Topic: "bias-variance"
lijqhs/deeplearning-notes
Notes for Deep Learning Specialization Courses led by Andrew Ng.
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m-clark/introduction-to-machine-learning
A document covering machine learning basics. 🤖📊
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kabirnagpal/ML-Track
This repository is a recommended track, designed to get started with Machine Learning.
Language: Jupyter Notebook - Size: 10.1 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 19 - Forks: 14
Nikronic/Coursera-Machine-Learning 📦
In this repository I implemented all assignments in python for the purpose of learning python
Language: Jupyter Notebook - Size: 9.61 MB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 4
flsing/machine-learning
Andrew Ng's Machine Learning Course
Language: Matlab - Size: 26.8 MB - Last synced at: 9 months ago - Pushed at: over 6 years ago - Stars: 13 - Forks: 14
Breakend/SarsaVsExpectedSarsa
An a bias-variance tradeoff of Sarsa vs. Expected Sarsa with experiments.
Language: Jupyter Notebook - Size: 1.14 MB - Last synced at: about 1 year ago - Pushed at: about 8 years ago - Stars: 8 - Forks: 4
MLO-lab/Uncertainty_Estimates_via_BVD
The official source code to: Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition (AISTATS'23)
Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 0
SpringerNLP/Chapter2
Chapter 2: Machine Learning Basics
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friendly/genridge
Generalized Ridge Trace Plots for Ridge Regression
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VipinindKumar/MLExercisesPython
Machine Learning exercises in Python (Jupyter notebooks)
Language: Jupyter Notebook - Size: 672 KB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 4 - Forks: 2
JuzerShakir/Linear_Regression
A Mathematical Intuition behind Linear Regression Algorithm
Size: 296 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0
kalthommusa/Udacity-Intro-to-Deep-Learning-Introduction-to-Neural-Network
Collection of my notes from Udacity's Intro to Deep Learning--> Introduction to Neural Networks course.
Size: 8.65 MB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0
kk289/ML-Regularized_Linear_Regression-Bias_Variance-MATLAB
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.
Language: MATLAB - Size: 2.32 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0
rahulvaish/MachineLearning-Python
Notes on Machine Learning with DataSets and Examples
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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
Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 2
bhattbhavesh91/bias_variance_example
This is a simple python example to demonstrate bias variance
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flowstateeng/Coursera-Deep-Learning
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.
Language: Jupyter Notebook - Size: 105 MB - Last synced at: 1 day ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 0
ahujaraman/machine-learning-coursera-stanford
📊 📈 In depth explained my assignment solutions. Grade: 97.3%
Language: Matlab - Size: 37.3 MB - Last synced at: 9 months ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0
a-azad/geospatial.modeling
3D property modeling using geostatistics
Language: PostScript - Size: 32.7 MB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 1
AsherJingkongChen/deep-learn-assign-1
Deep Learning Assignment about: Least Squares, Regression, Logistic, Gradient Descent, Bias-Variance Decomposition, PCA.
Language: Jupyter Notebook - Size: 4.43 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
faizan1234567/Machine-Learning
Machine learning with MATLAB/Octave, coding machine learning algorithms from scratch
Language: MATLAB - Size: 58.2 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0
andrea-liliana/ML-Projects
Academic projects carried out as part of the Introduction to Machine Learning course.
Language: Python - Size: 2.05 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0
Arek-KesizAbnousi/LASSO-vs-SCAD-vs-MCP_Estimators
Comparing Three Penalized Least Squares Estimators: LASSO,SCAD and MCP.
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katlass/Cornell-Machine-Learning
Practice from My Machine Learning Certificate from Cornell
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dilettagoglia/impl-NN-from-scratch
🧠Implementation of a Neural Network from scratch in Python for the Machine Learning Course.
Language: Python - Size: 16.4 MB - Last synced at: about 22 hours ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
daksh-intwala/House-Price-Prediction--Regression-Anaylsis
A simple regression analysis of house prices in USA with 11 features selected on MECE Framework
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pat-alt/optimalSubsampling
This project investigates if and how systematic subsampling can be applied to imbalanced learning.
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AntonMu/BiasVarianceTradeoff
Explanation of the Bias Variance Tradeoff in Machine Learning
Size: 322 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0
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.
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Mooseburger1/Machine-Learning
Machine Learning principles in Octave/Matlab from Andrew Ng Specialization
Language: Matlab - Size: 26.4 MB - Last synced at: about 1 month ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0
armahdavi/AI_ML_assisted_breast_cancer_tumor_detection
Consolidating tutorial codes for breast cancer tumor detection, covering ML fundamentals like classification, feature engineering, training, evaluation, and key performance metrics.
Language: Jupyter Notebook - Size: 127 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
drkocoglu/Machine_Learning_Class
Machine Learning Class - ECE - TTU - Spring 2020
Language: MATLAB - Size: 15.2 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
s1dewalker/Model_Validation
Model Management in Python. Steps involved in Model Validation and tuning. Testing Model Assumptions in Factor Analysis with OLS Regression.
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OneDividedByX/Linear-Regression-Tests
Tests related to linear regression
Language: Jupyter Notebook - Size: 1.92 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
VaishakhMenon/Data-Analysis
Data analysis learning
Size: 6.26 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
emrecanduran/Marketing-Campaign-Response-Prediction
Develop a model to predict which retail customers will respond to a marketing campaign. Logistic Regression shows the best performance.
Language: Jupyter Notebook - Size: 4.65 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
koushik16/Bias-Variance-Decomposition
Implementing bias-variance-noise decomposition on binary data from Gaussian distributions. Create functions for noise, bias, and variance computation, leveraging Bayes' rule, ridge regression, and model averaging. Aim to visualize error changes with regularization.
Language: Jupyter Notebook - Size: 297 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
pommevilla/bias-variance-intro
A short introduction to bias and variance with an interactive example
Language: JavaScript - Size: 601 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
dheeraj-19/MachineLearning
Repo to store all the concepts and codes that I have learned and worked on in the Machine Learning field
Language: Jupyter Notebook - Size: 3.17 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
reece-iriye/Exploring-Errors-in-Regression
Explored Machine Learning regression models of varying flexibility and how flexibility relates to MSE, Bias, and Variance in our predictions for MATH 4377: Math of Machine Learning. Visualizations of the Bias-Variance trade-off are included, and the project heavily relied on Spline Regression degrees of freedom for flexibility measuring.
Language: Jupyter Notebook - Size: 6.08 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
jackyan540/cs181-homework2
Spring 2021 Machine Learning (CS 181) Homework 2
Language: Python - Size: 1.18 MB - Last synced at: 21 days ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
nitesh585/MCSC-201-Machine-Learning
Language: Jupyter Notebook - Size: 1.72 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
JuzerShakir/Logistic_Regression
A Mathematical Intuition behind Logistic Regression Algorithm
Size: 229 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
danigfavero/machine-learning
Trabalhos e notas de aula da disciplina MAC0460 - Introdução ao Aprendizado de Máquina, no primeiro semestre de 2021, no IME-USP.
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veeral-agarwal/Bias-Variance-Tradeoff
Linear regression and the bias-variance tradeoff in machine learning, MDL | Spring 2021
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ayushsharma-crypto/Bias-Variance-Tradeoff
A python code for demonstration of Bias-Variance TradeOff concept in Machine Learning
Language: Jupyter Notebook - Size: 341 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
rohithteja/K-Nearest-Neighbours
Experimental analysis of KNN by using waveform dataset
Language: Python - Size: 225 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
shejz/Supervised-Machine-Learning
Supervised-Learning, an AI+Training course series focuses on topics like cross-validation and splitting strategies, evaluation metrics, supervised machine learning algorithms (like linear and logistic regression, support vector machines, and tree-based methods like random forest, gradient boosting, and XGBoost), and interpretability.
Language: Jupyter Notebook - Size: 1.4 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
devosmitachatterjee2018/Linear_Statistical_Models
The project involves the multivariate regression analysis of a dataset.
Language: R - Size: 1.72 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
sid230798/Regularization_Bias_Variance_Andrew_NG
Bias and Variance Tradeoff for debugging
Language: MATLAB - Size: 211 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
DeepNeuralAI/ML-Bias_vs_Variance
ML - Bias vs Variance - Python
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hridayns/Assignments-of-Machine-Learning-Course-created-by-Stanford-University-taught-by-Andrew-Ng
Assignments of Machine Learning Course created by Stanford University taught by Andrew Ng
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flowstateeng/Coursera-Machine-Learning
Machine Learning course that covers the most effective ML techniques, the theoretical underpinnings of learning, the practical knowledge needed to quickly and powerfully apply these techniques to new problems, and best practices in innovation as it pertains to machine learning and AI.
Language: MATLAB - Size: 28.1 MB - Last synced at: 1 day ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0
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.
Language: HTML - Size: 1.68 MB - Last synced at: 21 days ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 1
divyachandramouli/Ex5_Diagnostics_of_debugging_algorithms
Regularized linear regression model to predict the water flow from a dam | Examined effects of bias vs variance
Language: Matlab - Size: 211 KB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0
enesozi/ML-course-HW1
Bias/Variance dilemma, cross-validation and work on Iris Data Set from UCI Machine Learning Repository
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payoj21/ML_Projects
Contains assignments I did in ML course
Language: Python - Size: 1.39 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0
hamzafar/titanic_competition
Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0
rebeccak1/boston-housing
Predicting Boston Housing Prices
Language: Jupyter Notebook - Size: 109 KB - Last synced at: 7 months ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0
