Topic: "cross-validation"
RubixML/ML
A high-level machine learning and deep learning library for the PHP language.
Language: PHP - Size: 30.6 MB - Last synced at: 11 days ago - Pushed at: 12 days ago - Stars: 2,113 - Forks: 189
trent-b/iterative-stratification
scikit-learn cross validators for iterative stratification of multilabel data
Language: Python - Size: 45.9 KB - Last synced at: 11 days ago - Pushed at: 6 months ago - Stars: 862 - Forks: 74
mdabros/SharpLearning
Machine learning for C# .Net
Language: C# - Size: 4.04 MB - Last synced at: 3 days ago - Pushed at: about 1 month ago - Stars: 393 - Forks: 86
WenjieZ/TSCV
Time Series Cross-Validation -- an extension for scikit-learn
Language: Python - Size: 224 KB - Last synced at: 18 days ago - Pushed at: about 2 years ago - Stars: 254 - Forks: 42
Alex-Lekov/AutoML_Alex
State-of-the art Automated Machine Learning python library for Tabular Data
Language: Python - Size: 25.9 MB - Last synced at: 17 days ago - Pushed at: over 1 year ago - Stars: 229 - Forks: 43
CynthiaKoopman/Network-Intrusion-Detection
Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
Language: Jupyter Notebook - Size: 2.44 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 206 - Forks: 87
alexhuang1117/Data-Science-Portfolio
A Portfolio of my Data Science Projects
Language: Jupyter Notebook - Size: 230 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 173 - Forks: 63
sharmaroshan/Twitter-Sentiment-Analysis
It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization
Language: Jupyter Notebook - Size: 2.77 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 168 - Forks: 114
stan-dev/loo
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
Language: R - Size: 111 MB - Last synced at: 1 day ago - Pushed at: 17 days ago - Stars: 153 - Forks: 34
heidelbergcement/hcrystalball
A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
Language: Python - Size: 10.9 MB - Last synced at: about 13 hours ago - Pushed at: about 1 year ago - Stars: 151 - Forks: 20
autoreject/autoreject
Automated rejection and repair of bad trials/sensors in M/EEG
Language: Python - Size: 697 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 142 - Forks: 58
rvalavi/blockCV
The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatially structured environments. See
Language: R - Size: 51.1 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 103 - Forks: 22
raamana/neuropredict
Easy and comprehensive assessment of predictive power, with support for neuroimaging features
Language: Python - Size: 16.4 MB - Last synced at: 12 days ago - Pushed at: about 1 year ago - Stars: 102 - Forks: 27
zyl200846/3D-UNet-PyTorch-Implementation
The implementation of 3D-UNet using PyTorch
Language: Python - Size: 24.4 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 100 - Forks: 25
gmontamat/gentun
Hyperparameter tuning for machine learning models using a distributed genetic algorithm
Language: Python - Size: 622 KB - Last synced at: 6 days ago - Pushed at: 7 months ago - Stars: 88 - Forks: 19
mljs/libsvm
LIBSVM for the browser and nodejs :fire:
Language: JavaScript - Size: 7.47 MB - Last synced at: about 4 hours ago - Pushed at: about 3 years ago - Stars: 85 - Forks: 14
GDSL-UL/san
Spatial Modelling for Data Scientists
Language: TeX - Size: 523 MB - Last synced at: 4 days ago - Pushed at: about 1 year ago - Stars: 84 - Forks: 19
msmbuilder/osprey
🦅Hyperparameter optimization for machine learning pipelines 🦅
Language: Python - Size: 974 KB - Last synced at: 7 days ago - Pushed at: over 4 years ago - Stars: 74 - Forks: 26
alejandrodebus/Pytorch-Utils
Useful functions to work with PyTorch. At the moment, there is a function to work with cross validation and kernels visualization.
Language: Python - Size: 3.91 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 68 - Forks: 14
deadskull7/One-Stop-for-COVID-19-Infection-and-Lung-Segmentation-plus-Classification
✋🏼🛑 This one stop project is a complete COVID-19 detection package comprising of 3 tasks: • Task 1 --> COVID-19 Classification • Task 2 --> COVID-19 Infection Segmentation • Task 3 --> Lung Segmentation
Language: Jupyter Notebook - Size: 34.5 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 66 - Forks: 25
BCG-X-Official/sklearndf
DataFrame support for scikit-learn.
Language: Python - Size: 15.3 MB - Last synced at: 12 days ago - Pushed at: over 1 year ago - Stars: 63 - Forks: 7
hongooi73/glmnetUtils
Utilities for glmnet
Language: R - Size: 318 KB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 63 - Forks: 18
sraashis/deepdyn
pytorch implementation of paper https://www.frontiersin.org/articles/10.3389/fcomp.2020.00035/full
Language: Jupyter Notebook - Size: 296 MB - Last synced at: 12 days ago - Pushed at: over 2 years ago - Stars: 63 - Forks: 22
RubixML/CIFAR-10
Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.
Language: PHP - Size: 163 MB - Last synced at: 6 days ago - Pushed at: almost 2 years ago - Stars: 59 - Forks: 9
mlr-org/mlr3spatiotempcv
Spatiotemporal resampling methods for mlr3
Language: TeX - Size: 457 MB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 51 - Forks: 9
PacktWorkshops/The-Deep-Learning-with-Keras-Workshop
An Interactive Approach to Understanding Deep Learning with Keras
Language: Jupyter Notebook - Size: 229 MB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 51 - Forks: 91
tlverse/hal9001
🤠 📿 The Highly Adaptive Lasso
Language: R - Size: 13.1 MB - Last synced at: 7 days ago - Pushed at: 5 months ago - Stars: 50 - Forks: 15
SamComber/spacv
Spatial cross-validation in Python.
Language: Jupyter Notebook - Size: 3.76 MB - Last synced at: 15 days ago - Pushed at: 11 months ago - Stars: 45 - Forks: 14
DidierRLopes/timeseries-cv
Time-Series Cross-Validation Module
Language: Jupyter Notebook - Size: 454 KB - Last synced at: 1 day ago - Pushed at: over 3 years ago - Stars: 44 - Forks: 10
ledell/subsemble
subsemble R package for ensemble learning on subsets of data
Language: R - Size: 58.6 KB - Last synced at: about 11 hours ago - Pushed at: about 3 years ago - Stars: 43 - Forks: 4
Gscorreia89/pyChemometrics
pyChemometrics - Objects for multivariate analysis of chemometric and metabonomic datasets
Language: Python - Size: 1.09 MB - Last synced at: 11 days ago - Pushed at: 16 days ago - Stars: 40 - Forks: 14
mariostrbac/environmental-sound-classification
Environmental sound classification with Convolutional neural networks and the UrbanSound8K dataset.
Language: Jupyter Notebook - Size: 3.05 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 40 - Forks: 15
darya-chyzhyk/confound_prediction
Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.
Language: Python - Size: 641 KB - Last synced at: 9 days ago - Pushed at: over 5 years ago - Stars: 40 - Forks: 10
RubixML/MNIST
Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
Language: PHP - Size: 19.9 MB - Last synced at: 6 days ago - Pushed at: about 2 years ago - Stars: 39 - Forks: 9
FBruzzesi/timebasedcv
Time based splits for cross validation
Language: Python - Size: 1.86 MB - Last synced at: 15 days ago - Pushed at: 21 days ago - Stars: 38 - Forks: 1
raamana/confounds
Conquering confounds and covariates: methods, library and guidance
Language: Python - Size: 27.3 MB - Last synced at: 9 days ago - Pushed at: about 1 year ago - Stars: 38 - Forks: 14
Puneet2000/In-Depth-ML
In depth machine learning resources
Language: Jupyter Notebook - Size: 130 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 38 - Forks: 16
SadmanSakib93/Stratified-k-fold-cross-validation-Image-classification-keras
This python program demonstrates image classification with stratified k-fold cross validation technique.
Language: Jupyter Notebook - Size: 315 KB - Last synced at: 14 days ago - Pushed at: over 2 years ago - Stars: 37 - Forks: 15
ck37/superlearner-guide
SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.
Language: HTML - Size: 2.28 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 37 - Forks: 9
brainhack-school2020/abide-fmri
Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.
Language: Jupyter Notebook - Size: 42.5 MB - Last synced at: 11 months ago - Pushed at: over 1 year ago - Stars: 35 - Forks: 13
RubixML/Iris
The original lightweight introduction to machine learning in Rubix ML using the famous Iris dataset and the K Nearest Neighbors classifier.
Language: PHP - Size: 410 KB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 34 - Forks: 9
zensors/datatap-python
Focus on Algorithm Design, Not on Data Wrangling
Language: Python - Size: 1.15 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 34 - Forks: 3
jrnold/resamplr
R package cross-validation, bootstrap, permutation, and rolling window resampling techniques for the tidyverse.
Language: R - Size: 634 KB - Last synced at: 7 days ago - Pushed at: over 6 years ago - Stars: 34 - Forks: 4
RubixML/Credit
An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
Language: PHP - Size: 1.76 MB - Last synced at: 6 days ago - Pushed at: almost 3 years ago - Stars: 33 - Forks: 12
buomsoo-kim/Machine-learning-toolkits-with-python
Machine learning toolkits with Python
Language: Jupyter Notebook - Size: 8.57 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 33 - Forks: 12
farhanchoudhary/Machine_Learning_A-Z_All_Codes_and_Templates
All codes, both created and optimized for best results from the SuperDataScience Course
Language: Python - Size: 5.7 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 31 - Forks: 32
LudvigOlsen/groupdata2
R-package: Methods for dividing data into groups. Create balanced partitions and cross-validation folds. Perform time series windowing and general grouping and splitting of data. Balance existing groups with up- and downsampling or collapse them to fewer groups.
Language: R - Size: 1.84 MB - Last synced at: 13 days ago - Pushed at: 4 months ago - Stars: 27 - Forks: 3
tstran155/Optimization-of-building-energy-consumption
This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and multivariate) and use (1) Bayesian framework, (2) Pyomo package, (3) Genetic algorithm with local search, and (4) Pymoo package to find optimum design parameters and minimum energy consumption.
Language: Jupyter Notebook - Size: 5.31 MB - Last synced at: 7 days ago - Pushed at: about 2 years ago - Stars: 27 - Forks: 6
tlverse/origami
:game_die: :crystal_ball: Comprehensive Cross-Validation Engine
Language: R - Size: 1.08 MB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 27 - Forks: 9
sharmaroshan/Big-Mart-Sales-Prediction
Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to Support it.
Language: Jupyter Notebook - Size: 648 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 27 - Forks: 10
m-clark/introduction-to-machine-learning
A document covering machine learning basics. 🤖📊
Language: R - Size: 89.9 MB - Last synced at: 22 days ago - Pushed at: over 2 years ago - Stars: 26 - Forks: 13
roshansridhar/Multimodal-Sentiment-Analysis
Engaged in research to help improve to boost text sentiment analysis using facial features from video using machine learning.
Language: Jupyter Notebook - Size: 2.04 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 25 - Forks: 10
Pradnya1208/Telecom-Customer-Churn-prediction
Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Churn.
Language: Jupyter Notebook - Size: 8.64 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 24 - Forks: 10
ledell/cvAUC
Computationally efficient confidence intervals for cross-validated AUC estimates in R
Language: R - Size: 138 KB - Last synced at: 5 days ago - Pushed at: over 3 years ago - Stars: 23 - Forks: 11
sharmaroshan/Students-Performance-Analytics
Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization and at lat applying Classification Algorithms from Machine Learning to Separate Students with different grades
Language: Jupyter Notebook - Size: 1.07 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 23 - Forks: 12
RubixML/HAR
Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.
Language: PHP - Size: 23.9 MB - Last synced at: 6 days ago - Pushed at: almost 2 years ago - Stars: 22 - Forks: 7
gershonc/octopus-ml
A collection of handy ML and data visualization and validation tools. Go ahead and train, evaluate and validate your ML models and data with minimal effort.
Language: Jupyter Notebook - Size: 21.4 MB - Last synced at: 8 days ago - Pushed at: about 2 years ago - Stars: 22 - Forks: 5
PLBMR/mentalHealthDataAnalysis
Data Analysis on Mental Health.
Language: Jupyter Notebook - Size: 23.6 MB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 21 - Forks: 6
giscience-fsu/sperrorest
Spatial error estimation and variable importance
Language: R - Size: 117 MB - Last synced at: 11 days ago - Pushed at: 3 months ago - Stars: 20 - Forks: 3
business-science/modeltime.resample
Resampling Tools for Time Series Forecasting with Modeltime
Language: R - Size: 17.9 MB - Last synced at: 10 days ago - Pushed at: over 1 year ago - Stars: 19 - Forks: 5
deephub-ai/torch-handle
TorchHandle makes your PyTorch development more efficient and make you use PyTorch more comfortable
Language: Python - Size: 81.1 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 19 - Forks: 5
mdabros/SharpLearning.Examples
Code examples for SharpLearning
Language: C# - Size: 7.18 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 19 - Forks: 14
4Freye/panelsplit
A tool for performing cross-validation with panel data
Language: Python - Size: 7.66 MB - Last synced at: 10 days ago - Pushed at: 17 days ago - Stars: 18 - Forks: 1
RubixML/Colors
Demonstrating unsupervised clustering using the K Means algorithm and synthetic color data.
Language: PHP - Size: 251 KB - Last synced at: 6 days ago - Pushed at: almost 3 years ago - Stars: 18 - Forks: 3
kennedyCzar/URI-URL-CLASSIFICATION-USING-RECURRENT-NEURAL-NETWORK-SVM-AND-RANDOMFOREST
URI-URL Classification using Recurrent Neural Network, Support Vector and RandomForest. The Implementation results follows with classification report, confusion matrix and precision_recall_fscore_support for each validation result of a 10-fold crossval
Language: Python - Size: 71.6 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 18 - Forks: 4
TrainingByPackt/Applied-Deep-Learning-with-Keras
Solve complex real-life problems with the simplicity of Keras
Language: Jupyter Notebook - Size: 782 MB - Last synced at: 12 days ago - Pushed at: about 6 years ago - Stars: 18 - Forks: 28
NikhilaThota/CapstoneProject_House_Prices_Prediction
Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and suggested a best model to predict the final sale price of a house. Seaborn is used to plot graphs and scikit learn package is used for statistical analysis.
Language: Jupyter Notebook - Size: 7.91 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 18 - Forks: 13
arotem3/numerics
library of numerical methods using Armadillo
Language: C++ - Size: 3.44 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 17 - Forks: 5
kallentu/chowdr
Food object detection with base Faster R-CNN TensorFlow model with k-fold cross validation, resulting in volume estimation and producing caloric data.
Language: Python - Size: 16 MB - Last synced at: 3 days ago - Pushed at: over 4 years ago - Stars: 17 - Forks: 3
alexkychen/assignPOP
Population Assignment using Genetic, Non-genetic or Integrated Data in a Machine-learning Framework. Methods in Ecology and Evolution. 2018;9:439–446.
Language: R - Size: 8.81 MB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 16 - Forks: 4
desaichirayu/Personality-Attribution-using-Natural-Language-Processing
Aims at attributing the big-five personality traits to authors of essays by analyzing their works.
Language: Python - Size: 5.9 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 16 - Forks: 4
RubixML/Dota2
Build a classifier to predict the outcome of Dota 2 games with the Naive Bayes algorithm and results from 102,944 sample games.
Language: PHP - Size: 4.89 MB - Last synced at: 6 days ago - Pushed at: almost 2 years ago - Stars: 15 - Forks: 2
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
Language: Jupyter Notebook - Size: 11.9 MB - Last synced at: 18 days ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 11
JingweiToo/Machine-Learning-Toolbox
This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.
Language: MATLAB - Size: 97.7 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 3
sarweshsuman/keras-text-classification
CNN text classification using keras
Language: Python - Size: 16.6 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 15 - Forks: 6
tweichle/Predicting-Baseball-Statistics
Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn and TensorFlow-Keras
Language: Jupyter Notebook - Size: 19.1 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 14 - Forks: 4
franneck94/TensorCross
Cross Validation, Grid Search and Random Search for TensorFlow 2 Datasets
Language: Python - Size: 734 KB - Last synced at: 8 days ago - Pushed at: 11 months ago - Stars: 14 - Forks: 2
dtrckd/pymake
An experiment control system for reproducible research
Language: Python - Size: 1.43 MB - Last synced at: 11 days ago - Pushed at: about 1 year ago - Stars: 14 - Forks: 4
RubixML/Divorce
Use the K Nearest Neighbors algorithm to predict the probability of a divorce with high accuracy.
Language: PHP - Size: 87.9 KB - Last synced at: 6 days ago - Pushed at: almost 2 years ago - Stars: 14 - Forks: 11
fcorowe/sl
Introduction to Statistical Learning
Language: HTML - Size: 14.6 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 14 - Forks: 6
DiegoUsaiUK/Classification_Churn_with_Parsnip
Modelling with Tidymodels and Parsnip - A Tidy Approach to a Classification Problem
Language: HTML - Size: 627 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 14 - Forks: 8
S-B-Iqbal/Steel-Plates-fault-diagnosis-using-Classification-Models
The objective of the project is to classify steel plates fault into 7 different types. The end goal is to train several machine Learning Algorithms for automatic pattern recognition.
Language: Jupyter Notebook - Size: 1.65 MB - Last synced at: about 1 year ago - Pushed at: about 6 years ago - Stars: 14 - Forks: 9
mayer79/splitTools
Light weight R package to do fast data splitting for cross-validation or train/valid/test splits
Language: R - Size: 1020 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 13 - Forks: 5
PhilBoileau/cvCovEst
An R package for nonparametric covariance matrix estimation in high dimensions
Language: R - Size: 4.88 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 13 - Forks: 4
frahik/BMTME
Bayesian Multi-Trait Multi-Environment for genomic selection[R package] [Dev version]
Language: R - Size: 1.07 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 13 - Forks: 10
Amitha353/Machine-Learning-Regression
Machine-Learning-Regression
Language: Jupyter Notebook - Size: 10 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 12
sharmaroshan/Online-Shoppers-Purchasing-Intention
In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.
Language: Jupyter Notebook - Size: 4.64 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 13 - Forks: 11
WalidGharianiEAGLE/spatial-kfold
spatial resampling for more robust cross validation in spatial studies
Language: Python - Size: 2.17 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 12 - Forks: 0
v-sundaresan/truenet
DL tool for white matter hyperintensities segmentation
Language: Python - Size: 94.5 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 11 - Forks: 5
vangiangtran/BWGS
2024 BreedWheat Genomic Selection pipeline
Language: R - Size: 20 MB - Last synced at: 10 months ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 5
TuomoNieminen/Helsinki-Open-Data-Science
A DataCamp course for the University of Helsinki
Language: HTML - Size: 16.3 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 11 - Forks: 10
MrKhan0747/Heart-Disease-Detection
Machine learning model to detect heart attack. Various techinques applied data cleaning, visualization, and modeling
Language: Jupyter Notebook - Size: 627 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 11 - Forks: 9
SagarSharma4244/Cross-Validation
I have written a Medium post on this link:
Language: Python - Size: 14.6 KB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 11 - Forks: 4
devssh/svm
Learn to use Support Vector Machines in Python(sklearn) and R
Language: Jupyter Notebook - Size: 30.6 MB - Last synced at: 11 days ago - Pushed at: over 7 years ago - Stars: 11 - Forks: 25
somjit101/Facebook-Friend-Recommendation
This is a friend recommendation systems which are used on social media platforms (e.g. Facebook, Instagram, Twitter) to suggest friends/new connections based on common interests, workplace, common friends etc. using Graph Mining techniques. Here, we are given a social graph, i.e. a graph structure where nodes are individuals on social media platforms and a directed edges (or 'links') indicates that one person 'follows' the other, or are 'friends' on social media. Now, the task is to predict newer edges to be offered as 'friend suggestions'.
Language: Jupyter Notebook - Size: 770 KB - Last synced at: about 10 hours ago - Pushed at: about 1 year ago - Stars: 10 - Forks: 3
mlesnoff/rnirs
R Package not developed anymore (only maintenance). Replaced by package rchemo
Language: R - Size: 17.5 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 10 - Forks: 0
Pegah-Ardehkhani/Customer-Churn-Prediction-and-Analysis
Analysis and Prediction of the Customer Churn Using Machine Learning Models (Highest Accuracy) and Plotly Library
Language: Jupyter Notebook - Size: 1.99 MB - Last synced at: 19 days ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 4
mainkoon81/Study-09-MachineLearning-A
With some projects to develop "TOOLs" for better Modeling
Language: Jupyter Notebook - Size: 358 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 10 - Forks: 6
akhilvasvani/machine-learning-basics
Basics for Machine Learning
Language: Python - Size: 4.47 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 10 - Forks: 5
lyx199504/param-opt
本项目开发了一个机器学习和深度学习的训练工具。该训练工具基于sklearn和pytorch，不仅支持常规训练、交叉验证训练，还支持贝叶斯搜索参数，并可随时自动保存训练模型和日志。
Language: Python - Size: 141 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 1
