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Kaggle - Intro to Machine Learning

My Tryst with Machine Learning – Intro to Machine Learning (Kaggle)

This ๐Š๐š๐ ๐ ๐ฅ๐ž ๐œ๐ž๐ซ๐ญ๐ข๐Ÿ๐ข๐œ๐š๐ญ๐ข๐จ๐ง is more an acknowledgement of my continued interest in the topic of AI and Machine Learning than itโ€™s acquisition.

I have been flirting with AI and Machine Learning, trying to pick as many use cases as possible especially in my sales and marketing role.

My first course โ€œ๐“๐ก๐ž ๐ƒ๐š๐ญ๐š ๐’๐œ๐ข๐ž๐ง๐œ๐ž ๐‚๐จ๐ฎ๐ซ๐ฌ๐ž: ๐‚๐จ๐ฆ๐ฉ๐ฅ๐ž๐ญ๐ž ๐ƒ๐š๐ญ๐š ๐’๐œ๐ข๐ž๐ง๐œ๐ž ๐๐จ๐จ๐ญ๐œ๐š๐ฆ๐ฉ 2024โ€ on Udemy was purchased on November 2021.

This purchase was made exactly a year before ChatGPT was released on 30 November, 2022.๐Ÿ˜‡

Release of ChatGPT made AI a public phenomenon and I was happy I had an early start.

๐‚๐ก๐š๐ญ๐†๐๐“ <-> ๐‹๐š๐ซ๐ ๐ž ๐‹๐š๐ง๐ ๐ฎ๐š๐ ๐ž ๐Œ๐จ๐๐ž๐ฅ <-> ๐†๐ž๐ง๐ž๐ซ๐š๐ญ๐ข๐ฏ๐ž ๐€๐ˆ are related and have enormous number of use cases in sales and marketing sphere.

I have tried to first learn, understand and adopt the AI applications and then dig deeper into the technology behind them.

I had been hearing about Kaggle for quite some time but didnโ€™t really interact with it much.

Kaggle is a data science competition platform and online community of data scientists and machine learning practitioners under Google LLC.

I had a perception that it was โ€œmostlyโ€ a website which gives you access to a lot of data that you require for training your models.

I was pleasantly surprised๐Ÿ˜ฒ that it had some very to -the-point courses and competitions as well.

Since I had already done a bootcamp and kept in touch with the latest developments in AI, I thought it was time to try my hand on it.๐Ÿ™Œ

I am happy to share that I have received my first certificate on Kaggle on the topic โ€œ๐ˆ๐ง๐ญ๐ซ๐จ ๐ญ๐จ ๐Œ๐š๐œ๐ก๐ข๐ง๐ž ๐‹๐ž๐š๐ซ๐ง๐ข๐ง๐ โ€.

๐ˆ๐ง ๐ญ๐ก๐ข๐ฌ ๐œ๐จ๐ฎ๐ซ๐ฌ๐ž:

1๏ธโƒฃ I completed bite-sized lessons.

2๏ธโƒฃ Ran small code snippets to build models.

3๏ธโƒฃ Train, Test and Validate model with data

4๏ธโƒฃ Evaluate models predictive strength.

๐๐ž๐ฑ๐ญ ๐’๐ญ๐ž๐ฉ:

The model that I have submitted has a certain score and a rank. I can keep refining the model and bettering my score.

This particular competition is 6 years old, and it has 6 more years to go before it closes so I guess I have enough time.๐Ÿ˜…

This course focused on Decision Tree and Randomforrest models to predict house prices based on 70+ property features.

๐Œ๐ฒ ๐‹๐ž๐š๐ซ๐ง๐ข๐ง๐ :

1๏ธโƒฃ Knowledge of building, training and evaluating models is important but practicing and keeping your knowledge up to date is even more so.

2๏ธโƒฃ ChatGPT is great in helping you with code generation and debugging

3๏ธโƒฃ Youtube is your best friend in gaining more knowledge about the topic and concepts.

Do you think marketers should go into the technicalities of the technology and code that is driving their marketing tools? Comment below.

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