Daily Dose of Data Science

Daily Dose of Data Science

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Sklearn

Train Classical ML Models on Large Datasets
Extend the Bagging objective to any ML algorithm.
 • Avi Chawla
A Simple Implementation of Boosting Algorithm
...covered with design principles for Boosting.
 • Avi Chawla
7 Categorical Data Encoding Techniques
...summarized in a single frame.
 • Avi Chawla
Accelerate tSNE with GPU
Over 30x faster tSNE than Sklearn.
 • Avi Chawla
ANN-driven KMeans with Faiss
20x speedup over sklearn.
 • Avi Chawla
Categorization of Clustering Algorithms
6 types of clustering algorithms in a single frame.
 • Avi Chawla
Avoid Using PCA for Visualization Unless
...this plot says so.
 • Avi Chawla
KernelPCA vs. PCA for Dimensionality Reduction
...and when to not use KernelPCA.
 • Avi Chawla
DBSCAN++: The Faster and Scalable Alternative to DBSCAN
Addressing major limitations of DBSCAN.
 • Avi Chawla
How Decision Tree Computes Feature Importance?
The underlying mathematical details.
 • Avi Chawla
Sparse Random Projections
An alternative to PCA for highly dimensional datasets.
 • Avi Chawla
Cost Complexity Pruning in Decision Trees
Decision trees always overfit. Prevent it this way.
 • Avi Chawla
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