Dropout in Deep Learning
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Mar 28, 2023 - Jupyter Notebook
#
underfitting
Here are 23 public repositories matching this topic...
Fraud detection over twitter feed data
svm classification logistic-regression gradient-descent optimization-algorithms twitter-data gaussian-kernel overfitting underfitting training-accuracy
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Feb 6, 2020 - MATLAB
Python version of Andrew Ng's Machine Learning Course.
python linear-regression data-visualization neural-networks logistic-regression regularization support-vector-machine polynomial-regression spam-classifier principal-component-analysis kmeans-clustering overfitting underfitting backward-propagation forward-propagation minimize-function
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Nov 19, 2019 - Jupyter Notebook
A series of documented Jupyter notebooks implementing polynomial regression models and model performance analysis
linear-regression models performance-metrics learning-algorithm model-checking gradient-descent polynomial-regression linear-regression-models loss-functions gradient-descent-algorithm overfitting underfitting
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Jul 22, 2017 - Jupyter Notebook
Implementation of Decision Tree and Random Forest algorithms, with various hyperparameters, developed from scratch and using scikit-learn for comparison and analysis.
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Aug 13, 2024 - Jupyter Notebook
Adding noise as regularization method to reduce overffiting in neural networks
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May 11, 2020 - Jupyter Notebook
A visual example of the concepts of under and overfitting in supervised machine learning using U.S. state border data.
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Nov 18, 2018 - Jupyter Notebook
Xinshao Wang, Ex-Postdoc and Ex-Visit Scholar@University of Oxford, Ex-Senior Researcher@ZenithAI
sampling loss-functions overfitting underfitting robust-optimisation robust-learning fundamental-deep-learning example-weighting
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Oct 27, 2023 - SCSS
Evaluating classifier using Python focus on evaluation metrics and hyperparameter turning
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Oct 13, 2024 - Jupyter Notebook
Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
cross-validation statistical-analysis variance bias model-complexity overfitting model-tuning underfitting learning-curves metric-performance
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Feb 1, 2018 - HTML
Supervised Learning - Regression Algorithm
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Dec 8, 2023 - Jupyter Notebook
In this repository you will learn how to handle overfitting with the help of Lasso and Ridge Regression regularizations, also working mechanism of those while using useful charts.
github visualization python chart data machine-learning scikit-learn seaborn datascience matplotlib regularization ridge-regression lasso-regression overfitting underfitting train-test-split countplots
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Jun 22, 2021 - Jupyter Notebook
Make use of PyTorch's custom modules to define a network architecture and train a model. Investigate how to improve a model's performance and deploy your model for wider use.
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Mar 26, 2020 - Jupyter Notebook
Overfitting and Underfitting in Machine Learning
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Mar 3, 2025
IMP KEYS OF ML MODEL
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Jan 14, 2024
Brief study on Underfitting and Overfitting in Machine Learning
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Mar 16, 2018 - Jupyter Notebook
This repository provides a series of interactive Jupyter Notebook exercises designed to teach fundamental deep learning concepts through hands-on implementation and experimentation.
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Jun 2, 2025 - Jupyter Notebook
This project helps exercising my machine learning modelling skills and evaluation techniques on image-based models.
numpy scikit-learn cross-validation scikit-image logistic-regression confusion-matrix multiclass-classification generalization histogram-equalization overfitting underfitting multiclass-logistic-regression multiclass-image-classification
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Feb 19, 2025 - Jupyter Notebook
Overfitting is often caused by using a model with too many parameters or if the model is too powerful for the given dataset. On the other hand, underfitting is often caused by the model with too few parameters or by using a model that is not powerful enough for the given dataset. In this we are discussing about that.
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Feb 9, 2024
Content: Classification, Sigmoid function, Decision Boundary, Cost function, Gradient descent, Overfitting, Regularisation
classification gradient-descent decision-boundary cost-function sigmoid-function overfitting underfitting regularisation
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May 6, 2024 - Jupyter Notebook
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