[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes
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Updated
Jul 11, 2023 - Python
[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes
A reinforcement learning model specialized in stock prediction utilizing deep learning techniques, incorporating reward mechanisms, compatible with any machine equipped with Python.
Classification Metric Manager is metrics calculator for machine learning classification quality such as Precision, Recall, F-score, etc.
Big Data Project - SSML - Spark Streaming for Machine Learning
A set of python scripts for spatially explicit accuracy assessments of binary, gridded geospatial data, e.g., for human settlement data mapping built-up (1) and not built-up (0) areas.
This website is an application of Machine learning classification model where the airline company can predict customer satisfaction while using their service are depending on which factors and can decide where they can invest much. It solves a real business problem (accuracy 93%)
This Project is based on Neural Network to classify between Dogs and Cats.
Script to spell check that records misspelled words in a TSV (tab-separated values) file. Python.
TakenMind Global Internship Program is recognized under United Nations Sustainable Development and Growth (SDG) and is a highly recognized International Certification Program. - Reference Link to the United Nations SDG #26437 TakenMind Program. TakenMind (powered by United Nations SDG Program) is offering a Global Internship in Data Analytics an…
Experience predictive healthcare with our Streamlit app. Utilizing Random Forest, our tool analyzes medical data to assess diabetes risk swiftly. Ideal for healthcare professionals and researchers, this user-friendly app simplifies risk evaluation. Join us in the fight against diabetes.
Voting Ensemble & Stock Prediction - Project Submission for Data Mining & Machine Learning Module
Get insights over your prediction's accuracy regardless of how it was obtained
ABCRaster stands for Accuracy assessment of Binary Classified Raster. It is a package for performing validation, accuracy assessment, or comparing binary classified rasters (.tiff) versus a reference (.shp). Primary use case is to compare flood maps encoded as (1,0) in tiff file format against a reference vector from CEMS.
Python CLI which plays hangman, given knowledge of a dictionary. Contains accuracy metrics for word-level and character-level. Does NOT include human interaction.
Compute the metric of text recognition algorithm.
The main objective of this project is to predict the selling price using Regression Models and identify the product status using the Classification Models. Streamlit is used to enhance accessibility and usability, allowing the users to obtain predictions for selling price and product status.
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