logisticregression

There are 1 repository under logisticregression topic.

lining0806 / MachineLearningAlgorithm
一些常用的机器学习算法实现
apriori desiciontree viterbi naivebayes logisticregression regression tensorflow keras sklearn
Language:Python 92
the-mrinal / ML-Notebook
Karma of Humans is AI
numpy-arrays matploblib linear-regression logistic-regression logisticregression confusion-matrix decision-tree-algorithm feature-scaling gradient-descent naive-bayes-classifier knn-classifier text-classification svm-classifier pca-analysis notebook used-cars gridsearchcv
Language:Jupyter Notebook 26
mdaiyub / Diabetes-Prediction
Diabetes mellitus, commonly known as diabetes is a metabolic disease that causes high blood sugar. The hormone insulin moves sugar from the blood into your cells to be stored or used for energy. With diabetes, your body either doesn’t make enough insulin or can’t effectively use its insulin.
machine-learning numpy pandas seaborn logisticregression randomforestregressor svc xgboost logisticregressioncv decisiontreeclassifier gradientboostingclassifier extratreesclassifier
Language:Jupyter Notebook 5
Melanee-Melanee / NLP-Project
Natural language processing on tweets
nlp machine-learning cnn-keras logisticregression naivebayes random-forest-classifier
Language:Python 5
kanwartaimoor / Classification
Multi class and Binary Classification through Logistic Regression and SVM
python logisticregression classification binary-classification multiclass-classification multiclass-logistic-regression svm svm-classifier
Language:Python 4
kunal-mallick / Water-Quality
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.
baggingclassifier gradientboostingclassifier logisticregression pandas seaborn streamlit stackingclassifier gridsearchcv
Language:Jupyter Notebook 4
KarthikMurugadoss1804 / Prediction-of-customer-churn
In this project I intend to predict customer churn on bank data.
linearsvc kneighborsclassifier decisiontreeclassifier logisticregression gaussian-naive-bayes-implementation randomforestclassifier adaboostclassifier python3 machine-learning-algorithms pandas scaling-methods outlier-detection imbalanced-data exploratory-data-analysis research
Language:Jupyter Notebook 3
mb16biswas / fullstack_heart_discease_prediction_app
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
react flask kneighborsclassifier logisticregression randomforestclassifier
Language:Jupyter Notebook 3
prabormukherjee / ML_visualizer
Machine learning model Visualizer in web using streamlit
visualizer heroku streamlit cloud-hosting logisticregression randomforestclassifier svc-svm
Language:Python 3
seb-in / 10-Classifiers-Confusion-Matrix-and-Accuracy
SVM, Logistic Regression, K-Nearest Neighbors Classifier, GaussianNB, Random Forest, XGBoost, DecisionTree Classifier, Ensembled Classifier, ExtraTrees Classifier, Voting Classifier
svm logisticregression k-nearestneighborsclassifier gaussiannb randomforest xgboost decisiontreeclassifier ensembledclassifier extra-treesclassifier votingclassifier
Language:Jupyter Notebook 3
AhmedWageh97 / Machine-Learning-Projects
This repository contains some machine learning projects as a practise on machine learning course on Coursera for Prof. Andrew Ng from Stanford University.
machine-learning logistic-regression logistic-regression-algorithm logisticregression logistic-regresion classification classification-algorithm classification-model binary-classificaiton binary-classifier binary-classifiers binary-classifications matlab octave machinelearning machine-learning-coursera machine-learning-algorithms machine-learning-practice machine-learning-matlab machine-learning-projects
Language:MATLAB 2
anshkumar2311 / AI-Powered-Churn-Prediction
An AI-powered dashboard to predict customer churn, visualize key factors, and help businesses reduce losses by retaining at-risk users.
logisticregression matplotlib pandas plotly-express python3 random-forest scikit-learn seaborn streamlit xgboost
Language:Jupyter Notebook 2
denistanjingyu / IBM-HR-Analytics
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
analytics attrition cart data-science hr ibm logisticregression pharmaceuticals r
Language:R 2
fidaear / detect-DDOS-using-Machine-Learning
accuracy confusionmatrix cybersecurity datapreprocessing ddosattack featureengineering logisticregression machinelearning modelevaluation networksecurity neuralnetwork precision randomforest supervisedlearning
Language:Jupyter Notebook 2
heeh / legal_advice
Legal Taxonomy (https://taxonomy.legal/) Classifier on Reddit /r/legaladvice
classifier reddit scikit-learn logisticregression glove-embeddings tf-idf
Language:Jupyter Notebook 2
ibodumas / logistic_regression
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.
logistic-regression logisticregression logistics machine-learning mnist-classification mnist-classification-logistic
Language:Jupyter Notebook 2
munir-bd / Supervised_Learning_Regression_Customer_Churn_Prediction
Context: Customer behavior prediction to retain customers
lstm-neural-networks lstm regression knn-classification knn pca pca-analysis random-forest random-forest-classifier logistic-regression logisticregression decision-trees decision-tree-classifier eda exploratory-data-analysis data-science data-visualization
Language:HTML 2
Safaa-p / Telecommunication-churn-prediction
Predicting the churn of telecommunication custumers
classification clustering gridsearchcv kneighborsclassifier logisticregression
Language:Jupyter Notebook 2
SevdanurGENC / Machine-Learning-Lecture-Notes
Machine Learning Lecture Notes
decisiontrees unsupervisedlearning regularization logisticregression linearregression probabitlity linearalgebra naivebayes introductiontoml machinelearning
Language:Jupyter Notebook 2
SuperYanka / imdb-sentiment-analysis-nlp
Sentiment analysis of IMDB movie reviews using TF-IDF and Word2Vec embeddings. Compared Logistic Regression, Naive Bayes and Random Forest models. /// Анализ обзоров фильмов на IMDB с использованием векторных представлений TF-IDF и Word2Vec. Сравнение моделей логистической регрессии, наивного байесовского алгоритма и случайного леса.
imdb-dataset kaggle logisticregression machine-learning nlp nlp-machine-learning python randomforest sentiment-analysis sklearn tf-idf word2vec
Language:Jupyter Notebook 2
272006Sakshi / Machine-Learning-Projects
A collection of essential machine learning algorithms implemented from scratch and with libraries. Ideal for students and beginners to understand core ML concepts through hands-on examples.
decisiontree eda knn labelencoder logisticregression onehotencoder outlierdetection svm gradientdecrent l1l2regularization linrarregression nivebayes kmeansclustering batchgd sochasticgd
Language:Jupyter Notebook 1
5hraddha / interconnect
Interconnect : Clients Churn Prediction using ML
decisiontreeclassifier lgbmclassifier logisticregression matplotlib numpy ordinalencoder pandas randomforestclassifier scipy scipy-stats seaborn sklearn standardscaler dummyclassifier
Language:Jupyter Notebook 1
5hraddha / sentiment-analysis
An innovative system for filtering and categorizing movie reviews
countvectorizer dummyclassifier lgbmclassifier logisticregression matplotlib minmaxscaler nltk nltk-stopwords nltk-tokenizer numpy pandas seaborn spacy tfidfvectorizer torch tqdm transformers
Language:Jupyter Notebook 1
AchrafSL / Predictive-Modeling-for-Agriculture-DataCamp
A machine learning project that helps farmers choose the best crop based on soil metrics (N, P, K, pH). This project identifies Potassium (K) as the single most predictive soil feature for crop selection, providing a cost-effective strategy for resource-limited farmers. Built with Python, scikit-lear
classification eda logisticregression machine-learning matplotlib multiclass-classification pandas prediction python scikit-learn
Language:Jupyter Notebook 1
Ali-jalil88 / -Bank-Marketing-Machine-Learning
Bank Marketing Classifcation machine learning using 6 Models each of models given another accuracy
decisiontreeclassifier gaussiannb logisticregression numpy pandas plotly seaborn sklearn standardscaler randomforestclassifier xgbclassifier
Language:Jupyter Notebook 1
AUX-441 / Language-Detector-Model
Language Detector Loads and cleans text data, trains a language classification model using TF-IDF and Logistic Regression, evaluates it, and enables interactive language prediction with saved model reuse.
confusionmatrix datacleaning joblib languagedetection logisticregression machinelearning machinelearning-python modelevaluation naturallanguageprocessing python scikitlearn textclassification tfidf multilingualai
Language:Python 1
codekush123 / Fake_News_Detector
A machine learning–powered tool that classifies news articles as real or fake based on their content. This project uses basic machine learning techniques to clean and vectorize text, combined with supervised learning models to detect misinformation.
evaluation-metrics logisticregression machine-learning streamlit text-preprocessing tf-idf-vectorizer
Language:Jupyter Notebook 1
farshad257 / Regrassion_Income_Forcasting
A powerful stacked ensemble model for income prediction, combining GradientBoosting, AdaBoost, Bagging, Linear Regression, and Decision Trees. Achieves an impressive R² of 0.8761 on the RoS_sample_submission dataset.
adaboostregressor decisiontreeregressor extratreesregressor gaussiannb gradientboostingregressor grid-search-cross-validation kneighborsregressor linearregression logisticregression machine-learning prediction randomforestregressor regression scikit-learn stackingregressor support-vector-regression xgbregressor baggingregressor votingregressor
Language:Jupyter Notebook 1
JustinBenito / MathsandMachines
Machine learning Algorithms but the implementations done by me and no external libraries used
algorithms linearregression logic logisticregression machinelearning maths ml supportvectormachine
Language:Python 1
LohChiaHeung / Diabetes-Prediction-Using-Logistic-Regression
A machine learning project for diabetes prediction using Logistic Regression, SVM, and Random Forest. After model tuning, Random Forest achieved the best performance with 78.8% accuracy and 86.0% ROC-AUC, improving early diabetes detection.
artificialintelligence logisticregression machinelearning randomforest svm
Language:Jupyter Notebook 1
mahursh / DiabetesPrediction
matplotlib numpy randomforestclassifier sklearn svc logisticregression machine-learning ml seaborn xgboost
Language:Jupyter Notebook 1
RimTouny / User-Forest-Cover-Type-Prediction
Predicting Colorado forest cover types using diverse ML models for classification. Baseline creation, feature selection, comparison, and tuning optimize accuracy in this University of Ottawa Master's Machine Learning course final project (2023).
baseline-performance decisiontreeclassifier eda feature-selection knn logisticregression machine-learning naive-bayes-classifier svm tsne-visualization ensembles-techniques boosting ensemble-learning bagging bagging-ensemble
Language:Jupyter Notebook 1
samira-yousefzadeh / Parkinson-s-Disease-Detection
Machine learning project for early detection of Parkinson’s disease using voice data. Includes preprocessing, feature selection, model training, and evaluation using classifiers like Logistic Regression, KNN, Decision Tree, Random Forest, and AdaBoost. Focused on non-invasive, accurate diagnosis support.
adaboost decision-trees knn logistic-regression logisticregression random-forest accuracy confusion-matrix f1-score numpy pandas percision recall svm-classifier
Language:Jupyter Notebook 1
siw2009 / Sabermetrics_research
충남과학고 인포매티카 1학년들의 세이버매트릭스 & 로지스틱회귀 생구현
csv csv-parser logistic logistic-regression logisticregression logistics logit logit-model sabermetrics
Language:Jupyter Notebook 1
SURESHBEEKHANI / Maximizing-Agricultural-Yield
Unlock the potential of agricultural production with innovative optimization techniques. Explore strategies, technologies, and practices to enhance crop yields, improve efficiency, and sustainably increase output. Revolutionize farming practices and cultivate a thriving agricultural ecosystem
dataanalysis datascience kmeansclustering logisticregression machinelearning predictivemodeling sustainablefarming
Language:Jupyter Notebook 1
Uni-Creator / Lung_Cancer_Prediction
This project predicts lung cancer risks using machine learning models like Random Forest, Logistic Regression, and SVM. It analyzes patient data with features such as age, smoking habits, and symptoms. Data preprocessing, visualization, and performance evaluation ensure accurate predictions for early diagnosis.
aiinhealthcare datascience healthcareai machinelearning python scikitlearn lungcancerprediction medicalanalysis datavisualization decisiontreeclassifier featureengineering knn logisticregression naivebayesclassifier randomforestclassifier svm-classifier
Language:Jupyter Notebook 1

logisticregression

lining0806 / MachineLearningAlgorithm

the-mrinal / ML-Notebook

mdaiyub / Diabetes-Prediction

Melanee-Melanee / NLP-Project

kanwartaimoor / Classification

kunal-mallick / Water-Quality

KarthikMurugadoss1804 / Prediction-of-customer-churn

mb16biswas / fullstack_heart_discease_prediction_app

prabormukherjee / ML_visualizer

seb-in / 10-Classifiers-Confusion-Matrix-and-Accuracy

AhmedWageh97 / Machine-Learning-Projects

anshkumar2311 / AI-Powered-Churn-Prediction

denistanjingyu / IBM-HR-Analytics

fidaear / detect-DDOS-using-Machine-Learning

heeh / legal_advice

ibodumas / logistic_regression

munir-bd / Supervised_Learning_Regression_Customer_Churn_Prediction

Safaa-p / Telecommunication-churn-prediction

SevdanurGENC / Machine-Learning-Lecture-Notes

SuperYanka / imdb-sentiment-analysis-nlp

272006Sakshi / Machine-Learning-Projects

5hraddha / interconnect

5hraddha / sentiment-analysis

AchrafSL / Predictive-Modeling-for-Agriculture-DataCamp

Ali-jalil88 / -Bank-Marketing-Machine-Learning

AUX-441 / Language-Detector-Model

codekush123 / Fake_News_Detector

farshad257 / Regrassion_Income_Forcasting

JustinBenito / MathsandMachines

LohChiaHeung / Diabetes-Prediction-Using-Logistic-Regression

mahursh / DiabetesPrediction

RimTouny / User-Forest-Cover-Type-Prediction

samira-yousefzadeh / Parkinson-s-Disease-Detection

siw2009 / Sabermetrics_research

SURESHBEEKHANI / Maximizing-Agricultural-Yield

Uni-Creator / Lung_Cancer_Prediction