The BigdataElearning Blog
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Hey there! Are you just starting out in data science and feeling overwhelmed by what is probability distribution and wondering what are the different types of probability distributions?
You're not alone!
Many people in your shoes wonder: what are the most commonly used probability distributions in...
Have you faced missing data in your data science projects?
Ever wondered if there are effective strategies to handle those pesky missing values in your precious dataset?
Perhaps you've come across the term "data imputing" in machine learning, and now you're curious about what it actually means and h...
Are you curious about this mysterious Chi-Square test in Data Science?
Scratching your head about how to make sense of Chi Square results in machine learning?
So, if you're wondering what this Chi-Square test in Data Science is all about and how to make sense of its results, put on your detecti...
Have you ever had a heated debate with your friends on a topic?
Picture this: you confidently declare that drinking green tea will reduce stress levels…
..but your friend disagrees and insists that it won't make a difference.
Well, congratulations! You've just engaged in hypothesis testing 😀
You ...
If you've ever used machine learning to solve a problem, you've likely encountered the term "confusion matrix."
Did you know that confusion matrices are widely used in evaluating the performance of machine learning models?
Yes, they help us understand how well our model is performing in terms of cor...
Have you ever heard of in-sample and out-of-sample in Data Science and felt confused about what it really means?
Data Science Explained In 20 Infographics“Data Science Made Simple: Learn It All Through 20 Engaging Infographics (Completely Free)" |
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You m...
Are you curious about what 'bias-variance trade-off' means in data science and machine learning?
Wondering why it matters so much when you're trying to build accurate machine learning models?
Let's break it down:
In this article you will learn
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