model-testing
Here are 36 public repositories matching this topic...
Language:All
Sort:Most stars
📚 A curated list of papers & technical articles on AI Quality & Safety
- Updated
Oct 13, 2023
Implements an entire machine learning pipeline to train and evaluate a Random Forest Classifier on labeled gait data for walking. Data generated during the experiment has led to helpful insights in to the problem domain.
- Updated
Dec 8, 2022 - Python
This project promulgates an automated end-to-end ML pipeline that trains a biLSTM network for sentiment analysis, experiment tracking, benchmarking by model testing and evaluation, model transitioning to production followed by deployment into cloud instance via CI/CD
- Updated
Feb 1, 2023 - Python
Assignment-04-Simple-Linear-Regression-2. Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.
- Updated
May 30, 2021 - Jupyter Notebook
SDK for Inquire model test database API, by Sevan
- Updated
Jan 13, 2025 - Python
📝🔍🖼️ A deep learning application for retrieving images by searching with text.
- Updated
Dec 14, 2021 - Jupyter Notebook
Simple DB Fixtures for Sails.js v1 (fake data for testing).
- Updated
Nov 16, 2024 - JavaScript
Image Classifiers are used in the field of computer vision to identify the content of an image and it is used across a broad variety of industries, from advanced technologies like autonomous vehicles and augmented reality, to eCommerce platforms, and even in diagnostic medicine.
- Updated
Mar 1, 2023 - HTML
The primary objective of this project was to build and deploy an image classification model for Scones Unlimited, a scone-delivery-focused logistic company, using AWS SageMaker.
- Updated
Jan 24, 2023 - HTML
mask rcnn training with coco-like dataset. You can use for trainnig your own coco.json (polygon) dataset in Google Colab.
- Updated
Nov 8, 2021 - Jupyter Notebook
Supervised-ML-Decision-Tree-C5.0-Entropy-Iris-Flower-Using Entropy Criteria - Classification Model. Import Libraries and data set, EDA, Apply Label Encoding, Model Building - Building/Training Decision Tree Classifier (C5.0) using Entropy Criteria. Validation and Testing Decision Tree Classifier (C5.0) Model
- Updated
Nov 9, 2021 - Jupyter Notebook
Showcase of MLflow capabilities
- Updated
Jan 17, 2021 - Jupyter Notebook
Assignment-04-Simple-Linear-Regression-1. Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Mo…
- Updated
May 29, 2021 - Jupyter Notebook
A python package, command-line tool, and Shiny application to compare short tandem repeat (STR) profiles.
- Updated
Mar 10, 2025 - HTML
Data Science Project (Decision Trees & Random Forests M11)
- Updated
Jan 6, 2025 - Jupyter Notebook
The main objective is to understand the relationship between diffeent variable and testeing many Regression model and choosing the efficent one them predincting new points
- Updated
Jun 14, 2023 - R
Credit Card Fraud Detection Using Machine Learning
- Updated
Nov 30, 2022 - Jupyter Notebook
Model Tester is a utility for automatically testing model classes.
- Updated
Jul 28, 2023 - Java
It involves prediction of House prices in Melbourne using Machine Learning. It involved concepts of Data extraction, Data Preprocessing, Data Visualisation, Data Aggregation, Model Creation and Testing. It comes under Supervised Learning.
- Updated
Jan 10, 2022 - Jupyter Notebook
Improve this page
Add a description, image, and links to themodel-testing topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with themodel-testing topic, visit your repo's landing page and select "manage topics."