一些常用的机器学习算法实现
-
Updated
Apr 19, 2018 - Python
#
logisticregression
Here are 134 public repositories matching this topic...
Karma of Humans is AI
notebook text-classification linear-regression matploblib naive-bayes-classifier pca-analysis logistic-regression gradient-descent confusion-matrix used-cars svm-classifier feature-scaling decision-tree-algorithm numpy-arrays logisticregression gridsearchcv knn-classifier
-
Updated
Mar 9, 2020 - Jupyter Notebook
It is a full stack ml app , compared multiple ml models(KNeighborsClassifier, LogisticRegression, RandomForestClassifier ) , later deploy the best model using flask , and the frontend is created with react.js
-
Updated
Nov 24, 2024 - Jupyter Notebook
This project involves the implementation of efficient and effective Logistic Regression (FROM SCRATCH) classifiers on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.
machine-learning mnist-classification logistic-regression logistics logisticregression mnist-classification-logistic
-
Updated
Jan 8, 2018 - Jupyter Notebook
Applying unsupervised learning algoriths on online shoppers intention data and model building
random-forest clustering naive-bayes-classifier pca-analysis pca logistic-regression unsupervised-learning knn decision-tree clustering-algorithm decision-tree-classifier kmeans-clustering classification-algorithims kmeans-algorithm unsupervised-machine-learning knn-classification agglomerative-clustering unsupervised-clustering logisticregression heirarchical-clustering
-
Updated
Dec 8, 2019 - HTML
Curso de Aprendizado de Máquina
-
Updated
Dec 3, 2019
A set of Machine Learning classification projects using R.
machine-learning r decision-tree-classifier classification-algorithm random-forest-classifier logisticregression
-
Updated
Sep 25, 2021 - R
This is a supervised machine learning project using telecom customer data to predict customers that would churn based on customer Age Group, Relationship Status, Subscribed Services, Charges, and Financial Responsibilities, etc.
machine-learning numpy pandas problem-solving svm-classifier churn-prediction telecommunication random-forest-classifier logisticregression standardscaler crossvalidation
-
Updated
Jul 7, 2022 - Jupyter Notebook
Used various Machine Learning Algorithms to performed a predictive task of classification to predict whether an individual makes over 50K a year or less on the 'US Census Income' dataset.
random-forest decision-trees datavisualization linearregression simple-linear-regression logisticregression datapreprocessing datamanipulation multiple-logistic-regression simple-logistic-regression
-
Updated
Aug 28, 2020 - R
Leverage external data and non-traditional methods to accurately assess and shortlist candidates with the relevant skillsets, experience and psycho-emotional traits, and match them with relevant job openings to drive operational efficiency and improve accuracy in the matching process
-
Updated
Apr 21, 2021 - R
I created a Machine Learning model that can be used to predict customer churn in credit card services.
datascience classification machinelearning logisticregression customerchurn randomforestclassifier gradientboostingclassifier
-
Updated
Sep 15, 2021 - Jupyter Notebook
A machine leaning based loan classifier using many classification techniques then, uses them trying to find the best parameters for each one of them hence, compares between them according to various metrics
ml classification jaccard-similarity logloss svm-classifier f1-score knn-classification logisticregression decisiontreeclassifier
-
Updated
Jan 1, 2022 - Jupyter Notebook
The Water Quality Checker uses machine learning to analyze water quality parameters such as pH, solids, and conductivity, to determine if water is safe to drink. By inputting the values into the form, the model can predict if the water is fit for consumption or not.
pandas seaborn logisticregression gridsearchcv streamlit gradientboostingclassifier baggingclassifier stackingclassifier
-
Updated
May 9, 2023 - Jupyter Notebook
The aim is to create a classifier that indicates whether a requested transaction is genuine or fraudulent.
data-science machine-learning python3 classification datavisualization dataanalysis random-forest-classifier logisticregression knn-classifier linearsvc decisiontreeclassifier pandas-python gaussiannb
-
Updated
Mar 23, 2023 - Jupyter Notebook
Supervised Machine Learning
python machine-learning random-forest regression logistic-regression logisticregression randomforestregressor
-
Updated
Oct 31, 2021 - Jupyter Notebook
Pima Diabetes Outcome
-
Updated
Jun 5, 2023 - Jupyter Notebook
Predicting the churn of telecommunication custumers
-
Updated
Jul 23, 2024 - Jupyter Notebook
heart disease detection using different ML algorithms Like SVM ,KNN, Ensemble method ,decision tree,LR
-
Updated
Jul 25, 2024 - Jupyter Notebook
This model predicts the winning probabilities for both teams during the second innings of an IPL match.
python opensource datascience randomforest machinelearning sportsanalytics logisticregression predictivemodeling cricketanalysis runchaseprediction kaggledataset cricketstats ipl2023 cricsheetdata
-
Updated
Apr 4, 2025 - Jupyter Notebook
This is Date Fruit Data taken from Kaggle. This data severs a classification problem to solved. Using various features of the fruit classify the fruit to its type.
-
Updated
May 19, 2022 - Jupyter Notebook
Improve this page
Add a description, image, and links to the logisticregression topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the logisticregression topic, visit your repo's landing page and select "manage topics."