sci-kit

There are 1 repository under sci-kit topic.

• dvilaverde / SkLearn2Java

  A parser for scikit-learn exported text models to execute in the Java runtime.

  decision-treedecisiontreeclassifierjavamachine-learningmlrandom-forestrandomforestclassifiersci-kitscikitscikit-learnscikitlearn-machine-learningsklearn
  Language:Java 3

• gmartinezramirez-old / data-science-portafolio

  :notebook: [Active] Portafolio of data science projects. Using: Python, PyTorch, Spark, Tensorflow, Scikit, Keras. Includes Classification, Regression, Time series, NLP, Deep learning, among others.

  pythonrpysparksparkhadoopdata-sciencenotebookjupyter-notebookpandasdata-science-notebookdata-science-portfoliodata-science-learningtensorflowsci-kitkeraspytorch
  Language:Jupyter Notebook 3

• janmejay23 / basic_neural_network

  it is simple 2 layer neural network using only numpy as dependency

  pythonmachinelearningneuralneuralnetworkdeeplearningdeep-learningnumpyscipysci-kitartificial-intelligenceneural-networkbackpropagationbackpropagation-learning-algorithmbackpropagation-algorithm
  Language:Jupyter Notebook 2

• alorber / Frequentist-Machine-Learning-Projects

  Projects for ECE 475 - Freq. Machine Learning

  machine-learningpythonsci-kitlinear-regressionlogistic-regressioncross-validationgradient-boosted-treesrandom-forestnon-negative-matrix-factorizationmarket-basket-analysis
  Language:Python 1

• Kaspyy / natural-language-processing

  Programs from dr Kycia's natural processing language lectures at CUT.

  pythonnatural-language-processingpandassci-kitpolitechnika-krakowska
  Language:Jupyter Notebook 1

• binaryvexjuiit / ECG-signals-to-heart-arrhythmia-detection

  Heart Arrhythmias Detection with Convolutional Neural Network From ECG signal

  cnn-classificationcnn-kerasmatplotlibnumpypython3sci-kitseaborntensorflow
  Language:Python 0

• erharrison / Final_Project_Plymouth_University_2019

  A project developed as part of my dissertation for my degree in Computer Science BSc. This work proposes a solution to predicting the number of Bd infected amphibians in North America. It is important to estimate these figures to help build preventative methods to stop the spread of the disease. The problem being dealt with by this application is a timeseries prediction problem. The optimal model configurations need to be implemented to maximise the accuracy of the model’s output, and therefore the predictions based off it. A Recurrrent Neural Network is used to produce predictions, which are ultimately visualised as a bubble map.

  pythontensorboardgraphviztensorflowmatlabsci-kitamphibianbd
  Language:Python 0

• KetanThakare / Ames-house-price-predictor

  A Machine Learning project to predict house prices on Ames Housing Data

  ames-housingfeature-selectionmachine-learningone-hot-encodeprediction-algorithmprediction-modelpythonregression-modelssci-kit
  Language:Jupyter Notebook 0

• moeraza / predicting-market-value-of-motorcycles

  Designed a webscrapping script to apply a predictive model to a self generated dataset of an online classified

  webscrappingpredictiveanalyticsbeautifulsoupsci-kit
  Language:Python 0

• tmsbn / Diabetes-study

  Predict onset of diabetes using Sci-kit learn and Tensorflow

  sci-kittensorflowjupyter-notebook
  Language:Jupyter Notebook 0

• AlexDCraig / senior-capstone-project

  This is the Github repository for our CS Senior Capstone project, which is Machine Learn Your Way To March Madness Glory. Our client is Dr. Victor Hsu, our team consists of Alex Hoffer, Jacob Smith, and Chongxian Chen, and our instructor is D. Kevin McGrath.

  csshtmljavascriptlatexpythonsci-kit
  Language:TeX

• SriswaroopKoundinya / sklearn

  Check out the projects that I have made using scikit-learn.

  scikitlearn-machine-learningscikit-learnknnk-nearest-neighboursk-nearest-neighborsk-nearest-neighborsci-kitlogistic-regressionclassificationclassification-algorithmclassifierrandom-forestrandom-forest-classifierdecision-treesdecision-treedecision-tree-classifiersvm