Software designed to identify and monitor social/historical cues for short term stock movement

Text Classification Algorithms: A Survey

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.

Simple machine learning library / 簡單易用的機器學習套件

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can…

Python Machine Learning Algorithms

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

Geolocating twitter users by the content of their tweets

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

implement the machine learning algorithms by python for studying

Statistical inference on machine learning or general non-parametric models

Python implementation of stochastic sub-gradient descent algorithm for SVM from scratch

ML algorithms from scratch

The uploaded codes help to classify emails into spam and non spam classes by using Support Vector Machine classifier.

Spam filtering module with Machine Learning using SVM (Support Vector Machines).

Example of Machine Learning application: State of Charge estimation of a battery using SVR

Modelling Big Five Personality Inventory using Machine Learning algorithms

NTHU EE6550 Machine Learning slides and my code solutions for spring semester 2017.

We have used our skill of machine learning along with our passion for cricket to predict the performance of players in the upcoming matches using ML Algorithms like random-forest and XG Boost