skit-learn
There are 0 repository under skit-learn topic.
nathadriele / mlops-zoomcamp-project-paris-price-house
MLOps Paris Housing Price Prediction.
Language:Jupyter Notebook 13AbuBakkar32 / Machine-Learning-Practice
This GitHub repository is a valuable resource for machine learning and Python enthusiasts. It includes a wide range of projects and tools, covering topics like Data Visualization, Data Analysis, ML, DL, Automation, NLP, Web Scraping, and more. Contributors are welcome to join and learn together in this supportive community. Happy coding!
Language:Jupyter Notebook 70PeterAdel / Data-Dyanamos
Igniting Innovation Through the Power of Data
Language:Jupyter Notebook 5GhazaleZe / Data-Mining-Fundamentals
my codes of data mining fundamentals course
Language:Jupyter Notebook 5- Language:Jupyter Notebook 5
- Language:Python 4
arukemre / Gediz-Elektrik-POWER-OUTAGE
Solution to Kaggle's GDZ’22 DATATHON Competition
Language:Jupyter Notebook 3emumia / Heart-Disease-Checker
Data Science, Machine learning, Data visualization
Language:Jupyter Notebook 3Muhammad-Sheraz-ds / Predicting-Insurance-Claim
In this comprehensive machine learning project, I executed the entire machine learning life cycle. Designed a streamlined and visually appealing interface using Streamlit. Ensuring a user-friendly experience for individuals to input their relevant information effortlessly. Handed off well-documented and easily modifiable code.
Language:Jupyter Notebook 3rajeshidumalla / Football-Kicks-Prediction-using-Deep-Learning
For this project, I am going to recommend positions where France's goal keeper should kick the ball so that the French team's players can then hit it with their head using deep learning regularisation and dropout methods.
Language:Jupyter Notebook 3- Myntra-Discount-Prediction-ModelLanguage:Jupyter Notebook 3
sneha-rangole / Flight-Price-Prediction-Using-Random-Forest
The Flight Price Prediction project utilizes Random Forest Regression to forecast flight prices based on historical data, empowering consumers and businesses to make informed decisions. With an impressive R² score of 0.812, the model effectively captures the complex relationships influencing airfare pricing.
Language:Jupyter Notebook 3YanSte / SKit
SKit is a versatile Python library designed to streamline the deployment of Machine Learning (ML) models and facilitate various Data Science tasks.
Language:Python 3abhayraghuwanshi / Multilabel_skillset_classification
Multilabel classification of the O*Net occupation data based on the job description
Language:Jupyter Notebook 2- Language:Python 2
bizzorotical-ank01 / Diabetes-Prediction-System
The Diabetes Prediction System is a web application that enables users to predict diabetes likelihood based on medical data. Key features include user registration, dataset uploading and cleaning, model training using logistic regression, and individual risk prediction.
Language:HTML 2jbrun0r / predicting-heart-disease
The Heart Disease Prediction Project is a machine learning project aimed at developing a model to predict the presence of heart disease in patients based on various health-related features.
Language:Jupyter Notebook 2ksharma67 / Heart-Failure-Prediction
This problem is a typical Classification Machine Learning task. Building various classifiers by using the following Machine Learning models: Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), XGBoost (XGB), Light GBM and Support Vector Machines with RBF kernel.
Language:Jupyter Notebook 2Mr-Owl / machine_learning
python 0基础入门机器学习
Language:Python 2WallaceHolanda / covid_mortality_risk_prediction
Machine Learning models to predict the covid mortality risk
Language:Jupyter Notebook 2abdiesu04 / Breast_Cancer_Classification_using_Machine_Learning
This repository contains a Breast Cancer Classification project that utilizes a Logistic Regression model to classify tumors as benign or malignant based on patient data. The project uses the Breast Cancer Wisconsin (Diagnostic) Dataset from Kaggle and achieves a 94.73% accuracy on training data and 92.98% accuracy on test data.
Language:Jupyter Notebook 1aifia105 / linear-regression-with-gradient-descent
linear regression model with gradient descent
Language:Jupyter Notebook 1ankur-mali / Predictive-Maintenance-Using-AI-
An interactive dashboard for predictive maintenance of turbofan engines. This project leverages NASA's CMAPSS (Commercial Modular Aero-Propulsion System Simulation) dataset to monitor engine health, analyze sensor trends, and predict the Remaining Useful Life (RUL) of aero-engines.
Language:Jupyter Notebook 1Ayeshaaaaaaaaa / Resume-Classification-System
AI-powered resume classification system can accurately and efficiently analyze resumes, extract relevant information, and categorize them into predefined categories or job roles.
Language:Jupyter Notebook 1coderkarishma / AI-Driven-Medical-Insurance-Premium-Prediction
This project aims to develop a machine learning model that accurately predicts medical insurance premiums based on personal health and lifestyle data. Traditional insurance premium calculations are often manual, time-consuming, and inconsistent. By leveraging AI, we can create a more accurate, efficient, and transparent pricing system.
Language:Python 1FionaAmuda / Churn-Prediction
This is a School assignment, on churn prediction using scikit learn and traditional ML models
Gabean01 / Proyecto-Individual-1-MLOps
LABS Proyecto Individual: MVP Steam - Rol: MLOps Engineer | Bootcamp Henry: Carrera Data Science | Cohorte DataFT 20
Language:Jupyter Notebook 1LucaZH / Recommendation-systeme-ML
Anime recommendation systeme using ML
Language:Python 1- Language:Jupyter Notebook 1
MelihcanSimsek / Text-to-Category-AI
Text to Category AI for Social Media Project
Language:Python 1Welcome to the Insurance Claim Prediction App! This web application utilizes advanced machine learning techniques to estimate insurance claim amounts based on user-provided information. Whether you're exploring insurance options or curious about potential claim amounts, this app provides a quick and convenient way to get personalized predictions.
Language:Jupyter Notebook 1Phili409 / Water_Quality_Predictor
Machine Learning model, that gathers water attributes and predicts it's quality level with 100% accuracy
Language:Jupyter Notebook 1Randhir026 / Chatbot-Python-GUI
The code sets up a Flask web application for a chatbot using a pre-trained model. It loads intents from a JSON file, tokenizes patterns with CountVectorizer, and defines routes for user input, predicting tags, and retrieving bot responses. The application runs on localhost when the script is executed.
Language:Python 1Rupsvarshney / heart-disease-prediction
Machine Learning helps in predicting the Heart diseases, and the predictions made are quite accurate.
Language:Jupyter Notebook 1Sydney205 / Primary-energy-consumption
Analysis of global primary energy consumption trends for various countries.
Language:Jupyter Notebook 1yashika-malhotra / MicroMobility-Service-Provider---Hypothesis-Testing
Examined factors influencing demand for micro-mobility shared electric cycles Performed exploratory analysis and hypothesis testing, revealing the distinct influence of weather-season association on hourly counts
Language:Jupyter Notebook 1
