kfold-cross-validation

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brainhack-school2020 /abide-fmri

Star42

Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.

plotly cross-validation reproducible-science project-management autism fmri jupyter-notebooks nilearn scikitlearn-machine-learning leave-one-out-cross-validation abide-data kfold-cross-validation resting-state-fmri preparation-script cv-classifier brainhack-school support-vector-classification group-kfold-cross-validation

UpdatedOct 10, 2024
Jupyter Notebook

vikrantarora25 /Car-Price-Prediction-Highly-Comprehensive-Linear-Regression-Project-

Star32

A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in the U.S automobile industry. A highly comprehensive analysis with detailed explanation of all steps; data cleaning, exploration, visualization, feature selection, model building, evaluation & MLR assumptions vali…

python data-science machine-learning linear-regression scikit-learn sklearn cross-validation regression seaborn matplotlib outlier-detection recursive-algorithm regression-models outlier-removal regression-algorithms regression-analysis price-prediction kfold-cross-validation recursive-feature-elimination rfe

UpdatedJul 28, 2020
Jupyter Notebook

LorranSutter /PredictStock-SVM

Star29

ML model for stock trend prediction using Python

python machine-learning random-forest numpy scikit-learn sklearn pandas python3 matplotlib support-vector-machine k-means kfold-cross-validation trend-prediction stock-trend-prediction

UpdatedSep 15, 2020
Python

sourcecode369 /ml-algorithms-on-scikit-and-keras

Star18

Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..

machine-learning natural-language-processing reinforcement-learning deep-learning clustering numpy scikit-learn keras regression pandas xgboost classification dimensionality-reduction matplotlib t-sne data-preprocessing grid-search association-rule-learning kfold-cross-validation multiarm-bandit

UpdatedJul 22, 2018
Jupyter Notebook

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

Star14

bootstrap random-forest exploratory-data-analysis feature-selection supervised-learning adaboost feature-engineering gradient-boosting supervised-machine-learning decisiontree bagging knn-regression support-vector-regression regression-algorithms kfold-cross-validation ensemble-machine-learning

UpdatedOct 26, 2019
Jupyter Notebook

satishgunjal /House-Price-Prediction-Project

Star13

Contains all my data science projects.

python data-science numpy pandas-dataframe linear-regression pandas python3 dimensionality-reduction matplotlib outlier-detection feature-engineering data-cleaning hyperparameter-tuning kfold-cross-validation gridsearchcv pandas-python colab-notebook data-loading matplotlib-python numpy-array

UpdatedMay 1, 2020
Jupyter Notebook

Ashutosh27ind /PGDDS-Capstone-Project

Star13

Credit Card Fraud Detection Project

random-forest svm xgboost logistic-regression decision-trees knn smote adasyn kfold-cross-validation credit-risk

UpdatedJul 19, 2020
Jupyter Notebook

yu9824 /kennard_stone

Star11

This is an algorithm for evenly partitioning.

python scikit-learn kfold-cross-validation train-test-split

UpdatedNov 18, 2024
Python

wanderly0501 /Architectural-Picture-Classification

Star9

Classify pictures by architectural style and recognize objects with CNNs and YOLO

pca-analysis image-classification image-recognition convolutional-neural-networks transfer-learning architectural-patterns data-augmentation svm-classifier keras-tensorflow yolov2 kfold-cross-validation gridsearchcv

UpdatedJun 4, 2018
Jupyter Notebook

rudrajit1729 /Machine-Learning-Codes-And-Templates

Star9

Codes and templates for ML algorithms created, modified and optimized in Python and R.

feature-selection datascience feature-extraction thompson-sampling dimensionality-reduction ucb ann regression-models nlp-machine-learning kmeans-clustering apriori-algorithm hierarchical-clustering classification-algorithims parameter-tuning regression-algorithms xgboost-model kfold-cross-validation cnn-classification eclat-algorithm

UpdatedMar 28, 2020
Python

ozlemkorpe /Machine-Learning-with-MATLAB

Star8

Machine Learning and Data Mining cheatsheet and example operations prepared in MATLAB

machine-learning matlab naive-bayes ensemble decision-trees support-vector-machines knearest-neighbor-algorithm kfold-cross-validation discriminant-analysis

UpdatedAug 10, 2020
MATLAB

ogunlao /foundations_of_ml

Star8

Machine Learning algorithms built from scratch for AMMI Machine Learning course

linear-regression naive-bayes-classifier kmeans-clustering coordinate-descent kl-divergence perceptron-learning-algorithm kfold-cross-validation gaussian-discriminant-analysis

UpdatedJul 5, 2020
Jupyter Notebook

alicevillar /titanic-kaggle

Star7

Titanic rescue prediction using Decision Tree, SVM, Logistic Regression, Random Forest and KNN. The best accuracy score was from Random Forest: 84.35%

machine-learning random-forest numpy sklearn pandas seaborn titanic-kaggle logistic-regression matplotlib decision-trees kfold-cross-validation machine-learning-projects knn-algorithm support-vector-classification performance-measurements

UpdatedJun 9, 2021
Jupyter Notebook

AryaKoureshi /EEG-Signal-Classification-using-CSP-Features

Star6

This repository contains a Python implementation for solving a two-class classification problem using CSP features extracted from EEG data. The classification task involves discriminating between mental tasks, specifically imagining foot movement and performing mental discrimination.

python csp svm eeg mne lda knn kfold-cross-validation