machine-learning-practice

There are 17 repositories under machine-learning-practice topic.

• veeralakrishna / DataCamp-Project-Solutions-Python

  DataCamp Project Solutions

  data-analysisdata-sciencedata-visualizationdatacampdatacamp-coursedatacamp-exercisesdatacamp-projectsdatacamp-pythondatacamp-solutions-pythondatasciencedeep-learningdeep-learning-practicemachine-learningmachine-learning-practicemachine-learning-problem-solutionmachine-learning-problemsmachine-learning-projectsmachinelearningnetwork-analysisprojects
  Language:Jupyter Notebook 453

• 42-AI / bootcamp_machine-learning

  Bootcamp to learn the basics for Machine Learning

  aiartificial-intelligencebootcamplearningmachine-learningmachine-learning-algorithmsmachine-learning-practicepython
  Language:TeX 213

• jim-schwoebel / voice_gender_detection

  ♂️♀️ Detect a person's gender from a voice file (90.7% +/- 1.3% accuracy).

  machine-learningmachine-learning-tutorialmachine-learning-modelmachine-learning-modelingvoice-commandsvoicegender-detectiongender-classificationvoice-computingvoice-assistantvoice-recognitionvoice-controlvoice-activity-detectionmachine-learning-practicetutorialworkshop-materialssurveylexneurolex
  Language:Python 88

• lankastersky / neuromantic

  Latest Data Science Materials

  neural-networkdeep-learningdeep-networksmachine-learningdata-sciencedata-miningmachine-learning-applicationmachine-learning-practice
  28
• Machine-Learning-Reference

  iamtushara / Machine-Learning-Reference

  This repository contains study materials in the form of presentations (and Python codes) to various Machine Learning techniques and also contains some sample data to practice these algorithms

  machine-learningmachine-learning-algorithmsdata-sciencelearning-pythonmachine-learning-practicesupervised-learningunsupervised-learningdimensionality-reduction
  Language:Jupyter Notebook 25

• oyiadin / bitflow

  模仿 TensorFlow 写的极简深度学习框架，仅供练习目的

  machine-learning-practicedeep-learning-praticetensorflow-lite
  Language:Python 14

• CSI-KJSCE / ml-workshop-2017

  Machine Learning Workshop

  kmeans-clusteringknn-classificationmachine-learningmachine-learning-practice
  Language:Jupyter Notebook 10

• FardinHash / Machine-Learning-Roadmap

  Welcome to the Machine Learning Roadmap! This comprehensive guide will take you from the basics to becoming proficient in machine learning. Whether you're a beginner or looking to expand your skills, this roadmap will provide you with a structured path to follow.

  learn-machine-learningmachine-learningmachine-learning-practicemachine-learning-roadmapmachinelearningml-learningml-roadmapcomplete-machine-learning-roadmap
  10

• ArunkumarRamanan / Exercises-Machine-Learning-Crash-Course-Google-Developers

  Exercises  |  Machine Learning Crash Course  |  Google Developers

  machine-learninggoogle-developerscrash-courseprogramming-exercisestensorflowneural-networksdeep-learningmachine-learning-tutorialsgoogle-aiprogramming-coursesprograming-assignmentsprogramming-conceptspythonpython-librarypython-programmingfeature-engineeringmachine-learning-practicetensorflow-tutorialstensorflow-experimentstensorflow-examples
  Language:Jupyter Notebook 8

• erjan / projects_in_machine_learning_eduonix_mooc

  coding along with ML course from eduonix, doing real projects

  eduonixjupyter-labjupyter-notebookjupyterlablearning-by-doingmachine-learning-practiceprojectspython
  Language:Jupyter Notebook 7

• rrequeena / ml-water-potabilty

  Machine Learning project built to practice and improve coding and deployment skills using python, scikit-learn, jupyter-notebooks, and some visualization packages.

  machine-learning-projectsmachine-learning-practicepythonpython3data-sciencejupyter-notebook
  Language:Jupyter Notebook 6

• weize07 / statistical-learning-methods

  统计学习方法-python练习

  machine-learning-practice
  Language:Python 6

• avannaldas / ML-from-scratch

  ML Algorithm implementation from scratch for practice

  kmeans-clustering-algorithmmachine-learningmachine-learning-algorithmsmachine-learning-practicepythonscratch-implementation
  Language:Python 5

• farhantandia / Machine-Learning-Practice

  Implementation of machine learning algorithms from scratch using python.

  machine-learning-algorithmsmachine-learning-practicepython
  Language:Jupyter Notebook 5

• RobertoFalconi / GameRatingsPredictor

  Machine learning algorithm solves multi-class classification problem of video games content rating (without playing it). Quantitative Methods for Computer Science exam project.

  pythondatasetvideo-gamevideo-gamesmachine-learningmachine-learning-algorithmsmachinelearningartificial-intelligenceknnknn-classificationknn-classifierrandom-forestrandom-forest-classifierrandom-forest-regressionscikit-learnscikitlearn-machine-learningpandaspandas-dataframematplotlibmachine-learning-practice
  Language:Python 5

• 7Aishwarya / Machine-Learning

  Machine Learning A-Z™ Hands-On Python & R In Data Science

  machine-learningmachine-learning-in-python-and-rmachine-learning-modelsmachine-learning-in-pythonmachine-learning-in-rmachinelearning-pythonmachinelearning-rmachinelearningmachine-learning-a-to-zmachine-learning-practicelearn-machine-learningmachine-learning-for-beginners
  Language:Python 4

• anastazijaverovic / Machine_Learning_Algorithms_R

  The repository contains exercises on Machine Learning algorithms in R, using RStudio. Used to dive into ML, data preprocessing, data visualisation, and data exploration.

  machine-learning-algorithmsmachine-learningrdata-sciencedata-processingdata-engineeringdata-visualizationregression-modelsclassification-modelsmachine-learning-practicemachine-learning-tutorialuci-machine-learningregressionlinear-regressionclassificationreinforcement-learning-algorithmsassociation-rulesdimensionality-reduction
  Language:R 4

• Arup3201 / SmartFlow-Traffic-Manager

  An intelligent traffic management system to guide traffic authorities understand the trends of traffic and predict the future traffic conditions so that they can prepare themselves. Along with this it gives many other features to improve traffic control.

  algorithmsdata-sciencedeep-learningmachine-learningmachine-learning-practicetraffic-analysistraffic-controltraffic-monitoringtraffic-sign-classification
  Language:HTML 4

• mirianfsilva / machine-learning-studies

  Machine Learning studies. Current approaches: Data processing, model training, evaluation performance and parameter adjustment for better performance.

  deep-learningmachine-learningmachine-learning-algorithmsmachine-learning-practicestudiessupervised-machine-learningunsupervised-machine-learning
  Language:Jupyter Notebook 4

• J4NN0 / machine-learning-pca-svm

  PCA applied on images and Naive Bayes Classifier to classify them. Validation, cross validation and grid search with multi class SVM

  pca-analysismachine-learningmachine-learning-algorithmspca-implementationpca-predictpca-mode-visualizationmachine-learning-tutorialsmachine-learning-modelsclassification-algorithmnaive-bayes-classifiernaive-bayes-classificationnaive-bayes-implementationdatasetsvm-classifierkfold-cross-validationrbf-kernellinear-kernelsvm-trainingmachine-learning-practicetraining-dataset
  Language:Python 3

• mohitmishra786 / ML-and-DL

  This repository gives beginners and newcomers in the field of AI and ML a chance to understand the inner workings of popular learning algorithms by presenting them with a simple way to analyze the implementation of ML and DL algorithms in pure python using only numpy as a backend for linear algebraic computations.

  artificial-intelligenceartificial-neural-networksbasiccodingdeep-learningdeep-neural-networksmachine-learningmachine-learning-algorithmsmachine-learning-practicemachine-learning-projectsmlml-projectmlopspythonpython3pytorchpytorch-implementationtensorflow
  Language:Jupyter Notebook 3

• songyouwei / MachineLearning

  Implementations of Machine Learning algorithms with Python and Numpy.

  machine-learningmachine-learning-algorithmsmachine-learning-tutorialsmachine-learning-practice
  Language:Python 3

• AdilShamim8 / ML-Roadmap-and-Notes

  A carefully curated collection of machine learning notes, resources, projects, and datasets designed to guide you through the ML landscape effectively.

  deep-learningmachine-learning-algorithmsmachine-learning-librarymachine-learning-modelsmachine-learning-practicemachine-learning-projectsmacine-learning
  Language:Jupyter Notebook 2

• AhmedWageh97 / Machine-Learning-Projects

  This repository contains some machine learning projects as a practise on machine learning course on Coursera for Prof. Andrew Ng from Stanford University.

  machine-learninglogistic-regressionlogistic-regression-algorithmlogisticregressionlogistic-regresionclassificationclassification-algorithmclassification-modelbinary-classificaitonbinary-classifierbinary-classifiersbinary-classificationsmatlaboctavemachinelearningmachine-learning-courseramachine-learning-algorithmsmachine-learning-practicemachine-learning-matlabmachine-learning-projects
  Language:MATLAB 2

• astuanax / machine-learning

  machinelearningmachine-learning-practicejavascriptmatrix
  Language:HTML 2

• Aurelius84 / django_web

  djangonginxuwsgiadmincorpus-datamachine-learning-practice
  Language:JavaScript 2

• BaseMax / ColorizeBlackWhiteImagePython

  Colorize black & white images, using machine learning in Python

  colorizecolorize-imagecolorizercv2deep-learningopencvpypythonpython3image-colorizermachine-learningmachine-learning-modelsmachine-learning-practicemachine-learning-projectsmachine-learning-tutorials
  Language:Python 2

• DanielRWade / AMRDEC-aviation-data-science

  machine-learning-practice
  Language:Jupyter Notebook 2

• fcschmidt / knn_iris_dataset

  k-NN Iris Dataset Classification - Using scikit-learn

  iris-datasetknn-classificationmachine-learning-practicesklearn
  Language:Jupyter Notebook 2

• gurol / BenchMetrics

  BenchMetrics - A Systematic Benchmarking Method for Binary-Classification Performance Metrics

  benchmarkingbinary-classificationclassificationconfusion-matrixcontingency-tablemachine-learningmachine-learning-practicemeansmeasuresmetricsperformance-evaluationperformance-measurementperformance-metricsperformance-reportsrrobustnesssupervised-learning
  Language:R 2

• polossk / DSML-Logs

  Competition logs of Data Science & Machine Learning

  data-sciencejupyter-notebookmachine-learning-practicepython3
  Language:Jupyter Notebook 2

• Zulqarnain-cc34 / Neural-Network-From-Scratch

  🧠🤖 Want to learn how to build neural networks from scratch? Follow along and create your own machine learning library.

  neural-networkmachine-learningmachine-learning-from-scratchmachine-learning-practicemachine-learning-tutorialsmachinelearning-python
  Language:Jupyter Notebook 2

• DataByteSun / Machine-Learning

  Machine Learning example includes code, explanations, and insights into the story behind the problem being solved.

  artificial-intelligencecomputer-visiondata-sciencelinear-regressionmachine-learningpythonmachine-learning-storiesmachine-learning-beginnersmachine-learning-coursesmachine-learning-practicemachine-learning-projectsexploratory-data-analysisregression-models
  Language:Jupyter Notebook 1

• Hamza-Rafique / chatbot

  AI based chatbot forntend on reactjs and backend on python flask

  aichatbotchatbotmachine-learningmachine-learning-practicemachine-learning-projectsmlchatbotgptcustomchatbot
  Language:Python 1

• Mejdik / mapspades

  Set of Jupyter notebooks and geospatial data developed by the MAPSPADES project to study desertification in the Algerian steppe using EO data.

  earth-observationland-degradation-monitoringlandsatremote-sensingdesertificationcopernicus-climate-data-storecopernicus-productsfeature-importanceintensity-analysismachine-learning-practicepythonshapley-valuealgeriageospatial-analysisresidual-trend-analysisregionalizationgoogle-earthlinear-regressionvegetation-indicestime-series
  Language:Jupyter Notebook 1

• neyhere07 / Loan-Amount-Prediction

  The Loan Amount Prediction project aims to predict whether a loan will be approved based on various features related to the applicant's personal and financial information, by using various Machine Learning algorithms we can analyze and model the data to make accurate predictions.

  data-miningdata-sciencedata-visualizationdatasciencedatasetedamachine-learningmachine-learning-algorithmsmachine-learning-practicemachine-learning-projects
  Language:Jupyter Notebook 1