"Machine Learning Notes I Wish I Had from Day 1: How to Encode Numerical Data"
Though ML models mostly need numbers, sometimes those numbers need to be converted into categories as well. Read about all here: medium.com/@sumaiyahass...
"Machine Learning Notes I Wish I Had from Day 1: How to Encode Numerical Data"
Though ML models mostly need numbers, sometimes those numbers need to be converted into categories as well. Read about all here: medium.com/@sumaiyahass...
"Machine Learning Notes I Wish I Had from Day 1: How to Encode Categorical Data"
This one's all about learning ordinal vs. one-hot encoding and how to avoid the dummy variable trap.
Read Here: sumaiyahassan.medium.com/machine-lear...
"Machine Learning Notes I Wish I Had from Day 1: How to Encode Categorical Data"
This one's all about learning ordinal vs. one-hot encoding and how to avoid the dummy variable trap.
Read Here: sumaiyahassan.medium.com/machine-lear...
“Machine Learning Notes I Wish I Had from Day 1: Understanding the YData Profiling Report Step-by-Step”
This one’s all about a tool that can literally save you 50% of your data preprocessing stress. YData Profiling.
Here is the link: medium.com/@sumaiyahass...
“Machine Learning Notes I Wish I Had from Day 1: Understanding the YData Profiling Report Step-by-Step”
This one’s all about a tool that can literally save you 50% of your data preprocessing stress. YData Profiling.
Here is the link: medium.com/@sumaiyahass...
I have started sharing my ML notes on Medium. If you've ever thought, “ML sounds cool, but I don’t know where to start,” this series is for you. I’ll be sharing concepts, visuals, notes, examples, and real-world analogies.
Here is the link: sumaiyahassan.medium.com/machine-lear...
I have started sharing my ML notes on Medium. If you've ever thought, “ML sounds cool, but I don’t know where to start,” this series is for you. I’ll be sharing concepts, visuals, notes, examples, and real-world analogies.
Here is the link: sumaiyahassan.medium.com/machine-lear...