Topic: model-training-and-evaluation Goto Github
Some thing interesting about model-training-and-evaluation
Some thing interesting about model-training-and-evaluation
model-training-and-evaluation,This repository contains several ML algorithms wriiten from scratch that are covered in ML lab.
User: aayush301
model-training-and-evaluation,This repository contains a project showcasing Federated Learning using the EMNIST dataset. Federated Learning is a privacy-preserving machine learning approach that allows a model to be trained across multiple decentralized devices or servers holding local data samples, without exchanging them.
User: aayush711
model-training-and-evaluation,The nonprofit foundation Alphabet Soup wants a tool that can help it select the applicants for funding with the best chance of success in their ventures
User: annbelbella
model-training-and-evaluation,An Image classifier model and builder for binary image classification.
User: bethropolis
Home Page: https://bethropolis.github.io/myia/
model-training-and-evaluation,Code that can be used for training a neural network model to classify input documents into distinct classes.
Organization: dalai-project
model-training-and-evaluation,Code that can be used for training a neural network model to detect faults (sticky notes, folded corners etc.) in input documents.
Organization: dalai-project
model-training-and-evaluation,This repository contains a machine learning project aimed at predicting housing prices in Boston. This project showcases the end-to-end process of building and deploying a machine learning model, from data preprocessing and model training to serialization and deployment.
User: dyavadi8769
model-training-and-evaluation,University Admission Predictor is a sophisticated Flask-based web application designed to predict the likelihood of admission to graduate programs based on student profiles. It leverages a range of regression techniques to evaluate admission chances.This project showcases the practical application of machine learning in educational forecasting.
User: dyavadi8769
model-training-and-evaluation,This project showcases a cats vs dogs image classification model using image augmentation and Keras. It employs deep learning and convolutional neural networks (CNNs) to accurately classify images of cats and dogs.
User: gvhemanth
model-training-and-evaluation,Nonprofit foundation Alphabet Soup wants a tool that can help it select the applicants for funding with the best chance of success in their ventures. Using machine learning and neural networks, youβll use the features in the provided dataset to create a binary classifier that can predict whether applicants will be successful if funded.
User: hamim-hussain
model-training-and-evaluation,This Machine Learning repository encompasses theory, hands-on labs, and two projects. Project 1 analyzes customer segmentation for marketing using clustering, while Project 2 applies supervised classification in marketing and sales.
User: ialexmp
model-training-and-evaluation,NU Bootcamp Module 21
User: jleigh101
model-training-and-evaluation,π‘ Empower property market decisions with a machine learning model predicting house prices using the Boston Housing dataset. πΈπ πΉ
User: kishoralagappan
model-training-and-evaluation,CNN Based Approach for Audio File Classification. Contains Notebooks Illustrating Data Preprocessing, Feature Extraction, Model Training, & Model Inference Workflows & Overall Pipeline
User: krajshuffle
model-training-and-evaluation,Unlock the potential of finetuning Large Language Models (LLMs). Learn from industry expert, and discover when to apply finetuning, data preparation techniques, and how to effectively train and evaluate LLMs.
User: ksm26
Home Page: https://www.deeplearning.ai/short-courses/finetuning-large-language-models/
model-training-and-evaluation,Comment classifier model trainer using keras tensorflow, stanza tokenizer and transformers.
User: llfesteal
model-training-and-evaluation,The Employee Attrition Control project uses data analysis and predictive modeling to understand and address employee turnover. It provides insights and recommendations to reduce attrition and improve employee satisfaction and retention.
User: nafisalawalidris
model-training-and-evaluation,Aditya Marketing is facing low response rates to their marketing campaigns. The objective of this project is to conduct thorough Exploratory Data Analysis, extracting insights through univariate and bivariate analysis. And Recommended strategic customer targeting tactics.
User: patilkiran123
model-training-and-evaluation,The enhancement of Intelligent Transport Systems (ITS) involves the precise prediction of bike-trip durations, incorporating a comprehensive consideration of Seoul's weather conditions.
User: patilkiran123
model-training-and-evaluation,Deployment ready machine learning model to predict the math scores of students based on various features related to their demographics, background, and academic engagement.
User: patilkiran123
model-training-and-evaluation,This is an exciting project that aims to predict cryptocurrency prices using artificial intelligence (AI) and machine learning (ML) techniques. The project uses historical data of various cryptocurrencies and applies different algorithms to predict their prices in the future.
User: sangita9853
model-training-and-evaluation,Successfully established a machine learning regression model which can estimate the gross Black Friday sales for a particular customer, based on a distinct set of related and meaningful features, to a fair level of accuracy.
User: sayamalt
model-training-and-evaluation,Successfully developed a machine learning model which can accurately predict whether a firm will become bankrupt or not, depending on various features such as net value growth rate, borrowing dependency, cash/total assets, etc.
User: sayamalt
Home Page: https://company-bankruptcy-prediction.onrender.com/
model-training-and-evaluation,Successfully developed a machine learning model which can accurately predict the strength of cement based on various features such as blast furnace slag, water, coarse aggregate, etc.
User: sayamalt
Home Page: https://concrete-strength-prediction-te5j.onrender.com/
model-training-and-evaluation,Successfully developed a machine learning model which can accurately predict up to 100% accuracy whether a credit card application of a given applicant would be approved or not, based on several demographic features such as applicant age, total income, marital status, total years of work experience, etc.
User: sayamalt
Home Page: https://credit-card-approval-prediction.onrender.com/
model-training-and-evaluation,Successfully developed a machine learning model which can accurately classify the credit score of a customer based on his/her's basic bank details and a lot of other credit-related features.
User: sayamalt
model-training-and-evaluation,Successfully established a machine learning model that can accurately classify an e-commerce product into one of four categories, namely "Books", "Clothing & Accessories", "Household" and "Electronics", based on the product's description.
User: sayamalt
Home Page: https://e-commerce-category-prediction.streamlit.app/
model-training-and-evaluation,Successfully established a machine learning model which can accurately predict whether an employee of a given company will leave it in the impending future or not, based on several employee details and employment metrics.
User: sayamalt
Home Page: https://employee-attrition-prediction-vcut.onrender.com/
model-training-and-evaluation,Successfully established a machine learning model to accurately predict the price of a flight in India based on several features such as duration, days left, arrival time, departure time and so on.
User: sayamalt
Home Page: https://flight-price-prediction-r3uj.onrender.com/
model-training-and-evaluation,Successfully established a machine learning model which can accurately predict the expected life duration of a human being based on several demographic features such as alcohol consumption per capita, average BMI of entire population, etc.
User: sayamalt
Home Page: https://life-expectancy-prediction-so0k.onrender.com/
model-training-and-evaluation,Successfully established a supervised machine learning model which can accurately predict the gross sales generated by an XYZ company based on its weekly spends on distinct marketing channels across a span of 4 years from 2015 to 2019.
User: sayamalt
model-training-and-evaluation,Successfully established a machine learning model that can accurately predict the sales of a superstore based on various features such as quantity, profit, discount, postal code, etc. The features are mainly associated with order details and customer demographics.
User: sayamalt
Home Page: https://superstore-sales-prediction.azurewebsites.net/
model-training-and-evaluation,Successfully created a machine learning model which can accurately predict the fare of a taxi trip based on several features such as trip duration, tip amount, etc.
User: sayamalt
model-training-and-evaluation,Successfully established a supervised machine learning model that can accurately predict whether the travel insurance claim of a particular customer should be approved or not by a travel insurance agency.
User: sayamalt
model-training-and-evaluation,Successfully established a supervised machine learning model which can accurately forecast the total weekly sales amount obtained at Walmart stores, based on a certain set of features provided as input.
User: sayamalt
model-training-and-evaluation,Successfully developed a machine learning model which can accurately classify the weather based on various features pertaining to weather-related data and atmospheric conditions.
User: sayamalt
Home Page: https://weather-prediction-kudn.onrender.com/
model-training-and-evaluation,Successfully established a supervised machine learning model which can predict the quality of a wine to a high level of accuracy based on a certain set of features associated with the chemical properties and characteristics of that specific wine.
User: sayamalt
model-training-and-evaluation,using YOLOv7 for shoe detection and ResNet for shoe classification
User: sheharyarone
model-training-and-evaluation,This project implements a movie recommendation service with Apache Spark using collaborative filtering.
User: srimallipudi
model-training-and-evaluation,Zomato delivery time prediction
User: vishwajeet161
model-training-and-evaluation,a library so simple you will learn Within An Hour
User: yupeeee
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