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brainhack-school2020 / abide-fmri

Star 35

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
  • Updated Aug 3, 2023
  • Jupyter Notebook

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

Star 26

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
  • Updated Jul 28, 2020
  • Jupyter Notebook

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

Star 17

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
  • Updated Jul 22, 2018
  • Jupyter Notebook

rudrajit1729 / Machine-Learning-Codes-And-Templates

Star 8

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
  • Updated Mar 28, 2020
  • Python

arasgungore / multiclass-classification-using-ensemble-learning

Star 5

Two ensemble models made from ensembles of LightGBM and CNN for a multiclass classification problem.

machine-learning deep-neural-networks deep-learning machine-learning-algorithms jupyter-notebook lightgbm ensemble-learning convolutional-neural-networks decision-trees convolutional-neural-network manifold-learning ensemble-model multiclass-classification ensemble-classifier categorical-cross-entropy kfold-cross-validation ensemble-machine-learning financial-machine-learning bayessearchcv ensemble-deep-learning
  • Updated Nov 28, 2023
  • Jupyter Notebook

prakHr / NeuralNetworksAndFuzzyLogic

Star 5

[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic

matlab logistic-regression ridge-regression keras-models kmeans-clustering multilayer-perceptron-network radial-basis-function extreme-learning-machine stochastic-gradient-descent maximum-likelihood-estimation maximum-a-posteriori-estimation iris-dataset cnn-architecture holdout likelihood-ratio-test kfold-cross-validation xor-neural-network stacked-autoencoder and-gate-implementation sklearn-metrics
  • Updated Nov 20, 2022
  • Jupyter Notebook

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