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7 Categorical Data Encoding Techniques
...summarized in a single frame.
Dec 2
•
Avi Chawla
7
How to Use kNNs for Imbalanced Datasets
2 techniques, explained visually.
Nov 28
•
Avi Chawla
2
Euclidean Distance vs. Mahalanobis Distance
Euclidean distance is not always useful.
Nov 27
•
Avi Chawla
8
1
Cyclical Feature Engineering
...explained with usage and code.
Nov 22
•
Avi Chawla
3
1
Federated Learning in ML
...explained visually.
Nov 11
•
Avi Chawla
2
Momentum in ML, Explained Visually and Intuitively!
(a popular ML interview question)
Nov 7
•
Avi Chawla
3
Top Gradient Boosting Methods
...summarized for ML engineers.
Oct 24
•
Avi Chawla
4
KernelPCA vs. PCA for Dimensionality Reduction
...explained with visuals.
Oct 15
•
Avi Chawla
4
A Memory-efficient Technique to Train Large Models
...that even LLMs like GPTs and LLaMAs use.
Oct 14
•
Avi Chawla
1
Breathing KMeans vs KMeans
Robustify KMeans with centroid addition and removal.
Oct 7
•
Avi Chawla
4
1
Activation Pruning for Model Compression (with implementation)
Removing 74% neurons with 0.5% accuracy drop.
Oct 2
•
Avi Chawla
5
What is Contrastive Learning?
A popular ML interview question, explained with a use case.
Sep 25
•
Avi Chawla
3
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