How to build a machine learning model - Complete guide for your first data science project

SO many juicy links to help you on your journey (you can thank me by liking, subscribing and sharing ;) )

** note: the links below are affiliate links, meaning I receive a small referral commission

FIND A SUPER COOL DATA SCIENCE MENTOR

MY RECOMMENDED DATA SCIENCE COURSERA COURSES




And finally, for data people who didn’t major in computer science and are tired of getting made fun of by software engineers:

OTHER LINKS - MENTIONED IN VIDEO

Scraping data from the web:

Pandas profiling - an EDA Python Library:

Feature Scaling / Standardization and Normalization:

Dimensionality Reduction:

K-Fold Cross Validation:

Model Deployment

#datascience #machinelearning #codingproject #pythonproject

[sagar_virmani]

Can't seem to get enough of that 'Exploratory data analysis at 3:14. Really like the fun elements you put in there.

[ControlTheGuh]

this is easily one of the best videos I've seen giving a big picture view. Would love to see model deployment as well as Nr3) Dimensionality reduction/feature egnieering/standardization

[Nedwin]

This might be the best channel in data science discussion! ❤️❤️❤️

[binry_dstructr]

This video basically summarizes my entire AI/ML education on Udemy thus far over the span of the last two years. Fantastic job!

And yes, I don't ever recall taking any course that talks about actual model deployment. If it does, then it only treats deployment as an afterthought.

[MicahJohns]

Hey! Longtime follower on TikTok, starting to develop myself more in this skillset. Thanks for making content like this.

[go_better]

Thanks! It all makes much more sense now! Wery well structured video and thanks for the outlines! Also, ur very cute 😊

[binry_dstructr]

I'm currently in the very initial stages of building a malware classifier for my first non-academic project (e.g., is it a backdoor Trojan, spyware, ransomware, etc.). I work for a large cyber security firm, so obtaining malware samples is not a problem. The problem is the code in malware is commonly obfuscated through compression or encryption, and the only way to deobfuscate the code reliably is to RUN THE MALWARE 😱

To be perfectly honest, I'll probably give up on this project, but just going through the process of thinking about how I'd tackle something like this gives me a new appreciation for data engineering monkeys.

[carloschirinos]

Your idea behind this video is excellent! You show the whole picture about a data science project. This way, beginners in the field, like me, can visualize better the whole process. I only would like to watch another video with a real -life project without using kaggle examples or that kind of data sets. As you well mention, date sets in real projects are quite different to those sets from kaggle. I hope you can keep doing this excellent work!

[pmiller]

Great video, and just the right amount of winks!

[jek]

A viewer from Malaysia. I really like your content because your contents help people to understand the reality of data science. Also, your latest tiktok video is very on point in giving awareness to the young ladies especially the pretty one nowadays, kudos to that.

Would you mind to do a video that explains the basic requirement of being a junior and a senior data scientist in your industry? It is because every industry has different needs in data scientists so the skills may vary a lot. I just want to compare whether my skills are on par with people with different industries.

[autismandndadvocacyassocia]

You should make a video on how to make a model with categorical data :)

[vaishnavemanoharan]

Love this video! Super useful for students

[israelc]

I remember my second project had a 80% accuracy, then I found out that was the base accuracy 💀 felt like an idiot. Choosing the right evaluation metrics matters a LOT!

[guiasingeek]

AKA EDA... don't promiss! do it again!

[anthonyshea]

You thought we wouldn’t notice ‘Bananas’ but we did hahah

[jfrankx]

I am barely learning the basics of programming so I don’t understand this but hopefully I can come back in a few months and actually use and understand this guide. Are you currently working in the field or are you a full time content creator? It would be interesting to know some of the stuff you do on a field related job

[chunshanfeng]

I like your video, can you make more about machine learning?

[Jeff-ptsw]

amazing detail of explanation! can you teach us actually how to do all those things for the next video?

[seb]

Do u have any advice for learning R? How many hours a week to learn and master R for a "avergae joe"? How is 365 data science?

Rn im getting an MSBA but I am not sure if it's best to start as a data analyst or try to become a junior data sci. I't seems like data sci jobs require eithers years of expereicne or a phd.

I'm trying to traget finance, tech, or maybe healthcare (perhaps human gene editing, somehow?)

So here my ideas for lack of work experience:
1. Side Projcets (post on github?)
2. School clubs
3. Research with Professor in AI, Machine learning, Deep Learning or something along those lines.

Any advice would be great!

[juancruzbarneix]

could you make a video of modeling deployment? I am kind of newbie on ML so take your time to do it, there is no hurry lol