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Mar 23, 2024 - Jupyter Notebook
bias-variance-tradeoff
Here are 21 public repositories matching this topic...
Deep Learning project about the design and training of a model for Image Classification
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Nov 23, 2023 - Jupyter Notebook
This repository has been created just for warm-up in machine learning and there are my simulation files of UT-ML course HWs.
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Nov 5, 2023 - Jupyter Notebook
This repository contains a generalized regression analysis problem solved from scratch, using only the Numpy library.
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Aug 1, 2023 - Jupyter Notebook
Machine Learning Course [ECE 501] - Spring 2023 - University of Tehran - Dr. A. Dehaqani, Dr. Tavassolipour
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Jul 20, 2023 - Jupyter Notebook
MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
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Jun 12, 2023 - Jupyter Notebook
Estimating the parametric complexity (minimum description length) of binary classifiers.
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Jan 31, 2023 - Jupyter Notebook
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning
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Sep 5, 2022 - Python
Hyparameter Tuning for identifying the most significant variables that influence House Prices
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Mar 25, 2022 - Jupyter Notebook
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Jan 31, 2022 - Jupyter Notebook
This repository includes some detailed proofs of "Bias Variance Decomposition for KL Divergence".
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Sep 25, 2021
Single Layer Perceptrons (SLPs) and Multi-Layer Perceptrons (MLPs) from scratch, only with numpy, for classification and regression. MLPs with Keras for time-series prediction.
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Sep 1, 2021 - Jupyter Notebook
A python code for demonstration of Bias-Variance TradeOff concept in Machine Learning
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Feb 24, 2021 - Jupyter Notebook
Machine-Learning-Regression
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Sep 29, 2020 - Jupyter Notebook
Bias and Variance Tradeoff for debugging
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May 3, 2020 - MATLAB
TLDR: Generic Algorithms, Decision Trees, Value Iteration, POMDPs, Bias-Variance. Data preprocessing using statistical techniques and visualization is crucial to understand and analyze the data before utilizing them to train a machine learning model. Several fundamental techniques for preprocessing are presented here.
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May 2, 2020 - Python
Explanation of the Bias Variance Tradeoff in Machine Learning
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Feb 21, 2020
The projects are part of the graduate-level course CSE-574 : Introduction to Machine Learning [Spring 2019 @ UB_SUNY] . . . Course Instructor : Mingchen Gao (https://cse.buffalo.edu/~mgao8/)
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Jan 16, 2020 - Jupyter Notebook
Machine Learning programs in R
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Dec 23, 2019
This is a simple python example to demonstrate bias variance
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Oct 14, 2019 - Jupyter Notebook
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