workshop-introduction-to-machine-learning VS Workshops

Compare workshop-introduction-to-machine-learning vs Workshops and see what are their differences.

workshop-introduction-to-machine-learning

Come ready to discover the goals and approaches of machine learning, and how to build effective algorithms and solutions! (by datastaxdevs)
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workshop-introduction-to-machine-learning Workshops
1 1
7 355
- 0.3%
1.9 6.3
11 months ago 5 months ago
Jupyter Notebook Jupyter Notebook
- MIT License
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workshop-introduction-to-machine-learning

Posts with mentions or reviews of workshop-introduction-to-machine-learning. We have used some of these posts to build our list of alternatives and similar projects.

Workshops

Posts with mentions or reviews of Workshops. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing workshop-introduction-to-machine-learning and Workshops you can also consider the following projects:

dados-censup - Automação da ingestão de dados disponibilizados pelo INEP referente ao censo superior da educacão brasileira.

tensor-house - A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

synapse-azure-data-explorer-101 - Getting started with Azure Synapse and Azure Data Explorer

it-salary-analysis - 💰 Analysis of Salaries in IT Roles: DevOps, Cyber Security, and AI

pyspark_nlp_workshop - Instructions and code for the workshop "From Big Data to NLP Insights: Unlocking the Power of PySpark and Spark NLP"

Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

artificial-self-AMLD-2020 - Workshop material for the AMLD 2020 workshop on "Meet your Artificial Self: Generate text that sounds like you"

nlpaug - Data augmentation for NLP

ZeroSync - A STARK proof to sync a Bitcoin full node in an instant.

100DaysOfML - 100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building

cybergift - 4+ million web3 agents eligible

imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).