Want to Master K-Means? - DSBoost #44
Featured content to master K-Means
K-means clustering is a widely used technique in data science. Now we bring you some content so you can master this algorithm:
An introduction by David here:
How the model is trained
How the prediction works
Matt explains K-Means on an advanced level. He lists 10 points about the algorithm you must know!
How to implement K-Means in Python:
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Some productivity tips
The Ivy Lee Method is a simple, five-step time management system. Here are the steps:
End of Day Task List: At the end of each work day, write down the six most important tasks to accomplish the next day. It's important not to exceed six tasks.
Prioritize the Tasks: Organize these tasks in order of importance.
Focus on the First Task: Start the next day with the most important task. Work on it until it's completed before moving on to the next task.
Move to the Next Task: Proceed to the next task only after finishing the previous one. If a task is too long, break it down into smaller parts and follow the same process.
Repeat: At the end of the day, spend 10 minutes planning the next day's tasks.
This method, created by Ivy Lee in 1918, emphasizes prioritization and focus to increase productivity. It was so effective that Charles M. Schwab, the president of Bethlehem Steel Corporation, paid Lee a significant sum for it. James Clear, in his book "Atomic Habits," advocates for this method due to its simplicity and effectiveness.