The purpose of this video is to look at Kaggle, Peltarion AI, and the links between web scraping and data science.

Featuring demonstration/tour of Peltarion with the MNIST dataset using BERT and an introduction to using Kaggle datasets. Now, if you are able to get your own data using web scraping techniques then you can use that instead - this is the power of being able to link up you web scraping skills (Scrapy, BeautifulSoup, Pandas) and analyse your own data and make predictions using ML.

Even if you only do web scraping /data mining you will be more confident in your career if you have awareness of AI/ML and how your skills can help provide datasets for ML..

If you aim to explore AI using Python then there are valuable tutorials and ready made datasets to begin your studies.

If you use Python and want to know how it fits together with all of this then you will see at the end how the Peltarion models can be used with Python.

Take the free Peltarion starter course (The Peltarion AI Academy)

"Faster AI! - This course is designed for people who have no prior knowledge of AI" 🌏 https://faster-ai.teachable.com/courses/846606/lectures/15362511 ( You'll need to complete a free registration ) 🌏 https://faster-ai.teachable.com/courses/

= Chapter timings = 0:00 Introduction 1:09 The '10,000 hour rule' 6:09 Kaggle 12:15 SWOT 12:46 Peltarion 21:44 Compute time 26:43 Pricing 28:16 Integrate with Python

How to use the model with Python? see my code : 🌏 https://bit.ly/3v0MdfU

Visit redandgreen blog for more Tutorials

🌏 http://redandgreen.co.uk/about/blog/

Subscribe to the YouTube Channel

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Proxies

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🌏 10% off ScraperAPI : https://www.scraperapi.com?fpr=ken49 ◼️ Coupon Code: DRPI10 (You can also get started with 1000 free API calls. No credit card required.)

Thumbs up yeah? (cos Algos..)

#Peltarion #Kaggle #python #DataScience ... https://www.youtube.com/watch?v=ochChwgqZiU