5 Beginner Data Science Projects to start today!

preview_player
Показать описание
In this video, I walk through 5 beginner data science projects starting in data analysis and progressing towards machine learning!

Tina’s channel:

___________________

Resources mentioned in video

Personal finance and budgeting

NFTs

Trading bot:

EMA crossover strat:

RSI strat:
Code -

League of legends

Anime recommender

[bonus] Youtube comments sentiments

From Joma Media
Рекомендации по теме
Комментарии
Автор

thank you so much! I've been searching so hard for creative project ideas. After hours of scrolling, i finally found a video worth my YouTube search!❤️🙏

SmileWithKhushi
Автор

Correlations only matter if there is divergence, it's a strategy Larry williams tought.

But recently got intresting in coding, with and economic background, so i am glad i found this channel

vinoco
Автор

The league of legends one will
Be super fun to build! Thank you for your awesome videos and ideas.

mrCetus
Автор

"Thank You", thank you very much

Inquire
Автор

I'm new here, and learning logics and algorithm yet, but woul love to see more projects, for newbies, intermediate e advanced coders... I knew I have to practice a lot to become good.

maurolimaok
Автор

Oh my gosh this is so cool! Real world fun DIY financial literate centered projects

jackofalltradelines
Автор

Tina, thank you for helping me getting started into data science field. I am trying to get into real project and portofolio, hopefully i can switch my career soon!

samuderaaribowo
Автор

Thank you for the list of projects on Datascience.

CrusadeVoyager
Автор

Didn't know you guys collaborated. Nice to see you on this channel

caotuanvo
Автор

Thanks iam very pumped to kick start my data analytics Projects

ankitanaik
Автор

Viewing a person as a vector is a very interesting concept.
Even though the output by the person is a scalar rating, each individual can represent a vector.
The rating itself can represent a dot product between the person and the unit vector of the product.
If we collect rating from a same group of people on different products, we can categorized each product using these people as a guide.
We can also group people together if they rate the product similarly and use them interchangeably if we are missing data on some people on some products.

porcorosso
Автор

Tina, you are the best! I have completed the Data Analyst course, but Data Science seems so interesting in your videos! I will try to follow your advices to complete projects from this video. Thanks!

rozumum
Автор

Hey Joma, found some projects for u to do while being down from the booster shot.

painkillerharold
Автор

thanks much dataiku for sharing, very usefull and nice video, i will wait next videos.

tellidefter
Автор

Good stuff here! Thank you for the inspiration!

tylerhill
Автор

Thank you! Looking forward to more insightful videos.

Fox-Hunter
Автор

would be nice to combine all the hard selling in the end :)

stephenkurniawan
Автор

This is amazing Look complicated but I'm intrigued!. Is it as easy as PlutoHQ Trading, Ninja, MegaTrade, etc make out to be?

larrygranda
Автор

Since you guys did a video about linear.

Can you guys do video about exponential, Quadrant and sine

waleedbashir
Автор

I like the NFT idea! But by looking at the dataset and the Feature importance article, I don't understand how to implement that, can someone give me a hint?

David-fphy