#

bias-variance

Here are 65 public repositories matching this topic...

lijqhs / deeplearning-notes

Notes for Deep Learning Specialization Courses led by Andrew Ng.

data-science machine-learning statistics deep-learning neural-network algorithms notes tensorflow coursera cnn hyperparameter-optimization data-analysis summary deeplearning backpropagation andrew-ng bias-variance sequence-models overfitting

Updated Aug 14, 2022

ML-Track

kabirnagpal / ML-Track

This repository is a recommended track, designed to get started with Machine Learning.

visualization python machine-learning clustering numpy scikit-learn regression pandas classification bias-variance dimesion-reduction

Updated Oct 18, 2020
Jupyter Notebook

flsing / machine-learning

Andrew Ng's Machine Learning Course

machine-learning linear-regression coursera neural-networks logistic-regression recommender-system support-vector-machines principal-component-analysis andrew-ng regularized-linear-regression bias-variance anomaly-detection multi-class-classification k-means-clustering

Updated Jul 27, 2018
MATLAB

m-clark / introduction-to-machine-learning

A document covering machine learning basics. 🤖📊

python machine-learning r neural-network random-forest svm cross-validation regularization knn loss-functions bias-variance

Updated Dec 16, 2022
R

SpringerNLP / Chapter2

Chapter 2: Machine Learning Basics

machine-learning validation crf scikit-learn exploratory-data-analysis seq2seq gradient-descent svm-classifier bias-variance

Updated Jul 23, 2019
Jupyter Notebook

bhattbhavesh91 / bias_variance_example

This is a simple python example to demonstrate bias variance

python pandas bias-variance bias-variance-tradeoff

Updated Oct 14, 2019
Jupyter Notebook

Nikronic / Coursera-Machine-Learning

In this repository I implemented all assignments in python for the purpose of learning python

python machine-learning deep-learning linear-regression artificial-neural-networks logistic-regression regularization polynomial-regression coursera-machine-learning bias-variance multiclass-classification

Updated Nov 1, 2020
Jupyter Notebook

Breakend / SarsaVsExpectedSarsa

An a bias-variance tradeoff of Sarsa vs. Expected Sarsa with experiments.

reinforcement-learning sarsa expected-sarsa bias-variance td-learning

Updated Feb 10, 2017
Jupyter Notebook

rahulvaish / MachineLearning-Python

Notes on Machine Learning with DataSets and Examples

machine-learning linear-regression data-visualization logistic-regression machinelearning fp-growth polynomial-regression decision-tree svm-classifier pandas-profiling bias-variance naive-bayes-classification knn-classification k-means-clustering

Updated May 14, 2020

VipinindKumar / MLExercisesPython

Machine Learning exercises in Python (Jupyter notebooks)

python machine-learning neural-network linear-regression sklearn pca logistic-regression recommender-system support-vector-machines bias-variance anomaly-detection multi-class-classification k-means-clustering

Updated Feb 11, 2018
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

Machine-Learning-Models

saminens / Machine-Learning-Models

Machine Learning models on Anomaly detection, Recommender system on movies based on IMDB dataset, Digit Identification using Logistic regression, Neural network based facial feature recognition, PCA, SVM based Spam filter, Logistic Regression - Nelder Mead

machine-learning coursera collaborative-filtering pca-analysis neural-networks recommendation-system logistic-regression regularization digital-image-processing bias-variance anomaly-detection kmeans-image-compression k-means-implementation-in-python k-means-clustering andrew-ng-course kmeans-clustering-algorithm

Updated Mar 10, 2020
Jupyter Notebook

bodlaranjithkumar / MachineLearning

Machine Learning Algorithms for the programming tasks of Stanford online course from Andrew Ng on Coursera

matlab linear-regression machine-learning-algorithms coursera neural-networks logistic-regression recommender-system regularization support-vector-machines kernels principal-component-analysis bias-variance anomaly-detection k-means-clustering

Updated Sep 12, 2017
MATLAB

JuzerShakir / Predicting_Boston_Housing_Prices

Builded 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.

machine-learning numpy sklearn pandas python3 supervised-learning matplotlib data-exploration udacity-nanodegree boston-housing-price-prediction model-evaluation bias-variance k-fold model-validation decision-tree-regression mlfnd gridsearchcv r2-score

Updated Oct 4, 2018
HTML

a-azad / geospatial.modeling

3D property modeling using geostatistics

simulation optimization matlab geospatial-data filters geostatistics gslib bias-variance geosciences

Updated May 23, 2018
PostScript

ml-repos / Deep-Neural-Network

Create a Deep Neural Network from Scratch using Python3.

deep-learning neural-network tensorflow python3 batch-normalization regularization transfer-learning hyperparameter-tuning bias-variance gradient-descent-algorithm adam-optimizer cost-function backward-propagation activation-functions

Updated Sep 20, 2020
HTML

sivapanuganti / Underfitting-and-Overfitting

Brief study on Underfitting and Overfitting in Machine Learning

bias-variance overfitting underfitting

Updated Mar 16, 2018
Jupyter Notebook

friendly / genridge

Generalized Ridge Trace Plots for Ridge Regression

graphics ridge-regression regression-models principal-component-analysis bias-variance singular-value-decomposition

Updated Feb 29, 2024
R

hebaashraf21 / Employee_Attrition_Prediction

Machine Learning project - CMP2024 - Computer Engineering - Cairo University

machine-learning logistic-regression regularization svm-classifier bias-variance linearsvm adaboos

Updated May 23, 2024
Jupyter Notebook

daksh-intwala / House-Price-Prediction--Regression-Anaylsis

A simple regression analysis of house prices in USA with 11 features selected on MECE Framework

error-handling hyperparameter-optimization standardization bayesian-data-analysis hyperparameter-tuning ols-regression bias-variance normalization minmax-algorithm lasso-regression regression-analysis

Updated Sep 9, 2021
HTML

Improve this page

Add a description, image, and links to the bias-variance topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the bias-variance topic, visit your repo's landing page and select "manage topics."