supervised-machine-learning

There are 50 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
andrew-ng andrew-ng-machine-learning coursera coursera-assignment coursera-specialization decision-trees deep-learning linear-regression logistic-regression machine-learning mooc neural-network python recommendation-system solutions supervised-machine-learning tensorflow unsupervised-learning unsupervised-machine-learning
Language:Jupyter Notebook 2672
xiamx / awesome-sentiment-analysis
😀😄😂😭 A curated list of Sentiment Analysis methods, implementations and misc. 😥😟😱😤
awesome-list deep-learning linguistics machine-learning nlp python sentiment-analysis supervised-machine-learning
909
vikasverma1077 / manifold_mixup
Code for reproducing Manifold Mixup results (ICML 2019)
data-augumentation deep-learning deep-neural-networks icml2019 pytorch regularization supervised-learning supervised-machine-learning
Language:Python 475
EmilHvitfeldt / smltar
Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge
supervised-machine-learning text-analysis bookdown
Language:TeX 241
juliasilge / supervised-ML-case-studies-course
Supervised machine learning case studies in R! 💫 A free interactive tidymodels course
machine-learning online-course rstats supervised-machine-learning
Language:CSS 219
YangFangShu / FCNVMB-Deep-learning-based-seismic-velocity-model-building
Deep-learning inversion: A next-generation seismic velocity model building method
deep-learning seismic-inversion deep-neural-networks velocity-models supervised-machine-learning
Language:Python 153
sharmapratik88 / AIML-Projects
Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
supervised-machine-learning machine-learning knearest-neighbor-algorithm random-forest machinelearningprojects unsupervised-machine-learning logistic-regression support-vector-machines decision-tree-classifier gradient-boosting-classifier statistics ensemble-machine-learning oversampling data-science data-visualization datascienceproject recommendation-system catboost nlp computer-vision
Language:Jupyter Notebook 125
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.
reinforcement-learning supervised-machine-learning unsupervised-machine-learning linear-regression logistic-regression gradient-descent multiple-linear-regression regularization anomaly-detection artificial-neural-networks kmeans-clustering recommender-system tensorflow tree-ensemble xgboost
Language:Jupyter Notebook 75
lucylow / Deep-Learning-Mahjong---
Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states
mahjong deep-learning-mahjong battle-mahjong deep-neural-network reinforcement-learning game-play supervised-learning supervised-machine-learning reinforcement computer-vision nlp game-development game-theory markov-chain markov-model softmax tensorflow reactjs deep-q-network npc-generator
Language:JavaScript 72
OSSpk / 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.
comparative-study machine-learning-algorithms supervised-machine-learning k-nearest-neighbours support-vector-machines support-vector-classifier multiclass-perceptron artificial-neural-network learning-algorithms-comparison handwritten-digit-recognition mnist-dataset mnist-classification-logistic delta-rule perceptron-learning-algorithm accuracy-analysis efficiency-analysis logistic-regression sigmoid-function knn svm
Language:Python 59
Ashleshk / Machine-Learning-A-Z-hands-on-Python-And-R-in-data-Science
Repository For Codes And Concept Taught in Udemy Course
machine-learning deep-learning deep-neural-networks cnn rnn ann supervised-machine-learning unsupervised-machine-learning clustering-algorithm clustering reinforcement-learning eclat apiori decison-trees random-forest natural-language-processing
Language:Python 58
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.
machine-learning supervised-machine-learning unsupervised-machine-learning
Language:Jupyter Notebook 42
Machine_Learning
SudhakarKuma / Machine_Learning
A repository of resources for understanding the concepts of machine learning/deep learning.
machine-learning imbalanced-data seaborn-plots smote f1-score supervised-machine-learning unsupervised-machine-learning clustering preprocessing critical-concepts dimensionality-reduction knn-classification bagging boosting datacamp-machine-learning summer-school iiith datacamp-projects
Language:Jupyter Notebook 36
ExcViral / adaptive-forex-forecast
An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms
forex-trading forex-prediction forecasting-model adaptive-learning adaptive-filtering machine-learning supervised-machine-learning trading-bot machine-learning-algorithms prediction predictive-modeling predictive-analytics
Language:Python 34
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.
datascience statistical-learning r data-analysis depth-interpretation machine-learning-algorithms predictive-modeling polynomial-regression k-nn boosting bagging generalized-additive-models discriminant-anlaysis decision-trees svm-classifier logistic-regression supervised-machine-learning regularization clustering-algorithm
Language:R 30
theakshaydas / PGP-AIML
Repo for AIML case studies and projects
ai artificial-intelligence computer-vision deep-learning deeplearning ensemble-learning machine-learning machine-learning-algorithms machinelearning ml natural-language-processing nuralnetwork python python3 recommendation-system recommender-system supervised-learning supervised-machine-learning
Language:Jupyter Notebook 29
msultan / SML_CV
Using supervised machine learning to build collective variables for accelerated sampling
supervised-machine-learning supervised-learning machine-learning collective-variables accelerated-sampling metadynamics enhanced-sampling plumed openmm
Language:Jupyter Notebook 27
MauroCE / PythonBRMLtoolbox
Python 3.7 version of David Barber's MATLAB BRMLtoolbox
machine-learning bayesian-statistics bayesian-network bayesian-inference graphical-models matlab markov-networks model-selection statistics-toolbox statistics bayesian bayesian-methods bayesian-optimization bayesian-networks bayesian-neural-networks bayesian-data-analysis supervised-learning supervised-machine-learning supervised-learning-algorithms bayesian-analysis
Language:Python 24
rileynwong / spotify-analysis
Data analysis on my monthly playlists
machine-learning spotify-analysis audio-features data-analysis lyrics text-analysis sentiment-analysis data-scraping supervised-learning supervised-machine-learning text nlp nlp-machine-learning natural-language-processing
Language:Jupyter Notebook 24
jcsobrino / TFM-Analisis_sentimientos_Twitter-UOC
TFM - Análisis de sentimientos en Twitter
machine-learning natural-language-processing twitter supervised-machine-learning
Language:Python 16
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.
deeplearning graduation-project inception-v3 kotlin-android mvvm-architecture open-source python3 supervised-machine-learning deep-neural-networks regression classification
Language:Jupyter Notebook 16
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.
data-complexity machine-learning supervised-machine-learning
Language:HTML 15
ahmedhamdi96 / ML4T
Machine Learning for Trading
forecast stock machine-learning thesis data-science keras-tensorflow stock-price-prediction stock-analysis supervised-machine-learning lstm
Language:Python 14
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.
machine-learning supervised-machine-learning random-forest classification gait-analysis step-detection step-counting data-pre-processing data-visualization feature-extraction feature-selection model-training model-testing rfe rfecv scikit-learn python
Language:Python 14
juliasilge / caret-ML-course
Supervised machine learning case studies with caret in R! 🌟 A free interactive course
rstats machine-learning supervised-machine-learning online-course
Language:CSS 14
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
sentiment-analysis sentiment-classification data-analysis naive-bayes-classifier naive-bayes random-forest decision-trees svm sklearn cross-validation vader-sentiment-analysis lexicon-based machine-learning machine-learning-algorithms supervised-learning support-vector-machines supervised-machine-learning bert-model deep-learning lstm-sentiment-analysis
Language:Jupyter Notebook 14
zzf495 / Reimplementation-of-Attractive-Feature-Selection-and-Clustering-Methods
This repository integrates the codes for some feature selection & clustering methods.
clustering feature-selection matlab supervised-machine-learning unsupervised-machine-learning
Language:MATLAB 14
LeihuaYe / Machine-Learning-Rare-Event-Classification
With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?
machine-learning machine-learning-algorithms supervised-learning supervised-machine-learning supervised-learning-algorithms logistic-regression decision-trees knn random-forest svm roc-curve auc
13
J41R0 / PyFCM
Fuzzy cognitive maps python library
artificial-neural-networks data-mining-algorithms fuzzy-clustering fuzzy-cognitive-maps library python simulation supervised-machine-learning
Language:Python 11
LaxmiChaudhary / Modeling-of-strength-of-high-performance-concrete-using-Machine-Learning
feature-selection random-forest exploratory-data-analysis feature-engineering decisiontree gradient-boosting adaboost bagging knn-regression support-vector-regression ensemble-machine-learning kfold-cross-validation bootstrap supervised-learning supervised-machine-learning regression-algorithms
Language:Jupyter Notebook 11
luisgasco / noytext
A web-based platform for annotating short-text documents to be used in applied text-mining based research.
acoustics annotation-tool annotator annoyance environment machinelearning supervised-machine-learning text-classification text-mining
Language:R 10
sohansai / machine-learning-andrew-ng
This repository contains codes of Andrew Ng's course Machine learning
andrew-ng-machine-learning andrew-ng-ml-course machine-learning machine-learning-coursera andrew-ng andrew-ng-course stanford-machine-learning advanced-learning-algorithm coursera coursera-specialization supervised-machine-learning unsupervised-machine-learning andrewng machinelearning
Language:Jupyter Notebook 10
go-outside-labs / ml-ai-agents-py
👾 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗱𝗲𝗲𝗽 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹𝘀, 𝗽𝗹𝘂𝘀 𝘀𝗼𝗺𝗲 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀
machine-learning openai chatgpt reinforcement-learning supervised-machine-learning gpt-3 quantum-ai embs rust deep-learning markov-chain
Language:Python 9
JangirSumit / kmeans-clustering
K Means Clustering - Unsupervised learning
kmeans-clustering kmeans kmeans-algorithm kmeans-clustering-algorithm supervised-learning supervised-machine-learning artificial-intelligence machine-learning machine-learning-algorithms machinelearning
Language:Jupyter Notebook 9
tara-nguyen / english-premier-league-random-forest-analysis
Random forest analysis of match statistics and team performances in five seasons of the English Premier League (EPL)
random-forest premier-league soccer-analytics random-forest-classifier machine-learning supervised-machine-learning web-scraping r data-science data-science-project data-science-in-r data-visualization
Language:R 9
TimRivoli / RobotTrader
This is a supervised Recurrent Neural Network (RNN) learning project treating stock trading as a classification problem. Given input of a 60 day window of pricing data, choose the best action for maximum profit. This uses my earlier https://github.com/TimRivoli/Stock-Price-Trade-Analyzer project for a trading environment, and its SeriesPrediction module for data preparation and model training.
python supervised-learning recurrent-neural-networks trading-bot trading-strategies supervised-machine-learning stock-trading
Language:Python 9

supervised-machine-learning

greyhatguy007 / Machine-Learning-Specialization-Coursera

xiamx / awesome-sentiment-analysis

vikasverma1077 / manifold_mixup

EmilHvitfeldt / smltar

juliasilge / supervised-ML-case-studies-course

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

sharmapratik88 / AIML-Projects

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

lucylow / Deep-Learning-Mahjong---

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

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

AmirAli5 / Machine-Learning

SudhakarKuma / Machine_Learning

ExcViral / adaptive-forex-forecast

anishsingh20 / Statistical-Learning-using-R

theakshaydas / PGP-AIML

msultan / SML_CV

MauroCE / PythonBRMLtoolbox

rileynwong / spotify-analysis

jcsobrino / TFM-Analisis_sentimientos_Twitter-UOC

KAN-Team / Careium-AI

nmacia / dcol

ahmedhamdi96 / ML4T

Hameem1 / Step-Detection-using-Machine-Learning

juliasilge / caret-ML-course

KwokHing / SentimentAnalysis-Python-Demo

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

LeihuaYe / Machine-Learning-Rare-Event-Classification

J41R0 / PyFCM

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

luisgasco / noytext

sohansai / machine-learning-andrew-ng

go-outside-labs / ml-ai-agents-py

JangirSumit / kmeans-clustering

tara-nguyen / english-premier-league-random-forest-analysis

TimRivoli / RobotTrader