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underfitting

Here are 19 public repositories matching this topic...

hussain0048 / Machine-Learning

This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python), Feature Selection technique in python etc. Follow Coursesteach for more content

python machine-learning model scikit-learn under classification logistic-regression unsupervised-learning decision-boundary feature-scaling scikitlearn-machine-learning multivariate-linear-regression underfitting multiple-features scikitlearn algbra inverse-and-transpose preprocessing-in-machine-learning gradient-descent-for-multiple-variables

Updated May 28, 2024
Jupyter Notebook

tazriahelal / Dropout_Regularization-

Dropout in Deep Learning

machine-learning deep-neural-networks deep-learning underfitting overfitting-reduced

Updated Mar 28, 2023
Jupyter Notebook

codeKk21 / Classification-Optimization-technique

Fraud detection over twitter feed data

svm classification logistic-regression gradient-descent optimization-algorithms twitter-data gaussian-kernel overfitting underfitting training-accuracy

Updated Feb 6, 2020
MATLAB

raffal88 / Machine-learning

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

Updated Nov 19, 2019
Jupyter Notebook

vc1492a / us-state-under-over-fitting

A visual example of the concepts of under and overfitting in supervised machine learning using U.S. state border data.

visualization d3 machine-learning supervised-learning d3js bias-variance overfitting underfitting

Updated Nov 18, 2018
Jupyter Notebook

XinshaoAmosWang / XinshaoAmosWang.github.io

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

Updated Oct 27, 2023
SCSS

alejandrods / Noise-Regularization-Method-Neural-Network

Adding noise as regularization method to reduce overffiting in neural networks

neural-network keras overfitting underfitting google-colab regularization-methods

Updated May 11, 2020
Jupyter Notebook

fardinabbasi / Decision_Tree

Machine Learning Course [ECE 501] - Spring 2023 - University of Tehran - Dr. A. Dehaqani, Dr. Tavassolipour

pruning decision-tree-classifier overfitting underfitting

Updated Jul 20, 2023
Jupyter Notebook

jamesdhope / regression-models

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

Updated Jul 22, 2017
Jupyter Notebook

Develop-Packt / Solving-a-Classification-Problem-with-DNNs-Using-PyTorch

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.

deep-learning pytorch neural-networks classification model-deployment overfitting underfitting

Updated Mar 26, 2020
Jupyter Notebook

Ninad077 / Machine_Learning-Gradient_descent_with_Logistic_Regression

Content: Classification, Sigmoid function, Decision Boundary, Cost function, Gradient descent, Overfitting, Regularisation

classification gradient-descent decision-boundary cost-function sigmoid-function overfitting underfitting regularisation

Updated May 6, 2024
Jupyter Notebook

778569 / Model-overfitting-and-Underfitting

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.

machine-learning overfitting underfitting underfitting-overfitting

Updated Feb 9, 2024

sivapanuganti / Underfitting-and-Overfitting

Brief study on Underfitting and Overfitting in Machine Learning

bias-variance overfitting underfitting

Updated Mar 16, 2018
Jupyter Notebook

Develop-Packt / Creating-Ensemble-Models-with-Python

Recognize underfitting and overfitting, implement bagging and boosting, and build a stacked ensemble model using a number of classifiers.

machine-learning algorithms bootstrapping stacking boosting bagging overfitting underfitting one-hot-encoding ensemble-modeling

Updated Mar 11, 2020
Jupyter Notebook

AnuragSChatterjee / Introduction-To-Machine-Learning-In-Python-On-Kaggle

Pursued an Introductory Machine Learning course in Python on Kaggle in my free time, where I practiced on a dataset and built a small model on Kaggle.

python machine-learning random-forest sklearn kaggle kaggle-dataset overfitting underfitting machinelearningmodel

Updated Aug 5, 2022
Jupyter Notebook

miguelangelnieto / Predicting-Boston-Housing-Prices

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

Updated Feb 1, 2018
HTML

sciencenerd880 / regression_polynomial

Supervised Learning - Regression Algorithm

linear-regression sklearn generalisation overfitting underfitting model-comparison-and-selection

Updated Dec 8, 2023
Jupyter Notebook

d4rthm4ul / ML-Overfitting-Lasso-and-Ridge-Regression

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

Updated Jun 22, 2021
Jupyter Notebook

AVINASH-KURREY / IMPORTANT-KEYS-ON-ML-MODEL

IMP KEYS OF ML MODEL

model bias-variance underfitting underfitting-overfitting traindata testd

Updated Jan 14, 2024

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