GitHub topics: logestic-regression
masoudshahrian/DataScience
AI Machine learning Deep learning Projects with code
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SherineTarek224/Credit_Fraud_Detection
This Project focuses on building a Fraud Detection using highly unbalanced Dataset from Kaggle of 170,884 and 305 frauds only using different machine learning models. Using Logistic Regression ,RandomForest and Neural Networks with preprocessing on Training Dataset and hyperparameters Tuning
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Pratham-verma/Web_Application_Firewall
This project presents a powerful Web Application Firewall (WAF) designed to protects web applications from malicious activities. By leveraging machine learning algorithms, the WAF efficiently filters and detects potentially harmful requests before they reach the website, ensuring robust security.
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mahdi-zarepour/diabetes
Diabetes diagnosis application
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nakulpandit/ml_1
Machine Learning
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sondosaabed/Weather-Dataset-Analysis
Machine Learning, EDA, Binary Classification task weather dataset, ANN, SVM, LR
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Ali-EL-Badry/Machine-learning-Algorithm
It is a Repo that contain different type of Machine Learning Algorithm like Regression ,classification and clustering that will be added soon
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Laraib-Azmat/Logestic_Regression
Logistic Regression is a statistical method used for binary classification that predicts probabilities using the sigmoid function. It optimizes weights through gradient descent to minimize the log-loss cost function. Commonly applied in tasks like spam detection, medical diagnosis, and customer churn prediction.
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Md-Emon-Hasan/AI-From-University
🎓 Collection of academic resources, projects, and exercises related to artificial intelligence concepts learned in university coursework.
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Md-Emon-Hasan/ML-Projects-Telcom-Customer-Churn-Prediction
📱 Customers are likely to leave a telecom service, enabling companies to take measures for retention and create accurate churn prediction models.
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sondosaabed/Customer-Churn-Dataset-Analysis
Machine Learning, EDA, Classification tasks, Regression tasks for customer churn
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Sadegh-Khedry/ML-Algorithms-From-Scratch
This project is dedicated to implementing various machine learning algorithms from scratch to gain a deeper understanding of how they work.
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Abdulmuqe/Chronic-Kidney-Disease-Prediction-Using-ML
Chronic Kidney Disease Prediction Using ML | Website |
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4702chahat/Rock-Vs-Mine
This Project is based on Machine Learning which uses Logistic Regression model for predicting whether the object detected by Submarine is Rock or Mine
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iAmKankan/MachineLearning_With_Python
Machine Learning Tutorial
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LJadhav25/-Natural-Language-Processing
Natural Language Processing (NLP) is a branch of data science that consists of systematic processes for analyzing, understanding, and deriving information from the text data in a smart and efficient manner
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Resilient-01/Machine-Learning
Comparison of classification models over digits dataset
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LJadhav25/False-Alarm-Detection
The data was first pre-processed and analysis libraries like Numpy and Pandas were used to make it ready to be utilized by a machine learning algorithm.Problems like standard scaling, categorical data and missing values were handled with appropriate techniques. Then, we used LogisticRegression model.
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Shibli-Nomani/Mentorness
Batch Name: MIP-ML-11 (Machine Learning Intern)
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LJadhav25/Logistic-Regression-Data-Science-
Logistic regression estimates the probability of an event occurring, such as voted or didn’t vote, based on a given data set of independent variables.
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yessasvini23/IBM_Data_Science_-Capstone-Project-Wining-Space-Race.ipnyb
IBM Data Science Capstone Project from Coursera
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SiavashShams/Intelligent-Systems-Projects
Projects for the Intelligent Systems course
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haniye6776/feature-issues
In this project I want to show the effect of feature extraction, feature selection, etc. on results of different models
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barzansaeedpour/binary-classification-metrics
This repository provides essential tools and metrics for evaluating binary classification models, aiding researchers and data scientists in their model assessment
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barzansaeedpour/cancer-detection
This repository contains code and analysis for detecting cancer using various machine learning algorithms. We compare the performance of logistic regression, decision tree, and random forest models.
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Talieh-Sh/credit-risk-classification
The purpose of this analysis is to apply machine learning techniques to predict the creditworthiness of borrowers using borrower data.
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mo26-web/Induction-Motor-Faults-Detection-with-Stacking-Ensemble-Method-and-Deep-Learning
This is a induction motor faults detection project implemented with Tensorflow. We use Stacking Ensembles method (with Random Forest, Support Vector Machine, Deep Neural Network and Logistic Regression) and Machinery Fault Dataset dataset available on kaggle.
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rezamosavi8740/Model-Selection-in-Credit-Card-Transaction-Analysis
Explore model selection in credit card transaction analysis with Reza Mousavi's Git project. Addressing class imbalance, it employs undersampling and features tree-based models, SVM, and logistic regression for effective fraud detection
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PRAVEENBRO/Lead-Scoring-for-X-Education
🚀 HotLeads-X-Education: Unleash the power of data! Craft a model predicting 'Hot Leads' for X Education. 🌐 Dive into features, clean data, and hit an 80% conversion rate! 📊💡 Optimize the sales journey with cutting-edge data science. 💼✨ #LeadScoring #DataScienceSuccess
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Taabannn/intro-ml
This repository has been created just for warm-up in machine learning and there are my simulation files of UT-ML course HWs.
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MahtabRanjbar/Cancer_detection_using_ml_models
This project uses machine learning to classify breast cancer tumors as malignant or benign using the Breast Cancer Wisconsin (Diagnostic) Dataset.
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fardinabbasi/Regression-ParzenWindow-KNN
Machine Learning Course[ECE501] - Spring 2023 - University of Tehran - Dr. A. Dehaqani, Dr. Tavassolipour
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vishnu322010326030/Machine-learning-algorithms
We took an iris dataset and trained with different classifiers to find out their accuracy and some parameters.
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Karma0o7/Image-Recognition-Using-Logestic-Regression-Cat-vs-Non-Cat
A Simple Image Recognition Algorithm using Logestic Regression implemented using Cat vs Non-Cat dataset
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Deeksha-Shet/Project-in-Python
This repository contains work that has been done on various concepts of Python like linear regression, logistic regression, decision tree, Random forest, KNN, and K-means algorithm
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parisimaa/Machine_learning_note
Informative review notes on Machine Learning / Deep Learning concepts. Each folder represents a distinct branch, including some theoretical explanation + coding and useful examples as well as projects.
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