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Build AI Copilots with Ease Using CopilotKit
A hands-on guide.
9 hrs ago
•
Avi Chawla
17
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Build AI Copilots with Ease Using CopilotKit
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8 Fatal (Yet Non-obvious) Pitfalls in Data Science
...and how to identify and handle them.
Apr 23
•
Avi Chawla
26
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8 Fatal (Yet Non-obvious) Pitfalls in Data Science
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Intrinsic Measures for Clustering Evaluation
Three reliable methods for clustering evaluation.
Apr 22
•
Avi Chawla
23
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Intrinsic Measures for Clustering Evaluation
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Function Overloading in Python
A missing element of Python OOP.
Apr 21
•
Avi Chawla
34
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Function Overloading in Python
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4
Train Classical ML Models on Large Datasets
Extending the Bagging objective.
Apr 18
•
Avi Chawla
20
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Train Classical ML Models on Large Datasets
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3
How To Avoid Getting Misled by t-SNE Projections?
Some key and lesser-known observations from t-SNE results.
Apr 17
•
Avi Chawla
17
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How To Avoid Getting Misled by t-SNE Projections?
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Enrich Matplotlib Plots with Inset Axis
Guide the viewer’s attention.
Apr 16
•
Avi Chawla
23
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Enrich Matplotlib Plots with Inset Axis
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5 Must-Know Ways to Test ML Models in Production
...with implementation.
Apr 14
•
Avi Chawla
19
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5 Must-Know Ways to Test ML Models in Production
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Enrich Matplotlib Plots with Annotations
Guide the viewer’s attention.
Apr 13
•
Avi Chawla
31
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Enrich Matplotlib Plots with Annotations
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Train and Test-time Data Augmentation
More data from existing data.
Apr 12
•
Avi Chawla
and
Banias Baabe
18
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Train and Test-time Data Augmentation
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Why Pandas DataFrame Iteration is Slow?
No, vectorization is not the answer!
Apr 11
•
Avi Chawla
36
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Why Pandas DataFrame Iteration is Slow?
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Condense Random Forest into a Decision Tree
Preserve generalization power while reducing run-time.
Apr 9
•
Avi Chawla
37
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Condense Random Forest into a Decision Tree
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