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Topic: "regularized-logistic-regression"

AmishaSomaiya/Machine-Learning

Machine Learning Code Implementations in Python

Language: Python - Size: 36.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

FarzamTP/Logistic-Regression

In this project I tried to implement logistic regression and regularized logistic regression by my own and compare performance to sklearn model.

Language: Python - Size: 51.8 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0

vrn25/Machine-Learning-Coursera

Solutions to Coursera's Intro to Machine Learning course in python

Language: Jupyter Notebook - Size: 21.8 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 4

AashutoshSINHA/Predictive-Analysis-Using-Social-Profile-in-Online-P2P-Lending

Online peer-to-peer (P2P) lending markets enable individual consumers to borrow from, and lend money to, one another directly. We study the borrower-, loan- and group- related determinants of performance predictability in an online P2P lending market by conceptualizing financial and social strength to predict borrower rate and whether the loan would be timely paid

Language: Jupyter Notebook - Size: 2.44 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 2

vadimtyuryaev/RegrCoeffsExplorer

A tool for visualizing the coefficients of various regression models, taking into account empirical data distributions.

Language: R - Size: 5.65 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

lokk798/House-Prices-Regression

House prices prediction using various regression models.

Language: Jupyter Notebook - Size: 1.61 MB - Last synced at: 23 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

frank01101/gradient_descent

Gradient descent algorithm from scratch for linear and logistic regression with feature scaling and regularization.

Language: Python - Size: 16.6 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

AyazDyshin/Machine-Learning-Project

Machine learning project on a given dataset, the goal was to compare several classification models and pick the best one for the given dataset

Language: R - Size: 556 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

vargovema/ccf_classification

Credit card fraud detection

Language: R - Size: 11 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

YogiOnBioinformatics/Multi-Epigenomics-ElasticNet-Ordinal-Regression

Ordinal Logistic Regression with ElasticNet Regularization using Multi-Assay Epigenomics Data from CHDI NeuroLINCS Consortium.

Language: Jupyter Notebook - Size: 153 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

JuzerShakir/Logistic_Regression

A Mathematical Intuition behind Logistic Regression Algorithm

Size: 229 KB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

bmarroc/machine-learning

Jupyter notebooks implementing Machine Learning algorithms in Scikit-learn and Python

Language: Jupyter Notebook - Size: 3.12 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

MauroCE/LogisticRegression

Base R Implementation of Logistic Regression from Scratch with Regularization, Laplace Approximation and more

Language: R - Size: 23.4 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

bumblebee26/Machine-Learning-Coursera

This are my solutions to the course Machine Learning from Coursera by Prof. Andrew Ng

Language: MATLAB - Size: 20.9 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

Related Topics
logistic-regression 8 machine-learning 7 regularized-linear-regression 5 linear-regression 4 numpy 3 regression-analysis 2 principal-component-analysis 2 decision-trees 2 kmeans-clustering 2 neural-networks 2 regression 2 gradient-descent 2 machine-learning-algorithms 2 lasso-regression 2 regularization 2 exploratory-data-analysis 1 dataanalysis 1 data-mining 1 feature-engineering 1 machinelearningmodel 1 naive-bayes-algorithm 1 bioinformatics 1 data-clea 1 confusion-matrix 1 accuracy 1 vectorization 1 ridge-regression 1 python 1 feature-scaling 1 classification 1 vision-representations 1 simclr 1 self-supervised-learning 1 representation-learning 1 visualization 1 statistics-for-data-science 1 selectiveinference 1 rpackage 1 postselectioninference 1 lm 1 glmnet 1 glm 1 empirical-data 1 confidence-intervals 1 coefficients-of-linear-regression 1 sigmoid-function 1 probability 1 overfitting 1 multiclass-classification 1 logistic-function 1 logarithms 1 logarithmic-regression 1 hypothesis 1 cost-function 1 bias-variance 1 algorithm 1 ordinal-regression 1 epigenomics 1 elasticnet 1 computational-biology 1 rbf-kernel 1 logistic-regression-models 1 logistic-regression-classifier 1 logistic-regression-algorithm 1 laplace-approximation 1 gradient-ascent 1 bayesian-logistic-regression 1 base-r 1 regression-models 1 lasso-regularization 1 support-vector-machines 1 recommender-systems 1 python-3 1 pca-implementation 1 matplotlib 1 machine-learning-design 1 machine-learning-curves 1 k-means-clustering 1 jupyter-notebooks 1 gradient-descent-algorithm 1 feature-normalization 1 data-compression 1 backpropagation-learning-algorithm 1 anomaly-detection-algorithm 1 pytorch 1 polynomial-kernel 1 native-python 1 mnist-classification 1 lloyds-algorithm 1 kmeans-clustering-algorithm 1 kernel-ridge-regression 1 coordinate-descent-algorithm 1 central-limit-theorem 1 random-forest 1 r-programming 1 support-vector-machine 1 recommender-system 1 anomaly-detection 1 undersampling-technique 1 credit-card-fraud 1