Topic: supervised-machine-learning Goto Github

👇 Here are 896 public repositories matching this topic...

abhishekmamidi123 / supervised-modeling-with-emphasis-on-lauc
supervised-machine-learning,American Express Artificial Intelligence Challenge - Problem 2. Rank: 36 out of 1354 participants.
User: abhishekmamidi123
Home Page: https://www.hackerearth.com/challenge/hiring/ai-problem-statement-2/
data-science machine-learning supervised-machine-learning hackerearth python deep-learning artificial-intelligence

adityayardi1 / aiml
supervised-machine-learning,ML AI Case Studies and Projects
User: adityayardi1
python3 ai machine-learning machine-learning-algorithms supervised-learning hypothesis-testing data-science supervised-machine-learning unsupervised-machine-learning greatlearning

ahmedhamdi96 / ml4t
supervised-machine-learning,Machine Learning for Trading
User: ahmedhamdi96
forecast stock machine-learning thesis data-science keras-tensorflow stock-price-prediction stock-analysis supervised-machine-learning lstm

amey-thakur / depression_detection_using_tweets
supervised-machine-learning,Twitter Depression Detection
User: amey-thakur
Home Page: https://github.com/Amey-Thakur/DEPRESSION_DETECTION_USING_TWEETS
amey ameythakur computer-engineering data-science depression-detection depression-detector machine-learning nlp project python

amirali5 / machine-learning
supervised-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.
User: amirali5
Home Page: https://www.amazon.com/dp/1090626797
machine-learning supervised-machine-learning unsupervised-machine-learning

anishsingh20 / statistical-learning-using-r
supervised-machine-learning,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.
User: anishsingh20
Home Page: http://rpubs.com/anish20
datascience statistical-learning r data-analysis depth-interpretation machine-learning-algorithms predictive-modeling polynomial-regression k-nn boosting

ashleshk / machine-learning-a-z-hands-on-python-and-r-in-data-science
supervised-machine-learning,Repository For Codes And Concept Taught in Udemy Course
User: ashleshk
machine-learning deep-learning deep-neural-networks cnn rnn ann supervised-machine-learning unsupervised-machine-learning clustering-algorithm clustering

dubiouscactus / amygdala
supervised-machine-learning,An easy to read and Object Oriented implementation of a simple Neural Network using back-propagation and hidden layers, applied on a basic image classification problem.
User: dubiouscactus
deep-learning neural-network deep-neural-networks supervised-machine-learning backpropagation image-classification minimum-square-error neuronal-network neurons synapses

emilhvitfeldt / smltar
supervised-machine-learning,Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge
User: emilhvitfeldt
Home Page: https://smltar.com
supervised-machine-learning text-analysis bookdown

ericarcher / banter
supervised-machine-learning,banter is a package for creating hierarchical acoustic event classifiers out of multiple call type detectors.
User: ericarcher
acoustics classification random-forest machine-learning bioacoustics r cran r-package cetaceans species-identification

excviral / adaptive-forex-forecast
supervised-machine-learning,An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms
User: excviral
forex-trading forex-prediction forecasting-model adaptive-learning adaptive-filtering machine-learning supervised-machine-learning trading-bot machine-learning-algorithms prediction

felipexw / knn-java-library
supervised-machine-learning,Just a simple implementation of K-Nearest Neighbour algorithm.
User: felipexw
knn knn-classification knn-classifier knn-algorithm k-nearest-neighbours k-nearest-neighbor-classifier supervised-learning supervised-learning-algorithms supervised-learning-classifiers supervised-machine-learning

go-outside-labs / ml-ai-agents-py
supervised-machine-learning,👾 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗱𝗲𝗲𝗽 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹𝘀, 𝗽𝗹𝘂𝘀 𝘀𝗼𝗺𝗲 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀
Organization: go-outside-labs
machine-learning openai chatgpt reinforcement-learning supervised-machine-learning gpt-3 quantum-ai embs rust deep-learning

greyhatguy007 / machine-learning-specialization-coursera
supervised-machine-learning, Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
User: greyhatguy007
andrew-ng andrew-ng-machine-learning coursera coursera-assignment coursera-specialization deep-learning linear-regression logistic-regression machine-learning python

hameem1 / step-detection-using-machine-learning
supervised-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.
User: hameem1
machine-learning supervised-machine-learning random-forest classification gait-analysis step-detection step-counting data-pre-processing data-visualization feature-extraction

j41r0 / pyfcm
supervised-machine-learning,Fuzzy cognitive maps python library
User: j41r0
artificial-neural-networks data-mining-algorithms fuzzy-clustering fuzzy-cognitive-maps library python simulation supervised-machine-learning

jalalmansoori19 / classfiying-iris-flower-species
supervised-machine-learning,This project is about getting familiar with machine learning classification problem !
User: jalalmansoori19
machine-learning classification iris-dataset tutorial juypter-notebook scikitlearn-machine-learning howto-tutorial beginners-tutorial-series easy supervised-machine-learning

jangirsumit / kmeans-clustering
supervised-machine-learning,K Means Clustering - Unsupervised learning
User: jangirsumit
kmeans-clustering kmeans kmeans-algorithm kmeans-clustering-algorithm supervised-learning supervised-machine-learning artificial-intelligence machine-learning machine-learning-algorithms machinelearning

jcsobrino / tfm-analisis_sentimientos_twitter-uoc
supervised-machine-learning,TFM - Análisis de sentimientos en Twitter
User: jcsobrino
machine-learning natural-language-processing twitter supervised-machine-learning

juliasilge / caret-ml-course
supervised-machine-learning,Supervised machine learning case studies with caret in R! 🌟 A free interactive course
User: juliasilge
Home Page: https://caret-ml-course.netlify.app/
rstats machine-learning supervised-machine-learning online-course

juliasilge / supervised-ml-case-studies-course
supervised-machine-learning,Supervised machine learning case studies in R! 💫 A free interactive tidymodels course
User: juliasilge
Home Page: https://supervised-ml-course.netlify.app/
rstats machine-learning supervised-machine-learning online-course

kan-team / careium-ai
supervised-machine-learning,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.
Organization: kan-team
deeplearning graduation-project inception-v3 kotlin-android mvvm-architecture open-source python3 supervised-machine-learning deep-neural-networks regression

kwokhing / sentimentanalysis-python-demo
supervised-machine-learning,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
User: kwokhing
sentiment-analysis sentiment-classification data-analysis naive-bayes-classifier naive-bayes random-forest decision-trees svm sklearn cross-validation

laxmichaudhary / modeling-of-strength-of-high-performance-concrete-using-machine-learning
supervised-machine-learning,
User: laxmichaudhary
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

leihuaye / machine-learning-rare-event-classification
supervised-machine-learning,With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?
User: leihuaye
Home Page: https://towardsdatascience.com/classifying-rare-events-using-five-machine-learning-techniques-fab464573233
machine-learning machine-learning-algorithms supervised-learning supervised-machine-learning supervised-learning-algorithms logistic-regression decision-trees knn random-forest svm

lokeshbi / machine-learning-codes
supervised-machine-learning,Machine Learning is not a MAGIC but MATH
User: lokeshbi
machine-learning machine-learning-algorithms supervised-machine-learning unsupervised-machine-learning clustering boosting association-rules dimensionality-reduction deep-learning cnn

lucasfrota / machinelearningelasticcomponent
supervised-machine-learning,this project aims to be an easy and reusable way to use supervised machine learning techniques
User: lucasfrota
machine-learning machine-learning-algorithms java serialization netbeans comparison artificial-intelligence supervised-machine-learning supervised-learning supervised-learning-algorithms

lucylow / deep-learning-mahjong---
supervised-machine-learning,Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states
User: lucylow
Home Page: https://www.msra.cn/zh-cn/news/features/mahjong-ai-suphx
mahjong deep-learning-mahjong battle-mahjong deep-neural-network reinforcement-learning game-play supervised-learning supervised-machine-learning reinforcement computer-vision

luisgasco / noytext
supervised-machine-learning,A web-based platform for annotating short-text documents to be used in applied text-mining based research.
User: luisgasco
Home Page: http://www.noytext.com/
annotation-tool annotator text-classification text-mining machinelearning supervised-machine-learning acoustics annoyance environment

mauroce / pythonbrmltoolbox
supervised-machine-learning,Python 3.7 version of David Barber's MATLAB BRMLtoolbox
User: mauroce
machine-learning bayesian-statistics bayesian-network bayesian-inference graphical-models matlab markov-networks model-selection statistics-toolbox statistics

mmd52 / hr_employee_attrition
supervised-machine-learning,Predicting employee attrition
User: mmd52
Home Page: https://datascience52.wordpress.com/2018/04/14/ibm-employee-hr-attrition/
data data-science decision-trees exploratory-data-analysis logistic-regression neural-networks python random-forest stacking supervised-machine-learning support-vector-machines xgboost

mrinal1704 / credit-card-transaction-fraud-detection-using-supervised-machine-learning-with-an-imbalanced-dataset
supervised-machine-learning,Credit card fraud is a burden for organizations across the globe. Specifically, $24.26 billion were lost due to credit card fraud worldwide in 2018, according to shiftprocessing.com. In this project, our goal was to build an effective and efficient model to predict fraud. We analyzed a real-world dataset that contained a list of government related credit card transactions over the 2010 calendar year. The data presented a supervised problem as it included a column showing the transaction’s fraud label (whether a transaction was fraudulent or not). It also contained identifying information about each transaction such as the credit card number, merchant, merchant state, etc. The dataset had 96,753 records and 10 data fields. We first described and visualized each of the 10 data fields, cleaned the dataset, and filled in missing values. Then we created many variables and performed feature selection. Finally, we created a variety of machine learning models (both linear and nonlinear) and highlighted our results.
User: mrinal1704
supervised-machine-learning imbalance-classification feature-engineering feature-extraction fraud-detection

msultan / sml_cv
supervised-machine-learning,Using supervised machine learning to build collective variables for accelerated sampling
User: msultan
supervised-machine-learning supervised-learning machine-learning collective-variables accelerated-sampling metadynamics enhanced-sampling plumed openmm

nmacia / dcol
supervised-machine-learning,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.
User: nmacia
data-complexity machine-learning supervised-machine-learning

osspk / handwritten-digits-classification-using-knn-multiclass_perceptron-svm
supervised-machine-learning,🏆 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.
Organization: osspk
Home Page: https://github.com/harismuneer
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

raju-shrestha / sentiment-analysis-of-twitter-data-using-logistic-regression
supervised-machine-learning,Sentiment Analysis of Twitter Data Using Logistic Regression
User: raju-shrestha
sentiment-analysis sentiment-classification opinion-mining text-mining text-classification text-analysis natural-language-processing logistic-regression supervised-machine-learning

rileynwong / spotify-analysis
supervised-machine-learning,Data analysis on my monthly playlists
User: rileynwong
machine-learning spotify-analysis audio-features data-analysis lyrics text-analysis sentiment-analysis data-scraping supervised-learning supervised-machine-learning

shantanu1109 / coursera-deeplearning.ai-stanford-university-machine-learning-specialization
supervised-machine-learning,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.
User: shantanu1109
anomaly-detection artificial-neural-networks gradient-descent kmeans-clustering linear-regression logistic-regression multiple-linear-regression recommender-system regularization reinforcement-learning supervised-machine-learning tensorflow tree-ensemble unsupervised-machine-learning xgboost

sharmapratik88 / aiml-projects
supervised-machine-learning,Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
User: sharmapratik88
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

sohansai / machine-learning-andrew-ng
supervised-machine-learning,This repository contains codes of Andrew Ng's course Machine learning
User: sohansai
Home Page: https://www.coursera.org/specializations/machine-learning-introduction
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

sudhakarkuma / machine_learning
supervised-machine-learning,A repository of resources for understanding the concepts of machine learning/deep learning. 
User: sudhakarkuma
machine-learning imbalanced-data seaborn-plots smote f1-score supervised-machine-learning unsupervised-machine-learning clustering preprocessing critical-concepts

tara-nguyen / english-premier-league-random-forest-analysis
supervised-machine-learning,Random forest analysis of match statistics and team performances in five seasons of the English Premier League (EPL)
User: tara-nguyen
data-science data-science-in-r data-science-project data-visualization machine-learning premier-league r random-forest random-forest-classifier soccer-analytics supervised-machine-learning web-scraping

theakshaydas / pgp-aiml
supervised-machine-learning,Repo for AIML case studies and projects
User: theakshaydas
python machine-learning machine-learning-algorithms machinelearning ai ml artificial-intelligence nuralnetwork deep-learning deeplearning

timrivoli / robottrader
supervised-machine-learning,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.
User: timrivoli
python recurrent-neural-networks stock-trading supervised-learning supervised-machine-learning trading-bot trading-strategies

tsg405 / applied-machine-learning-in-python
supervised-machine-learning,This Repo contains - Starter files, Coursework, Programming Assignments for the course --> Applied Machine Learning in Python, University of Michigan [COURSERA]
User: tsg405
machine-learning data-science python applied-machine-learning university-of-michigan coursera fruit-dataset supervised-machine-learning unsupervised-machine-learning scikit-learn

vikasverma1077 / manifold_mixup
supervised-machine-learning,Code for reproducing Manifold Mixup results (ICML 2019)
User: vikasverma1077
deep-learning deep-neural-networks regularization data-augumentation supervised-machine-learning pytorch supervised-learning icml2019

xiamx / awesome-sentiment-analysis
supervised-machine-learning,😀😄😂😭 A curated list of Sentiment Analysis methods, implementations and misc. 😥😟😱😤
User: xiamx
sentiment-analysis awesome-list machine-learning deep-learning supervised-machine-learning python nlp linguistics

yangfangshu / fcnvmb-deep-learning-based-seismic-velocity-model-building
supervised-machine-learning,Deep-learning inversion: A next-generation seismic velocity model building method
User: yangfangshu
deep-learning seismic-inversion deep-neural-networks velocity-models supervised-machine-learning

yashksaini-coder / multivariate-logistic-regression---telecom-churn
supervised-machine-learning,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.
User: yashksaini-coder
logistic-regression machine-learning multivariate-regression supervised-learning supervised-machine-learning

zzf495 / reimplementation-of-attractive-feature-selection-and-clustering-methods
supervised-machine-learning,This repository integrates the codes for some feature selection & clustering methods.
User: zzf495
clustering feature-selection matlab supervised-machine-learning unsupervised-machine-learning