supervised-machine-learning
There are 1077 repositories under supervised-machine-learning topic.
greyhatguy007/Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
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
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
cda-tum/mqt-predictor
MQT Predictor - A MQT 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.
sohansai/machine-learning-andrew-ng
This repository contains codes of Andrew Ng's course Machine learning
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
MauroCE/PythonBRMLtoolbox
Python 3.7 version of David Barber's MATLAB BRMLtoolbox
rileynwong/spotify-analysis
Data analysis on my monthly playlists
autistic-symposium/ml-ai-agents-py
👾 resources and experiments for autonomous agents (e.g., language models, reinforcement learning, energy based models)
MarkusFerdinandDablander/QSAR-activity-cliff-experiments
Exploring QSAR Models for Activity-Cliff Prediction
yashksaini-coder/Multi-Class-Prediction-of-Obesity-Risk
Multi-Class Obesity Risk Prediction Project | Prediction of obesity risk in individuals using various factors, which is related to cardiovascular disease.
yashksaini-coder/Multivariate-Logistic-Regression---Telecom-Churn
Building a logistic regression model for telecom churn prediction, utilizing 21 customer-related variables to predict whether a customer will switch to another telecom provider or not.
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.
Mohshaikh23/Dynamic-Pricing-Strategy
Adjusting the prices of a product or service based on various factors in real time
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.
zzf495/Reimplementation-of-Attractive-Feature-Selection-and-Clustering-Methods
This repository integrates the codes for some feature selection & clustering methods.
jcsobrino/TFM-Analisis_sentimientos_Twitter-UOC
TFM - Análisis de sentimientos en Twitter
LeihuaYe/Machine-Learning-Rare-Event-Classification
With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?
yashksaini-coder/Advertising-Sales-Prediction
Building a Logistic regression model for the prediction of Sales and implementing it in a web app based on Python 🐍
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