bias-variance

Here, we implement regularized linear regression to predict the amount of water flowing out of a dam using the change of water level in a reservoir. In the next half, we go through some diagnostics of debugging learning algorithms and examine the effects of bias v.s. variance.

random linear-regression cross-validation gradient polynomial-regression learning-curve regularized-linear-regression bias-variance cost-function regularization-methods

UpdatedJun 21, 2020
MATLAB

VipinindKumar /MLExercisesPython

Star4

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

UpdatedFeb 11, 2018
Jupyter Notebook

friendly /genridge

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Generalized Ridge Trace Plots for Ridge Regression

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

UpdatedDec 2, 2024
HTML

faizan1234567 /Machine-Learning

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Machine learning with MATLAB/Octave, coding machine learning algorithms from scratch

machine-learning matlab linear-regression coursera octave neural-networks supervised-learning classification logistic-regression unsupervised-learning support-vector-machines bias-variance principle-component-analysis k-means-clustering

UpdatedMar 24, 2022
MATLAB

JuzerShakir /Linear_Regression

Star3

A Mathematical Intuition behind Linear Regression Algorithm

machine-learning algorithm vector linear-regression linear-algebra mse matrices gradient-descent linear-equations hypothesis regularized-linear-regression feature-scaling multivariate-regression bias-variance univariate-regressions house-price-prediction cost-function partial-derivative mean-square-error mean-normalization

UpdatedNov 4, 2021

bhattbhavesh91 /bias_variance_example

Sponsor

Star2

This is a simple python example to demonstrate bias variance

python pandas bias-variance bias-variance-tradeoff

UpdatedOct 14, 2019
Jupyter Notebook

ahujaraman /machine-learning-coursera-stanford

Star2

📊 📈 In depth explained my assignment solutions. Grade: 97.3%

machine-learning clustering linear-regression coursera assignment neural-networks pca logistic-regression recommender-system regularization beginner support-vector-machines coursera-machine-learning machine-learning-coursera principal-component-analysis bias-variance

UpdatedDec 7, 2018
MATLAB

flowstateeng /Coursera-Deep-Learning

Sponsor

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A five-course specialization covering the foundations of Deep Learning, from building CNNs, RNNs & LSTMs to choosing model configurations & paramaters like Adam, Dropout, BatchNorm, Xavier/He initialization, and others.

deep-learning optimization convergence batch-normalization yolo image-classification regularization convolutional-neural-networks object-detection residual-networks rmsprop bias-variance adam-optimizer mini-batch-gradient-descent neural-style-transfer gradient-checking

UpdatedApr 26, 2019
Jupyter Notebook

rahulvaish /MachineLearning-Python

Star2

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

UpdatedMay 14, 2020

a-azad /geospatial.modeling

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3D property modeling using geostatistics

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

UpdatedMay 23, 2018
PostScript

saminens /Machine-Learning-Models

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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

UpdatedMar 10, 2020
Jupyter Notebook

kalthommusa /Udacity-Intro-to-Deep-Learning-Introduction-to-Neural-Network

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Collection of my notes from Udacity's Intro to Deep Learning--> Introduction to Neural Networks course.

machine-learning deep-learning neural-network linear-regression dnn artificial-intelligence dropout neural-networks classification logistic-regression regularization weights bias-variance gradient-descent-algorithm generalization activation-functions

UpdatedMar 2, 2021

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