to-Event Modeling"
Compare Naive Bayes, SVM, XGBoost, Bagging, AdaBoost, K-Nearest Neighbors, Random Forests for classification of Malaria Cells
Essential files for pac-bayes-tree
Attempting to make Statistics for Machine Learning easy to learn and understand
A supervised machine learning project where I develop a number of models to classify an individual's income level using census data.
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.
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.
IEEE TNNLS 2020: "Calibration and Uncertainty in Neural Time-to-Event Modeling"
My assignments/project for MATH5470 Statistical Machine Learning
Conversational Lexical Affect Recognition Kit
Python implementation of Bayesian Online Changepoint Detection, Adams, R. P., & MacKay, D. J. C. (2007)
Loss J's statistical machine learning course. 🚀
Code for the paper: LogGENE, A Smooth alternative for the Check Loss
Recognizing the emotion of an speech audio with ConvNet, SVM, KNN and Logistic Regression
Authorship attribution is a task to identify the author of a given document. Our task is to come up with test predictions for an authorship attribution problem given a training set and test inputs.
Solutions from Elements of Statistical Machine Learning course at AGH UST. If you use it and it helped you please leave a star ⭐
Analyzing the binary gender difference in lead roles using statistical machine learning
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