Topic: modelevaluation Goto Github
Some thing interesting about modelevaluation
Some thing interesting about modelevaluation
modelevaluation,Building a model to predict demand of shared bikes. It will be used by the management to understand how exactly the demands vary with different features. They can accordingly manipulate the business strategy to meet the demand levels.
User: abhikgupt
modelevaluation,Model Evaluation is the process through which we quantify the quality of a system’s predictions. To do this, we measure the newly trained model performance on a new and independent dataset. This model will compare labeled data with it’s own predictions.
User: aks2507
modelevaluation,Data Preprocessing, Data Cleaning, Fine-tuning the Hyperparameters,
User: alifrmf
modelevaluation,Predicting the age of crabs using machine learning techniques based on physical characteristics.
User: aravinth-megnath
modelevaluation,Realtime Sign Language Detection: Deep learning model for accurate, real-time recognition of sign language gestures using Python and TensorFlow.
User: avishakeadhikary
modelevaluation,Titanic Machine Learning from Disaster
User: babi9181
modelevaluation,Portfolio of data science projects
User: elizabethseidle
modelevaluation,Semantic Similarity on SNLI dataset using BERT as well as TF-IDF+BERT(Pooled) embeddings.
User: farhanateli
modelevaluation,This is a machine learning model built in python3 to predict transaction conversion of web visits for an e-commerce website.
User: franklinen
modelevaluation,I developed the model to attain the predictive analysis in this task.
User: gulamaliamer
Home Page: https://github.com/Gulamaliamer/LGMVIP-DataScience
modelevaluation,An advanced machine learning project deploying a model for Titanic passenger survival prediction, including deployment on ngrok for easy access.
User: jimmymugendi
modelevaluation,The process of computationally identifying and categorizing opinions expressed in a piece of text, especially to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral. Understanding people’s emotions is essential for businesses since customers are able to express their thoughts and feelings more openly than ever before. By automatically analysing customer feedback, from survey responses to social media conversations, brands are able to listen attentively to their customers, and tailor products and services to meet their needs.
User: krisharul26
modelevaluation,The project involves creating a predictive model and analyzing the impact of Brexit on UK house prices. It includes tasks such as data preprocessing, exploratory data analysis, feature selection, model building, and visualization of the impact of Brexit on house prices.
User: leonardleo
modelevaluation,Label-Free Model Evaluation and Weighted Uncertainty Sample Selection for Domain Adaptive Instance Segmentation
User: licongguan
modelevaluation,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
modelevaluation,This repository contains mini projects inData science in python with notebook files
User: manikantareddychamala
modelevaluation,The aim of this project is to predict fraudulent credit card transactions using machine learning models.
User: manujbsharma
modelevaluation,Predicting house prices using linear regression models based on different features.
User: mariadimopoulou
modelevaluation,This Project is about to identify if a person's back pain is abnormal or normal using collected physical spine details/data.
User: meenujha
modelevaluation,This repository contains code for evaluating different machine learning models for classifying fake news. The dataset used for this evaluation consists of labeled news articles as either "REAL" or "FAKE". Three popular classifiers, Support Vector Machine (SVM), Decision Tree, and Logistic Regression, are trained and evaluated on this dataset.
User: mishaa931
modelevaluation,The aim of this project is to solve a Supervised Image Classification problem of classifying the flower types - rose, daisy, dandelion, sunflower, & tulip which can predict the class of the flower using the Convolutional Neural Networks (CNN), ResNet50 and transfer learning
User: navneet2409
modelevaluation,Our group project aimed to evaluate three predictive machine learning classification models to anticipate whether website visitors engage in transactions. This is done by analysing different attributes of website visitors including duration spent on different web pages, click rates, and bounce rates.
User: nielsxklesper
modelevaluation,Car Insights with Machine Learning
User: nikhilbest
modelevaluation,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
modelevaluation,A Python Machine Learning Project designed to predict Halloween Candy sales for a company based on historical data
User: parth-kacheria
modelevaluation,Training a model to predict whether a given job posting is fake or not
User: prajwal2495
modelevaluation,To import data from multiple sources, clean and wrangle data, perform exploratory data analysis (EDA), and create meaningful data visualizations. I will then predict future trends from data by developing linear, multiple, polynomial regression models & pipelines and learn how to evaluate them.
User: pramodrawat157
modelevaluation,BC4AI:Blockchain Used to Guarantee Credibility of AI Model Evaluations;利用区块链来保证算法模型的真实性
User: ranxi2001
modelevaluation,The tasks I was required to complete as a part of the BCG Open-Access Data Science & Advanced Analytics Virtual Experience Program are all contained in this repository. This virtual internship was sponsored by Forage📊📈📉👨💻
User: rishabdekate
modelevaluation,A web application that employs machine learning models to provide accurate and instant car price estimations based on various features and specifications.
User: saishivaniv
modelevaluation,Analyzing twitter data to realize changes to the bitcoin stock from tweets published. Model was able to accurately measure the changes to the bitcoin stock with 60% accuracy.
User: shard98
modelevaluation,This project focuses on the classification of banknotes using various supervised machine learning models. The primary objective is to develop a robust system that can accurately distinguish between genuine and counterfeit banknotes based on a set of features.
User: siddharthiyervarma
modelevaluation,A bike-sharing system is a service in which bikes are made available for shared use to individuals on a short term basis for a price or free. Many bike share systems allow people to borrow a bike from a "dock" which is usually computer-controlled wherein the user enters the payment information, and the system unlocks it.
User: sivagiri12
modelevaluation, Build and Deploy a binary classification model as a plagiarism detector
User: sophield
modelevaluation,Binary classification and Multiclass classification with pipelining and parameter tuning with GridsearchCV and RandomizedSearchCV
User: sureshathanti
modelevaluation,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
modelevaluation,The given data includes airline reviews from 2016 to 2019 for popular airlines around the world with multiple choice and free text questions. Data is scrapped in spring2019.The main objective is to predict whether passengers will refer the airline to their friends.
User: vaibhavdangar09
modelevaluation,Yes-Bank-Stock-Closing-Price-Prediction refers to a type of project or task in the field of data science and machine learning that involves developing predictive models to estimate the Closing Price of stock
User: vaibhavdangar09
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