Topic: modeltraining Goto Github
Some thing interesting about modeltraining
Some thing interesting about modeltraining
modeltraining,This is a Data Science task related to kaggle challenge of Titanic Spaceship
Organization: 7pam2015-0105-2023-team17
modeltraining,This project utilizes a machine learning model where consumer brand data is employed. Initially, a preliminary model is developed, followed by a refined model using a process called 'fine-tuning' to improve results. Additionally, a comprehensive testing suite has been created to validate accuracy and reliability of the model's predictions.
User: ainy-rehman
modeltraining,This project aims to predict the future stock prices of various companies using machine learning and deep learning techniques. By analyzing historical stock price data and incorporating relevant features, the goal is to build accurate and robust models that can forecast stock prices over different time horizons.
User: anithanaidu33
modeltraining,The Titanic classification problem involves predicting whether a passenger on the Titanic survived or not, based on various features available about each passenger. The sinking of the Titanic in 1912 is one of the most infamous maritime disasters in history, and this dataset has been widely used as a benchmark for predictive modeling.
User: anithanaidu33
modeltraining,Realtime Sign Language Detection: Deep learning model for accurate, real-time recognition of sign language gestures using Python and TensorFlow.
User: avishakeadhikary
modeltraining,Web platform allows users to upload CSV files and train a machine learning model using the uploaded data
User: bilet-13
modeltraining,Diabetes Prediction Web App
User: bizzorotical-ank01
modeltraining,Model Trainig To predict the Prize Of House
User: ghulam-ahmad-1
modeltraining,Text Classification with Naive Bayes
User: huzaifa-367
modeltraining,Welcome to the Machine Learning Repository! This repository is a collection of notebooks showcasing various machine learning projects and implementations. It incluedes Decision tree algorithm, Random forest , Support vector machine etc.
User: itsmethahseer
modeltraining,
User: ivanmyzou
modeltraining,Data Analysis, Model Training, Model Deployment.
User: jatin-mehra119
Home Page: https://jatin-mehra119-heart-disease-predictor.streamlit.app/
modeltraining,An advanced machine learning project deploying a model for Titanic passenger survival prediction, including deployment on ngrok for easy access.
User: jimmymugendi
modeltraining,This project focuses on predicting the prices of clothes based on various features such as category, size, and color. Leveraging the power of machine learning, specifically supervised learning algorithms, we aim to build a robust predictive model capable of estimating prices with high accuracy.
User: khizraayaseen
Home Page: https://clothes-price-prediction.vercel.app
modeltraining,The Diabetes Prediction Model is a machine learning application that predicts diabetes based on input features such as pregnancies, glucose level, blood pressure, skin thickness, insulin, BMI, diabetes pedigree function, and age. It utilizes a logistic regression algorithm for binary classification.
User: mahenoor-merchant
modeltraining,The main purpose of this repository is to build the pipeline for training of regression models and predict the compressive strength of concrete to reduce the risk and cost involved in discarding the concrete structures when the concrete cube test fails.
User: maheshkumarmk
modeltraining,Alphabet Soup Charity: A deep learning model to predict the success of charitable donations, enhancing decision-making for fund allocation and impact optimization.
User: nardyjh
modeltraining,This repo hosts an end-to-end machine learning project designed to cover the full lifecycle of a data science initiative. The project encompasses a comprehensive approach including data Ingestion, preprocessing, exploratory data analysis (EDA), feature engineering, model training and evaluation, hyperparameter tuning, and cloud deployment.
User: omergamie
modeltraining,Predicting heart failure using Decision Tree algorithm with a dataset sourced from Kaggle. Achieved 99% accuracy, demonstrating robust performance as a binary classifier.
User: partigayatri
modeltraining,This project detects if the card holder will default on the credit payment on the following month or not by implementation of various ML Classification Algorithms in a modular coding format
User: rachitdani
modeltraining,Machine Learning model capable of accurately predicting the Rate of Interest (ROI) from bureau data
User: rishaviitd
modeltraining,AlmaBetter Capstone Project -Classification model to predict the sentiment of COVID-19 tweets. The tweets have been pulled from Twitter and manual tagging has been done then.
User: samchak18
Home Page: https://grow.almabetter.com/data-science/projects/Coronavirus-Tweet-Sentiment-Analysis
modeltraining,This is a project which allows a user to translate, summarize, paraphrase and humanize it. It is basically a web application that allows user to enhance their content by providing these features.
Organization: semesterprojectsixth
modeltraining,MNIST Digit Recognition repository offers a robust solution for recognizing handwritten digits using the MNIST dataset.
User: shashankatthaluri
modeltraining,A Deep Learning application designed to detect plant π±diseases using images of plant leavesπΏ, powered by TensorFlow technology.
User: shivangeerajput
modeltraining,Welcome to the Fraud Detection Project! This repository uses machine learning π§ to detect fraudulent transactions π³. It includes data preprocessing π οΈ, model training π, evaluation π, and visualization π. Explore, experiment, and contribute π€ to improve fraud detection accuracy. Check the README for setup and usage instructions.
User: shubhamdeepkeshav
modeltraining,This project aims to develop a machine learning model for proactive fraud detection in financial transactions.
User: shubhamparmar1
modeltraining,This project aims to develop a forecasting model for predicting the price of gold.
User: shubhamparmar1
modeltraining,This repository contains the LifeExpectancy Prediction Project, a comprehensive data science project aimed at predicting life expectancy based on various health, economic, and social factors. The project includes steps for data preprocessing, exploratory data analysis (EDA), model selection, training, hyperparameter tuning, and model interpretation
User: shubhro2002
Home Page: https://www.kaggle.com/code/alonelysoul/life-expectancy-analysis-and-prediction
modeltraining,Repository for predicting house prices using the Ames Housing dataset. Implements advanced regression techniques with TensorFlow Decision Forests, including Random Forests. The project covers data exploration, feature engineering, model training, evaluation, and visualization.
User: shubvats
Home Page: https://www.kaggle.com/competitions/house-prices-advanced-regression-techniques/overview
modeltraining,A dark web analysis tool.
User: silencegeneric
modeltraining,One notebook trains a vegetable classification model with InceptionV3 using TensorFlow and Keras. The second notebook showcases the pre-trained model's inference on vegetable categories, loading InceptionV3 and enhancing image features. Together, they offer a compact solution for vegetable classification through deep learning.
User: sililawijesinghe
modeltraining,This repository serves as a comprehensive resource for understanding and implementing various feature selection techniques, gaining familiarity with Jupyter Notebook, and mastering the process of model training and evaluation
User: thilagavijayan
modeltraining,Data Science Project
User: usmanelahi
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.