machine-learning-model
There are 31 repositories under machine-learning-model topic.
jim-schwoebel/voice_gender_detection
♂️♀️ Detect a person's gender from a voice file (90.7% +/- 1.3% accuracy).
Irlll/house-rental-prediction-machine-learning
Proyek pertama predictive analytics untuk membangun model machine learning yang dapat memprediksi harga sewa rumah dan apartement di India.
freesoul84/100DaysOfMLcode
Machine learning for 100 days
nirajan-jha/Predicting-Employee-Churn-Using-Machine-Learning
The aim is to build a predictive model that can accurately classify whether the employee is likely to leave or the employee is likely to stay in the company. This allows companies to take proactive measures, such as improving working conditions, offering promotions, or addressing dissatisfaction, to retain valuable employees.
AbhishekRS4/ML_water_potability
ML model deployment using docker, kubernetes; API deployment with FastAPI; and MLOps using MLFlow for water potability dataset
amanchandra100/Movies_Recommendation_ML_Model
Movies Recommendation System
balirampansare/car-price-predictor
Predicts the price of the car based on the input parameter.
burcgokden/Power-Law-Graph-Transformer
Implementation of Power Law Graph Transformer for Machine Translation and Representation Learning.
danielathome19/Classification-Model-Builder
Assists in the creation of convolutional neural network models for image classification. Models are generated with the Keras library, wrapped from Python in C# to allow use between languages.
hrishikeshnikam2000/Face_mask_detector
A face mask detector using multiple frameworks.
Om29Singh/Diabetes_Prediction
Diabetes Prediction using Machine Learning
R-Projects-Portfolio/Madrid-Real-Estate-Price-Prediction
This is a Supervised Learning Model which predicts the Price of Real Estate in Madrid, Spain.
sciustea/Improve-Machine-Learning-Model-Accuracy_Feature-Engineering_Python
Splitting the advertising data (advertising.csv) into training and testing data sets, then choosing and training a classification machine learning algorithm; Getting the accuracy of the ML model; Using feature engineering skills to create new features and improve my ML model;
eparedes90/WebApp_DisasterResponse
Pipeline Classifier of Messages
Himasnhu-AT/COX3-ML-Model
Building an ML model for detecting if a patient is COVID-19 positive or not. Based on dataset: https://www.kaggle.com/datasets/andyczhao/covidx-cxr2
Lamiorkor/LyriGenesis
LyriGenesis is an Introduction to Artificial Intelligence (AI) Final Project. This is an AI model that takes a word or phrase from a user and uses it to generate song lyrics whose length is also based on another input by the user.
mpavlovic/toxic-comments-classification
Deep learning model and code for Toxic Comments Classification Challenge on Kaggle. Simple framework for similar competitions.
qwqoro/ML-Corrupted
📊 [ML] Classification Problem Solution: Guessing the type of a corrupted file
rishabjainX/PoisonAI
An Image Classification Model trained on 6000+ images of various plants. When an image is uploaded, it returns whether the plant is poisonous or not. Tri-Valley Hacks 2023 project.
Yashmenaria1/Credit-Card-Fraud-Detection
The credit card fraud detection model employs a Random Forest Classifier, a robust ensemble learning technique. It analyzes various transaction features to accurately identify fraudulent activities, leveraging the collective decision-making of multiple decision trees to enhance detection accuracy and resilience against data imbalances.
AakashAP/Leaf-Disease-Detection
Machine Learning Model for Leaf Disease Detection
AakashAP/Personality-Prediction
Machine Learning Model for Predicting Personality Traits
AakashAP/Star-Classification
Machine Learning Model for Star Classification
CTLife/cfDNA-5hmC_LungCancer
Plasma cell-free DNA hydroxymethylomes discriminate disease state in EGFR-mutant non-small cell lung cancer.
EMIIA/cognitive.emiia.ru
ЭМИИА | EMIIA | КОГНИТИВНАЯ РАДИООПТИКА | COGNITIVE RADIO OPTICS | РАДИООПТИКА | RADIO OPTICS
karimosman89/prediction-powerbi
This project focuses on building a customer churn prediction model using machine learning and visualizing the results with Power BI. You will use Python for churn prediction and Power BI for generating interactive reports that display key metrics such as churn rate, customer demographics, and predictive insights.
LykourgosS/iris-ml-model-microservice
A FastAPI microservice for predicting iris species based on sepal and petal dimensions. This project leverages machine learning to classify iris flowers into their respective species. (mpsp)
NewthingAde/Attrition_Of_Customer_Machine_Learning_Model
This Machine Learning Model Predict behavior to retain customers of a credit card services.
NewthingAde/Telecomunication_Compnay_Churn_Model
This Machine Learning Model Predict behavior to retain customers in a Telecommunication Company. The focus of the project is on customer retention.
raghavagps/nagbinder
A method for predicting NAG interacting residues in a protein from its primary sequence
wlodpawlowski/machine-learning-basic-datasets
Repository which consists different code snippets and projects for my personal lessons recorded at the University of San Francisco in during learning of the Machine Learning.