GitHub topics: logisticregression
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.
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arya-io/IPL-Run-Chase-Prediction
This model predicts the winning probabilities for both teams during the second innings of an IPL match.
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jigyasaG18/Credit-Card-Fraud-Detection-using-Machine-Learning
This repository presents a credit card fraud detection system utilizing a Logistic Regression model trained on a dataset of 284,807 transactions with significant class imbalance. After employing under-sampling for balance, the model achieves a test accuracy of around 93.40%, showcasing the effectiveness of ML in identifying fraudulent transactions.
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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.
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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
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harmanveer-2546/NBA-HOMECOURT-ADVANTAGE-DATA-ANALYSIS
In this repo we're diving into NBA game data to explore the phenomenon of home court advantage.
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nartmadi/hate-speech-classifier
A web application that detects hate speech in text using a supervised machine learning model. Includes a Flask backend for inference and a React frontend for user interaction. Containerized for easy deployment.
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jchav77/heart-disease-classification-project
A machine learning project that predicts the presence of heart disease using patient data. This project explores various ML models, with Logistic Regression performing best at 89% accuracy. It includes data visualization, model comparison, and feature importance analysis.
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5hraddha/interconnect
Interconnect : Clients Churn Prediction using ML
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5hraddha/sentiment-analysis
An innovative system for filtering and categorizing movie reviews
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hema123-4/smart-heart-disease-detection
heart disease detection using different ML algorithms Like SVM ,KNN, Ensemble method ,decision tree,LR
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Safaa-p/Telecommunication-churn-prediction
Predicting the churn of telecommunication custumers
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the-mrinal/ML-Notebook
Karma of Humans is AI
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superingram/Heart_disease_prediction
This is a binary classification problem. There are numerous factors that can contribute to the presence of heart disease. What is the most important factor causing heart disease? Can an accurate classifier be built to predict the presence of heart disease in patients? These are the questions we want to answer with this project.
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Ahmed-Maher77/Diabetes-Prediction-App-using-Machine-Learning
Diabetes Prediction: Using machine learning to classify individuals as diabetic or non-diabetic based on health data, enabling early intervention and improved healthcare outcomes.
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Nessrin1990/Analyse-des-sentiments
Sentiment analysis of Election USA 2020
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VictorUmunna/Python-DS-ML-Bootcamp
Mini Data Science projects using the various Data Science tools and Machine Learning algorithms I learnt - Pandas, Seaborn, Numpy, Linear Regression, K Nearest Neighbour, , Decison Trees and Random Forest
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amiegirl/Fellowship_AI
Sentiment Analysis of Movies Dataset
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lining0806/MachineLearningAlgorithm
一些常用的机器学习算法实现
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Zeba-karkhanawala/Enhancing-Airbnb-Experience-for-Users-and-Hosts
Group project for the course BUDT737: Enterprise Cloud Computing and Big Data
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MiracleOny/Credit-Risk-Analysis
Over- and under-sampled data using four algorithms and compared two machine learning models that reduce bias to identify the most reliable credit risk prediction model.
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Alireza-shm/CatBoost_SOO_Prediction
Spatial Prediction of Socio-Economic Effects on Schedule Overrun Occurrences of Roadway Projects using Machine Learning Techniques
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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).
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GitCraigRash/Supervised_Machine_Learning
Using Supervised Machine Learning to predict the success of a Falcon 9 landing.- DataScience
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Adityasangle/CognitiveAI-ML
This Repository contains cognitiveai class's all practice labs.
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NavyaKiran/IDSProject
Sentiment Analysis
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Gui-Sitton/DetectNegativeReviews
Create a model to classify reviews as positive and negative.
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Wayneotc/Heart-Failure
This repository contains the code and data for a comprehensive survival analysis and prediction study conducted on patients with advanced heart failure. The study focused on 299 patients classified as class III/IV heart failure.
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MLearing/Machine-Learning
Some simple machine learning algorithm
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kimkukhwa/Predicting-Credit-Card-Approvals
Machine Learning. I am building a prediction model, using Logistic Regression, and evaluating its performance with confusion matrix, GridsearchCV,
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ririraissa/Hotel_Cancelation_Order
When a customer places an order, the order may or may not be canceled later. To assist the hotel in minimizing losses it is necessary to analyze and predict the factors that lead customers to cancel their orders using machine learning model.
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a-bezm/Machine-learning-for-texts
Разработка инструмента, который будет искать токсичные комментарии и отправлять их на модерацию. Модель классифицирует комментарии на позитивные и негативные.
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e-aditi/COVID-19-risc-calculator-self-assigned-mini-project-1
This project is to understand how logistic regression works. To make it interesting, I have tried to collect data on COVID 19 symptoms and its effect. Any suggestions, remarks, and improvements are welcome : )
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Gui-Sitton/Beta-Bank
The bankers have discovered that it's cheaper to save existing customers than to attract new ones. We need to predict whether a customer will leave the bank soon. Model with the maximum possible F1 value.
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JustinBenito/MathsandMachines
Machine learning Algorithms but the implementations done by me and no external libraries used
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GunturWibawa/MegalineCBA
As a Data Scientist at Megaline, a leading mobile operator, I developed a model to analyze consumer behavior. I aimed to recommend either the Smart or Ultra package from Megaline's latest offerings, with a minimum accuracy of 0.75.
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gassantos/ML-Extension-Course
Curso de Aprendizado de Máquina
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Melanee-Melanee/NLP-Project
Natural language processing on tweets
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shalakasaraogi/census-income-project
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.
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exelero565/DS_Project_6
create models customer clustering by solvency
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temmyfioye/PimaDiabetesOutcome
Pima Diabetes Outcome
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Leangonplu/Default_Prediction_for_Loan_Data
Default_Prediction_for_Loan_Data
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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.
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Billie-LS/give_me_cred
peer-to-peer lending, use techniques to train and evaluate Machine Learning models with imbalanced classes to identify the worthy
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hydrobot004/pumpsensors-01
IOT pump data for analytics
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SevdanurGENC/Machine-Learning-Lecture-Notes
Machine Learning Lecture Notes
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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.
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boshraEisa/TweetSentimentAnalysis
Classifying a dataset of tweets into positive, negative or neutral using machine learning algorithms
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mbfakourii/Drug-Score-Rating
Implementation of Drug database with LinearSVC, BernoulliNB, MultinomialNB, LogisticRegression, Perceptron and MLPClassifier models
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UditSharma9999/TMBD_box_office_prediction
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Salllym/Supervised-Machine-Learning
Created machine learning models to classify the risk level of given loans.
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makt96/Earthquake-Damage-Nepal
A Classification Model relies on Logistic Regression and Decision Tree Algorithm Has been build in this project to predict severity of Damage based on Earthquake Grade 0-5
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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.
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nani757/QQ-plot-Function-Transformer-Log-Transform-Reciprocal-Transform-Square-Root-Transform
Function Transformer is part of feature engineering it converts probability density function to normal distribution
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nani757/standardization-feature-selection
feature selection is done before the model implementation like svm or logistic regression or .....
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anmolchaure/Breast-Cancer-Prediction
Classification of breast tumor as malignant(M) or benign(B) using Logistic Regression
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KarthikMurugadoss1804/Prediction-of-customer-churn
In this project I intend to predict customer churn on bank data.
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SujanNeupane42/Titanic-Survival-Prediction
In this classification project, we will use different features like passenger class, sex, age, fare, etc to predict whether a person will survive in titanic or not.
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Mostafa-wael/Loan-Classifier
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
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imane-ayouni/Iris
Different classification algorithms to predict the species of Iris flowers
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imane-ayouni/Pima
Different classification algorithms to determine whether or not an individual from the Pima group will have type 2 diabetes
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Fail-Capstone/ultimate_chatbot_core_old
Language: Python - Size: 1.44 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

prabormukherjee/ML_visualizer
Machine learning model Visualizer in web using streamlit
Language: Python - Size: 70.3 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

ItsGreyedOut/Predicting-Credit-Risk
Supervised Machine Learning
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paritosh3006/Riverus-Assignment
Sentiment Analysis
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heeh/legal_advice
Legal Taxonomy (https://taxonomy.legal/) Classifier on Reddit /r/legaladvice
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serlintamilselvam/prediction-model-for-loan-default-assessment
Prediction model for loan default assessment
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PedrooFelix/AMBEV-Case
Retrieving Insights - Hypothesis Tests - Logistic Regression - Churn - Model - Python - DecisionTreeRegression
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oskarjonszon/Gradient_Descent
Implementations of linear regression, logistic regression and perceptron using gradient descent. A implementation of Leave-one-out cross evaluation is also included in the logistic and perceptron files.
Language: Python - Size: 3.91 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

kanwartaimoor/Classification
Multi class and Binary Classification through Logistic Regression and SVM
Language: Python - Size: 165 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 0

e96031413/ML_Term_Project
Machine Learning Term project of IOG5016 and IOG5018
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Ranga2904/Azure_ML_Pipeline_Project
Azure ML Pipeline Project, completed for Nanodegree
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algoDd/ScratchMl
Machine Learning Algorithms Scratch Implementations
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iamskab/Streamlit-ML-Classification-Visualiser
This is a ML visualiser application for classification algorithms . Check it out following the link .
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Vrushil/WeatherPredictionNY
Snow and Rainfall Prediction In Albany NY
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17BIT0216/Machine-Learning
All of my data analysis and Machine learning Projects.
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DROMZEE/titanic
machine learning à partir du dataset titanic
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uniquevineet/unsupervised_learning
Applying unsupervised learning algoriths on online shoppers intention data and model building
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Divan009/Cust_churn
Trying to predict which customers are more likely to churn
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panambY/Titanic-Survived.Prediction
Predict survival on the Titanic and get familiar with ML basics.
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JamesvBell/Logistic_Regression
Logistic Regression example from UCLA
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cyela/StudyProject-Spring-2018 Fork of aravindreddykeesara/StudyProject-Spring-2018
This Repository holds the information related to Masters Study project on Detecting Vandlism
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mascarock/sentiplus
Sentiplus - Classificatore per individuare il sentimento dei tweet
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