Simplifying Data Science and Machine learning for beginners🤖
I share valuable threads & resources on DS/ML/DL
@kaggle Master|Python|ML|Data|Analytics|Tech
A complete data science roadmap for beginners🤖🚀
▶ Roadmap, tech-stack, learning resources, & projects to build a portfolio along with Timeline📅⏲
A thread🧵↓
SQL is the most used database querying language but it's slow and inefficient
To query the database efficiently @esProc_SPL has developed a faster alternative to fetch data with fewer lines of code
Learn more about the same👇
blog.scudata.com/the-impasse-of-sql-performance-optimizing/
A major difference between SQL and SPL is that SPL uses a set of data types and operations to accelerate the performance of database querying.
SPL does not rely on relational databases or databases to fetch the data instead it uses a separate computing engine.
Data storage and warehousing concepts to know as a data scientist👇
Data storage and warehousing are important components of modern data engineering.
With the exponential growth of data, it’s critical to have an efficient and scalable storage solution in place that can handle large amounts of data.
🤖📚 Beginner's Guide to Machine Learning 📚🤖
Machine learning can seem intimidating to novices.
Check out this thread that breaks down the basics into simple, easy-to-understand explanations
Data is the foundation of any ML/AI or data science project🤖
Without good data, it is impossible to train a machine learning model or build a data science product.
Here's why good data is important and how to get them👇
1/ If you have done any data science project then you must have noticed that data is paramount in your modeling and deployment.
Data is the fuel that drives machine learning models. Without data, machine learning models cannot learn or make predictions
As a student academic writing is invaluable to becoming successful in your academic journey📝
Writing an essay takes hours of searching through countless papers and research articles
Introducing
@sourcelyai - an AI-powered tool to find sources for your
essays!👇
⚡sourcely.net allows you to find, summarize, and format sources for your academic papers with ease!!
Instead of going through hours through google scholar databases and searching across the web "Sourcely" is the way to make your life easier!
Documenting processes and guidelines can be tedious with boring screenshots and screen recordings😪
But there's a better way to create guidelines for your users or your team
Introducing @ScribeHow - an AI-powered tool to generate step-by-step guides (without tears)
Boosting algorithm clearly explained...
Boosting algorithms has always been a topic of discussion in the ML community due to their performance and generalization power🤖
let's deep dive into this exciting algo👇