The BigdataElearning Blog
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Ever pondered what propels your car's efficiency?
It’s more than just the engine – it’s the intricate mix of metrics: speedometers, fuel gauges, and temperature indicators. They're the conductors of your vehicle's optimal performance.
Imagine taking it to a mechanic who...
The Power of Data Holds Huge Potential
Ever caught yourself wondering what all the fuss about Data Science is?
I bet there's a whirl of questions spinning in your head, like…
"Why's everyone talking about data science?" or "How's it different from fields like data analytics, business...
Before looking into feature selection for machine learning, do you know what “features” are?
When I started diving into feature selection techniques in machine learning, I used to wonder what the hell was “feature”.
“Feature” need not be a scary term in...
Do you ever find yourself lost in the myriad of options when training a machine learning model? Choosing the right algorithm is just the tip of the iceberg.
What lies underneath are hyperparameters, crucial settings that can make or break your model.
In this article from BigData ELearning,...
In our data-driven world, accuracy is paramount, agreed?
Imagine a world where Netflix always gets your movie preferences wrong, or your weather app consistently misleads you about whether to carry an umbrella.
Not ideal, right?
The technology we use and rely on has its foundations in...
Ever wondered why data scientists have a love affair with normalization and standardization in machine learning?
What's the secret behind these techniques that magically transform your data?
Well , read more to find out!! In this article we will look into the following topics
Ever scratched your head, staring at a dataset filled with names, or labels, wondering how machine learning algorithms makes sense of it all?
You're not alone.
Data encoding techniques come to the rescue in such situations, acting as a bridge between human-readable data and...
Ever wondered how Spotify knows exactly what song you want to listen to next or how your online shopping cart suggests just the right item?
Behind the scenes, it's all about data discretization in data science. This article aims to unravel the concept of data discretization and guide you...
Are you curious about unbalanced data and what it entails?
Maybe you are familiar with unbalanced data sets, but wondering what may be the best techniques to handle unbalanced data in machine learning effectively?
Don't worry, we've got you covered!
Before looking into the 6 techniques...
Heard about the train-test split in machine learning?
Ever Wondered why on earth do we need to split our precious data into two camps - training and testing datasets?
What exactly happens when you skip this fundamental step of train-test split & train your model on the entire...
When baking a cake, not all ingredients are as important to one another..
Like how Cream Cheese acts as an important ingredient for a cheesecake..
And like how cocoa powder acts as an important ingredient for a brownie..
Some are stars of the show, while others are not..
I’m sure...
Hey there! Ever wondered why data outliers are the unruly troublemakers of the data world?
Curious to know how data scientists handle the outliers in data?
You've landed at the perfect spot.
Before we look into the 9 outlier detection methods, you should first know what outliers are!
...
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