MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
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Updated
May 20, 2024
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Classification of Breast Cancer diagnosis Using Support Vector Machines
Machines and people collaborating together through Jupyter notebooks.
Notebook of the Crash Course of Pandas 2018
A collection of web crawlers, preprocessing pipelines, notebooks, and interactive dashboards for the 'Online Data Science Courses' project
Course lectures including accompany Azure Notebooks for "Hands-on Data Science on Microsoft Azure"
Running jupyter notebooks as pipelines
In this project, we are using the Bank Marketing dataset to create a cloud-based machine learning production model and a pipeline on Azure Machine Learning. We will create a model with Auto Machine Learning, deploy it, and consume it
Classification of Breast Cancer diagnosis Using Support Vector Machines
A repository for DS knowledge. Save your tokens in that LLM and commit these to memory instead.
Tool for making reusable code from linear ipython notebooks.
This repository contains pre-requisite notebooks of Machine Learning Course from Kaggle for my internship as a Machine Learning Application Developer at Technocolabs.
This repository contains one of the pre-requisite notebooks for my internship as a Data Analyst at Technocolabs. It includes some of the micro-courses from kaggle.
The purpose of this project is to promote understanding -- my own and others' -- of fundamental data science and machine learning concepts and tools. It currently consists of one notebook that classifies fruit types based on weight, volume, and image data.
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