logestic-regression
There are 49 repositories under logestic-regression topic.
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.
sondosaabed/Weather-Dataset-Analysis
Machine Learning, EDA, Binary Classification task weather dataset, ANN, SVM, LR
sondosaabed/Customer-Churn-Dataset-Analysis
Machine Learning, EDA, Classification tasks, Regression tasks for customer churn
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.
matinmonshizadeh/Diabetes-Predictor
A user-friendly desktop application that utilizes a logistic regression model to predict the probability of a user having diabetes based on their inputted information.
AliAhmadi-Software/Heart-Disease-Prediction
Machine Learning Classification For Disease Prediction
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.
iAmKankan/MachineLearning_With_Python
Machine Learning Tutorial
sadegh15khedry/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.
vishnu322010326030/Machine-learning-algorithms
We took an iris dataset and trained with different classifiers to find out their accuracy and some parameters.
masoudshahrian/DataScience
AI Machine learning Deep learning Projects with code
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
SiavashShams/Intelligent-Systems-Projects
Projects for the Intelligent Systems course
Abdulmuqe/Chronic-Kidney-Disease-Prediction-Using-ML
Chronic Kidney Disease Prediction Using ML | Website |
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
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
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
Md-Emon-Hasan/AI-From-University
🎓 Collection of academic resources, projects, and exercises related to artificial intelligence concepts learned in university coursework.
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.
siniekoo19/Black-Friday-Sales-Prediction
A ML project to predict sales for Black Friday.
SunnyBibyan/Credit_Card_Fraud_Detection
This project aims to detect fraudulent transactions in a dataset using machine learning models like Logistic Regression and Decision Tree. The dataset is highly imbalanced, and techniques like SMOTE are used to balance it.
yessasvini23/IBM_Data_Science_-Capstone-Project-Wining-Space-Race.ipnyb
IBM Data Science Capstone Project from Coursera
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
haniye6776/feature-issues
In this project I want to show the effect of feature extraction, feature selection, etc. on results of different models
khashayarahmadi/Heart__Disease_predidiction_keras_and_svm_Knn_and_others
building machine learning models that use classic algorithms and deep learning, as well as comparing their accuracy
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
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.
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
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.
gautam132002/fraud-credit-card-transaction-detection
Machine learning model for credit card fraud detection, which is a binary classification task. The model's primary goal is to classify transactions into one of two classes: "fraudulent" or "legitimate," using the provided dataset.
gautam132002/spam-sms-email-detection
AI model that can classify SMS messages as spam or legitimate. Use techniques like TF-IDF or word embeddings with Logestic Regression
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.
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.
mahdi-zarepour/diabetes
Diabetes diagnosis application
nakulpandit/ml_1
Machine Learning
Shibli-Nomani/Mentorness
Batch Name: MIP-ML-11 (Machine Learning Intern)