learning-curve

There are 0 repository under learning-curve topic.

faridcher / ml-course
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
machine-learning learning-curve pca linear-regression gradient-descent svm principal-component-analysis clustering neural-network k-means recommender-system classification regularization anomalydetection
Language:R 167
utkuufuk / coursera-machine-learning
My lecture notes and assignment solutions for the Coursera machine learning class taught by Andrew Ng.
machine-learning coursera-machine-learning svm logistic-regression linear-regression neural-network regularization learning-curve
Language:MATLAB 34
vaibhavnaagar / machineLearning-exercises
Machine Learning Exercises from Online Course (Coursera)
machine-learning linear-regression gradient classification learning-curve logistic-regression pca feedforward spam-classification polynomial-regression fmincg
Language:MATLAB 8
mohadeseh-ghafoori / Coursera-Machine-Learning-Specialization
gradient-descent linear-regression contour-plot matplotlib numpy mean-normalization learning-curve feature-scaling feature-engineering polynomial-regression sklearn standard-normal decision-boundary logistic-regression regularization feature-mapping regularization-to-avoid-overfitting cost-function
Language:Jupyter Notebook 7
Machine-Learning-in-Molecular-Sciences
nickcafferry / Machine-Learning-in-Molecular-Sciences
2017 Summer School on the Machine Learning in the Molecular Sciences. This project aims to help you understand some basic machine learning models including neural network optimization plan, random forest, parameter learning, incremental learning paradigm, clustering and decision tree, etc. based on kernel regression and dimensionality reduction, feature selection and clustering technology.
artificial-neural-networks random-forest kernel-ridge-regression gaussian-processes dimensionality-reduction feature-selection clustering learning-curve parameter-learning delta-learning-rule machine-learning
Language:Jupyter Notebook 5
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.
linear-regression regularized-linear-regression bias-variance learning-curve cross-validation cost-function gradient polynomial-regression regularization-methods random
Language:MATLAB 4
spChalk / Vaccine-Sentiment-Classifier
:syringe: Vaccine Sentiment Classifier is a deep learning classifier trained on real world twitter data, that distinguishes 3 types of tweets: Neutral, Anti-vax & Pro-vax.
attention-mechanism bag-of-words bert bidirectional-rnn classification-report count-vectorizer data-cleaning data-preprocessing glove-embeddings gru hashing-vectorizer hyperparameter-tuning imbalanced-data learning-curve lstm n-grams optuna roc-curve softmax-regression tf-idf
Language:Jupyter Notebook 4
deeptechlabs / tuner.algo.extrapol
Tuner Implementation of Extrapolating Learning Curves
learning-curve extrapolating-learning-curves frank-hutter orion hyperparameter-optimization
Language:Python 3
farrellwahyudi / Predicting-Ad-Clicks-Classification-by-Using-Machine-Learning
In this project I used ML modeling and data analysis to predict ad clicks and significantly improve ad campaign performance, resulting in a 43.3% increase in profits. The selected model was Logistic Regression. The insights provided recommendations for personalized content, age-targeted ads, and income-level targeting, enhancing marketing strategy.
ad-click-prediction business-recommendation classification-models click-through-rate confusion-matrix data-analysis feature-importance impact-analysis learning-curve logistic-regression machine-learning
Language:Jupyter Notebook 3
ttungl / Machine-Learning
Machine learning techniques, such as Linear Regression, Logistic Regression, Neural Networks (feedforward propagation, backpropagation algorithms), Diagnosing Bias/Variance, Evaluating a Hypothesis, Learning Curves, Error Analysis, Support Vector Machines, K-Means Clustering, PCA, Anomaly Detection System, and Recommender System.
learning-curve machine-learning neural-network logistic-regression pca linear-regression support-vector-machine error-analysis octave ocr anomaly-detection feedforward-neural-network backpropagation
Language:MATLAB 3
AsajuHuishi / examples_sklearn.learning_curve
Some applications on functions of sklearn.learning_curve
machine-learning visualization sklearn-library learning-curve
Language:Python 2
Predicting-Boston-Housing-Prices
sushantdhumak / Predicting-Boston-Housing-Prices
Machine Learning Nano-degree Project : To assist a real estate agent and his/her client with finding the best selling price for their home
python scikitlearn-machine-learning decision-tree-regression model-complexity model-selection model-validation matplotlib-pyplot regression-models boston-housing-price-prediction boston-housing-prices boston-housing-dataset gridsearchcv cross-validation learning-curve complexity-curve complexity-analysis machine-learning housing-prices boston scikit-learn
Language:Jupyter Notebook 2
Jayveersinh-Raj / ML_IU_Study_Material
This is a collection of markdown, notebooks and/or other types of files. The images used inside are mostly from Andrew Ng and his courses. This is useful for topic vise study, and preparations. It might contain some images from the ML course offered at Innopolis University. A student from IU can use this to get good score in that course, it covers all the topics covered (as of 2022) in that course, and more.
bias variance epsilon feature-engineering gradient-descent learning-curve momentum normalization vectorization norm-as-gradient logistic-regression-classifier
Language:Jupyter Notebook 1
konkyrkos / sentiment-classifier-classic-algorithms
Tweet Sentiment Classifier using Classic Machine Learning Algorithms. This repository provides my solution for the 2nd Assignment for the course of Text Analytics for the MSc in Data Science at Athens University of Economics and Business.
sentiment-classifier classifier-metrics-precision f1-scores recall probabilistic-classifiers dummyclassfier sgd logistic-regression random-forest multinomial-naive-bayes metrics statistical-significance-test learning-curve statistics python sklearn
Language:Jupyter Notebook 1
SajjadAli54 / cataract-classification
Cataract classification
cataract-detection gaussian-filter gaussian-naive-bayes gray-level-coocurence-matrix knn-classification learning-curve logistic-regression machine-learning model-deployment random-forest svm-classifier validation-curves
Language:Jupyter Notebook 1
sflender / deep-learning-test
Exploring deep learning on Cooley
augmentation learning-curve convnet data-augmentation tensorflow gpu ipynb-notebook cooley
Language:Jupyter Notebook 1
stephaniaslis / Salary
Previsão do salário (acima ou abaixo de 50K) utilizando decision tree classifier, otimização por random search, cross validation, validation curve, learning curve.
decision-tree-classifier random-search learning-curve validation-curves cross-validation optimization
Language:Jupyter Notebook 1
faysal37 / titanic_hosted_by_kaggle
A Comprehensive Guide to Titanic Machine Learning from Disaster
univariate-distributions feature-engineering outlier-detection imputation bivariate-analysis multivariate-analysis data-transformation model-training cross-validation hyperparameter-tuning model-selection feature-importance learning-curve confusion-matrix precision recall f1-score classification-report precision-recall-curve auc-roc-curve
Language:Jupyter Notebook 0
hongguopeng / Machine-Learning
machine-learning bayesian-optimization recommendation-system learning-curve expectation-maximization imbalanced-data
Language:Jupyter Notebook 0
kushalchaudhari21 / BiasVariance
Implementing regularised linear regression and using it to study models with different bias-variance properties. Insights for applying machine learning.
machine-learning learning-curve andrew-ng coursera fine-tuning linear-regression bias-variance
Language:MATLAB 0
schatzederwelt / customer-churn-prediction
Предиктивный анализ оттока клиентов
pandas python downsampling dummy-classifier learning-curve upsampling validation-curve classification-report precision-recall-curve spearman-correlation data-pipelines relative-frequency-table classification data-analysis decision-tree downsampling-data logistic-regression pearson-correlation random-forest
Language:Jupyter Notebook 0
sehresh92 / Data-Mining-Project
Hi, I am Sehresh Mehboob and Welcome to my Data Mining Project on SuperMarket dataset
clustering decision-trees learning-curve plot-data predictive-modeling supermarket-dataset supermarket-data-analysis rapidminer
0
wanderly0501 / Predicting-Boston-Housing-Price
Supervised regression to predict Boston housing price
decision-tree-regression supervised-learning cross-validation gridsearchcv learning-curve
Language:HTML 0
WojciechSylwester / Iris_EDA_Model_Comparison
Solving a classification problem with model comparison using learning curves.
exploratory-data-analysis hyperparameter-tuning learning-curve model-comparison pandas python scikit-learn seaborn data-science
Language:Jupyter Notebook 0
CZheee / Deep-Learning
Deep Learning using apple quality dataset
classification confusion-matrix deep-learning keras learning-curve python sklearn tensorflow
Language:Python
divyachandramouli / Ex5_Diagnostics_of_debugging_algorithms
Regularized linear regression model to predict the water flow from a dam | Examined effects of bias vs variance
bias-variance debugging machine-learning learning-curve regularization linear-regression
Language:MATLAB
emrecanduran / Bike-Rental-Regression-Models
This repository contains code for a bike rental prediction models including Random Forest, XGBoost, GradientBoosting, and Lasso Regression.
learning-curve optuna regression residuals
Language:Jupyter Notebook
rebeccak1 / boston-housing
Predicting Boston Housing Prices
cross-validation learning-curve statistical-analysis model-tuning model-complexity bias-variance python boston-housing-price-prediction udacity-machine-learning-nanodegree
Language:Jupyter Notebook
Satkarjain / Boston_housing
Use the DecisionTreeRegressor for predicting the house price based on Boston housing dataset.
machine-learning python sklearn decision-tree-regression gridsearchcv learning-curve boston-housing-dataset
Language:Jupyter Notebook
srinivas-sateesh / my-kaggle-notebooks
Kaggle Notebooks Repo
machine-learning regression learning-curve scikit-learn aiml kaggle
Language:Jupyter Notebook
wlodpawlowski / basic-js-themes
Default and basic console applications, which use for learning necessary themes of JavaScript
javascript ecmascript6 console-application learning-curve learning-js testing-practices arrays functions dates number-methods date-types boolean
Language:JavaScript
wlodpawlowski / country-organization-sorter
Mini sorter for country organizations based on jQuery.
jquery js javascript sorter web-application learning-curve html5 css3
Language:HTML
wlodpawlowski / dom-test-app
Developed simple web-application for testing (DOM) functionalities based on Bootstrap
bootstrap4 js javascript ecmascript6 html5 sass css3 dom learning-curve
Language:HTML
wlodpawlowski / Number-guessing-game
Developed number guessing game base on Plain JavaScript
js javascript game number-game guessing-game learning-curve training
Language:HTML
wlodpawlowski / socrates-ui-testing
Developing very simple and default user interface
html5 css3 javascript js ui website learning-curve
Language:HTML
wlodpawlowski / zeus-ui
Developed user interface with own preferable customization
js javascript html5 css3 ui web-design learning-curve customizable-ui
Language:HTML

learning-curve

faridcher / ml-course

utkuufuk / coursera-machine-learning

vaibhavnaagar / machineLearning-exercises

mohadeseh-ghafoori / Coursera-Machine-Learning-Specialization

nickcafferry / Machine-Learning-in-Molecular-Sciences

kk289 / ML-Regularized_Linear_Regression-Bias_Variance-MATLAB

spChalk / Vaccine-Sentiment-Classifier

deeptechlabs / tuner.algo.extrapol

farrellwahyudi / Predicting-Ad-Clicks-Classification-by-Using-Machine-Learning

ttungl / Machine-Learning

AsajuHuishi / examples_sklearn.learning_curve

sushantdhumak / Predicting-Boston-Housing-Prices

Jayveersinh-Raj / ML_IU_Study_Material

konkyrkos / sentiment-classifier-classic-algorithms

SajjadAli54 / cataract-classification

sflender / deep-learning-test

stephaniaslis / Salary

faysal37 / titanic_hosted_by_kaggle

hongguopeng / Machine-Learning

kushalchaudhari21 / BiasVariance

schatzederwelt / customer-churn-prediction

sehresh92 / Data-Mining-Project

wanderly0501 / Predicting-Boston-Housing-Price

WojciechSylwester / Iris_EDA_Model_Comparison

CZheee / Deep-Learning

divyachandramouli / Ex5_Diagnostics_of_debugging_algorithms

emrecanduran / Bike-Rental-Regression-Models

rebeccak1 / boston-housing

Satkarjain / Boston_housing

srinivas-sateesh / my-kaggle-notebooks

wlodpawlowski / basic-js-themes

wlodpawlowski / country-organization-sorter

wlodpawlowski / dom-test-app

wlodpawlowski / Number-guessing-game

wlodpawlowski / socrates-ui-testing

wlodpawlowski / zeus-ui