supervised-machine-learning

xiamx/awesome-sentiment-analysis

😀😄😂😭 A curated list of Sentiment Analysis methods, implementations and misc. 😥😟😱😤

vikasverma1077/manifold_mixup

Code for reproducing Manifold Mixup results (ICML 2019)

EmilHvitfeldt/smltar

Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge

juliasilge/supervised-ML-case-studies-course

Supervised machine learning case studies in R! 💫 A free interactive tidymodels course

Goekdeniz-Guelmez/mlx-lm-lora

Train Large Language Models on MLX.

YangFangShu/FCNVMB-Deep-learning-based-seismic-velocity-model-building

Deep-learning inversion: A next-generation seismic velocity model building method

shantanu1109/Coursera-DeepLearning.AI-Stanford-University-Machine-Learning-Specialization

This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.

sharmapratik88/AIML-Projects

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

lucylow/Deep-Learning-Mahjong---

Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states

Ashleshk/Machine-Learning-A-Z-hands-on-Python-And-R-in-data-Science

Repository For Codes And Concept Taught in Udemy Course

munich-quantum-toolkit/predictor

MQT Predictor - A Tool for Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing

harismuneer/Handwritten-Digits-Classification-Using-KNN-Multiclass_Perceptron-SVM

🏆 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.

AmirAli5/Machine-Learning

In this repo, all about Machine Learning and I covered both Supervised and Unsupervised Learning Techniques with Practical Implementation. Everything from scratch and I solved a lot of different problems with different Machine Learning techniques either related to Healthcare, E-commerce, Sports, or Daily Business Issues.

SudhakarKuma/Machine_Learning

A repository of resources for understanding the concepts of machine learning/deep learning. 

ExcViral/adaptive-forex-forecast

An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms

theakshaydas/PGP-AIML

Repo for AIML case studies and projects

KAN-Team/Careium-AI

Careium is an AI android application to help in having a long well-healthy life. Helps in tracking eaten food, ingredients, and nutrients. Careium has the advantage of estimating food ingredients, by getting food images using the mobile camera or uploading a pre-captured image to the application, resulting in related info of it such as Food’s Nutrition Components.

anishsingh20/Statistical-Learning-using-R

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

msultan/SML_CV

Using supervised machine learning to build collective variables for accelerated sampling

tajamulkhann/Machine-Learning-Projects

Your one-stop shop for machine learning projects, tips, and notes – because learning should be accurate, not overfitted!

MauroCE/PythonBRMLtoolbox

Python 3.7 version of David Barber's MATLAB BRMLtoolbox

rileynwong/spotify-analysis

Data analysis on my monthly playlists

cypherpunk-symposium/desci-ai-experiments-py

👾 resources for DeSci + AI experiments: notes, ml, agents, llms, energy based models...

Mohshaikh23/Dynamic-Pricing-Strategy

Adjusting the prices of a product or service based on various factors in real time

MarkusFerdinandDablander/QSAR-activity-cliff-experiments

Exploring QSAR Models for Activity-Cliff Prediction

Hameem1/Step-Detection-using-Machine-Learning

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.

jcsobrino/TFM-Analisis_sentimientos_Twitter-UOC

TFM - Análisis de sentimientos en Twitter

zzf495/Reimplementation-of-Attractive-Feature-Selection-and-Clustering-Methods

This repository integrates the codes for some feature selection & clustering methods.

nmacia/dcol

The data complexity library, DCoL, is a machine learning software that implements all metrics to characterize the apparent complexity of classification problems. The code is implemented in C++ and can be run on multiple platforms.

LeihuaYe/Machine-Learning-Rare-Event-Classification

With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?

ahmedhamdi96/ML4T

Machine Learning for Trading

juliasilge/caret-ML-course

Supervised machine learning case studies with caret in R! 🌟 A free interactive course

KwokHing/SentimentAnalysis-Python-Demo

Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the performance of both lexicon & machine-learning based models

LaxmiChaudhary/Modeling-of-strength-of-high-performance-concrete-using-Machine-Learning

arasgungore/Keyword-Search-for-Sign-Language

Senior design project titled "Keyword Search for Sign Language" for the Special Project (EE 491-492) courses offered by Boğaziçi University.