logisticregression
There are 110 repositories under logisticregression topic.
lining0806/MachineLearningAlgorithm
一些常用的机器学习算法实现
the-mrinal/ML-Notebook
Karma of Humans is AI
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.
Melanee-Melanee/NLP-Project
Natural language processing on tweets
kanwartaimoor/Classification
Multi class and Binary Classification through Logistic Regression and SVM
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.
prabormukherjee/ML_visualizer
Machine learning model Visualizer in web using streamlit
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
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.
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
heeh/legal_advice
Legal Taxonomy (https://taxonomy.legal/) Classifier on Reddit /r/legaladvice
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.
KarthikMurugadoss1804/Prediction-of-customer-churn
In this project I intend to predict customer churn on bank data.
liangzihao8301/AI-programs
AI 小项目代码、笔记
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
munir-bd/Supervised_Learning_Regression_Customer_Churn_Prediction
Context: Customer behavior prediction to retain customers
Safaa-p/Telecommunication-churn-prediction
Predicting the churn of telecommunication custumers
SevdanurGENC/Machine-Learning-Lecture-Notes
Machine Learning Lecture Notes
5hraddha/interconnect
Interconnect : Clients Churn Prediction using ML
5hraddha/sentiment-analysis
An innovative system for filtering and categorizing movie reviews
Ali-jalil88/-Bank-Marketing-Machine-Learning
Bank Marketing Classifcation machine learning using 6 Models each of models given another accuracy
DataRohit/Date-Fruit-Classification
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.
exelero565/DS_Project_6
кластеризация клиентов на основе их покупательской способности
JustinBenito/MathsandMachines
Machine learning Algorithms but the implementations done by me and no external libraries used
kimkukhwa/Predicting-Credit-Card-Approvals
Machine Learning. I am building a prediction model, using Logistic Regression, and evaluating its performance with confusion matrix, GridsearchCV,
Leangonplu/Default_Prediction_for_Loan_Data
Default_Prediction_for_Loan_Data
mbfakourii/Drug-Score-Rating
Implementation of Drug database with LinearSVC, BernoulliNB, MultinomialNB, LogisticRegression, Perceptron and MLPClassifier models
MusaMasango/Credit-Card-Fraud-Detection-Project
The aim is to create a classifier that indicates whether a requested transaction is genuine or fraudulent.
Nessrin1990/Analyse-des-sentiments
Sentiment analysis of Election USA 2020
nicoardimas/Credit_Card_Customer_Churn
I created a Machine Learning model that can be used to predict customer churn in credit card services.
PedrooFelix/AMBEV-Case
Retrieving Insights - Hypothesis Tests - Logistic Regression - Churn - Model - Python - DecisionTreeRegression
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).
SilasPenda/Telecom-Customer-Churn-Prediction
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.
SivashankariThirugnanam/Titanic
The Titanic dataset is a well-known dataset in the field of data analysis and machine learning. The Titanic dataset is a well-known dataset in the field of data analysis and machine learning.
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
temmyfioye/PimaDiabetesOutcome
Pima Diabetes Outcome