model-performance

The open standard for data logging

A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data 🚀

In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. You will learn how to build and derive insights from these models using Python, and Azure Notebooks.

This repository comprises of the projects and assignments that i have completed during my tenure at Great Lakes for the course program PGP-AIML. This repository also includes the lab work thatwas done during the classes and even those that were given as assessments.

predict the rent price of a house based on its surface

Improve the speed and accuracy of detecting and localizing brain tumors based on MRI scans.

Neural Networks and Deep Learning Models

Multiple Linear Regression and Logistic Regression using the Boston housing dataset

This repository contains an academic project developed in jupyter notebook using python language and machine learning algorithms.