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Shashindra Silva

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Five Approaches to Determine Feature Importance in Classification Problems

In a machine learning problem, determining the importance of features plays a vital role in understanding the relationship between…

Jul 11, 2023

Five Approaches to Determine Feature Importance in Classification Problems

Jul 11, 2023

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Three ways to find the period of a timeseries

This post covers 3 ways to find the period of a timeseries using City of Ottawa dataset with daily service calls as the source.

Feb 19, 2023

Three ways to find the period of a timeseries

Feb 19, 2023

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DataDrivenInvestor

Four Ways to Cluster based on Correlation

We continue our analysis on the stock price timeseries data from 20 companies and cluster companies together based on the correlation.

Mar 13, 2023

Four Ways to Cluster based on Correlation

Mar 13, 2023

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DataDrivenInvestor

Contextual Multi-Armed Bandits

Learn the fundamentals of contextual multi-armed bandits, key challenges, real-world applications, and evaluation metrics in reinforcement…

May 14

Contextual Multi-Armed Bandits

May 14

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DataDrivenInvestor

Probability and Statistics for Data Scientists

Article 2: Descriptive Statistics

May 9

Probability and Statistics for Data Scientists

May 9

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DataDrivenInvestor

Standardized Mean Difference (SMD)

How to Detect Bias for Causal Analysis

Mar 25

Standardized Mean Difference (SMD)

Mar 25

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DataDrivenInvestor

Fixed vs. Variable Rate Mortgages: A Data-Driven Comparison

Buying a house is one of the most significant decisions in life. Beyond selecting a home you like, choosing the right mortgage type plays a…

Feb 2

Fixed vs. Variable Rate Mortgages: A Data-Driven Comparison

Feb 2

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DataDrivenInvestor

Overcoming Python’s Venn Diagram Limitations: Custom Solutions for Set Visualization

Learn how to enhance Venn diagrams in Python by including universal sets and improving data visualization demonstrated with the Titanic…

Oct 19, 2024

Overcoming Python’s Venn Diagram Limitations: Custom Solutions for Set Visualization

Oct 19, 2024

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DataDrivenInvestor

Probability and Statistics for Data Scientists Introduction

Data science and machine learning have rapidly gained prominence in recent years. AI’s integration into our daily lives, exemplified by…

Oct 9, 2024

An illustration representing the foundations of data science with a focus on probability and statistics. The graphic features symbolic representations like dice for chance (probability), bar graphs and data charts signifying statistical analysis, and abstract lines representing machine learning algorithms. The color scheme includes shades of blue, green, and white, creating a modern and professional aesthetic.

Oct 9, 2024

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DataDrivenInvestor

ROUGE and BLEU: Measuring Language Model Quality

As Large Language Models (LLMs) continue to advance, the need for robust evaluation metrics becomes increasingly critical. Traditional…

Aug 8, 2024

Visually appealing illustration featuring two pills, red and blue, with Large Language Models (LLMs) to represent the concepts of ROUGE and BLEU evaluation metrics.

Aug 8, 2024

Shashindra Silva

Shashindra Silva

Senior Data Scientist experienced in reinforcement learning, causal inference, and classical machine learning. Interested in quantum computing.

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