overfitting-reduced

There are 1 repository under overfitting-reduced topic.

ZerojumpLine / OverfittingUnderClassImbalance
[MICCAI2019 & TMI2020] Overfitting under Class Imbalance: Anaylsis and Improvements for Medical Image Segmentation.
class-imbalance overfitting-reduced
Language:Python 21
tazriahelal / Dropout_Regularization-
Dropout in Deep Learning
deep-learning deep-neural-networks machine-learning overfitting-reduced underfitting
Language:Jupyter Notebook 7
Juhi-Purswani / Offline_Signature_Verification
Classification of signatures in image format as genuine or fake. Created two models - one from scratch using deep learning layers and other using pre trained model VGG16. Before training used image pre processing techniques as well.
cnn-model overfitting-reduced signature-verification
Language:Jupyter Notebook 2
Arshpreet-Singh-1 / Parameter-Optimization-of-SVM-
This project demonstrates the use of multi-class SVM on the Adult Census Income dataset from the UCI Machine Learning Repository. T
classification optimization overfitting-reduced preprocessing svm
Language:Jupyter Notebook 0
awiksshiith-narang / Flower_recognition
The model uses CNNs to guess the flower in the image. At each epoch, the model's neurons undergo a random dropout and the data is augmented. Overfitting is eliminated. The dataset can be downloaded storage.googleapis.com/download/example_images/flower_photos.tgz.
cnn deep-learning image-recognition overfitting-reduced
Language:Jupyter Notebook 0
HarikrishnanK9 / Health_Profile_Analysis
Health Profile Analysis:Revealing Disorder Paterns,Medication Guidance and Risk Classification-ML Project
analysis catboost cluster-analysis data-science decision-tree explained-variance kmeans-clustering lgbm machine-learning outlier-removal overfitting-reduced pca-analysis random-forest screeplot xgboost colab
Language:Jupyter Notebook 0
akshayratnawat / BoostingAlgorithms
This project explores the working of various Boosting algorithms and analyzes the results across different algorithms. Algorithms Used are: Random Forest, Ada Boost, Gradient Boost and XG Boost
boostrap boosting-algorithms random-forest-classifier adaboost-learning adaboost-algorithm xgboost-algorithm gradient-boosting gridsearchcv randomsearch-cv overfitting-reduced shap featureimportances
Language:HTML
Jimoh1993 / UM6P-SCI-Data-Science-California-Housing-EDA-Project
This is the dataset used in the second chapter of Aurélien Géron's recent book 'Hands-On Machine learning with Scikit-Learn and TensorFlow'. It serves as an excellent introduction to implementing machine learning algorithms because it requires rudimentary data cleaning, has an easily understandable list of variables and sits at an optimal size between being to toyish and too cumbersome.
absolute-value data-visualization decision-trees exploratory-data-analysis latitude longitude machine-learning-algorithms overfitting-reduced predictive-modeling random-forest
Language:Jupyter Notebook
Neyung / DV
Data Analysis and Visualization in the US Health Insurance industry - UEH
data-analysis data-visualization hypothesis-testing overfitting-reduced regression-analysis
Language:Jupyter Notebook

overfitting-reduced

ZerojumpLine / OverfittingUnderClassImbalance

tazriahelal / Dropout_Regularization-

Juhi-Purswani / Offline_Signature_Verification

Arshpreet-Singh-1 / Parameter-Optimization-of-SVM-

awiksshiith-narang / Flower_recognition

HarikrishnanK9 / Health_Profile_Analysis

akshayratnawat / BoostingAlgorithms

Jimoh1993 / UM6P-SCI-Data-Science-California-Housing-EDA-Project

Neyung / DV