Debanjan Saha – Medium

Debanjan Saha

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Debanjan Saha

[Probability Review] Top 6 Basic Probability Distributions You Should Know!

As a data scientist or machine learning engineer, you should be quite familiar with a few probability distributions. We may often model a…

Feb 11, 2023

[Probability Review] Top 6 Basic Probability Distributions You Should Know!

Feb 11, 2023

Pinned

Debanjan Saha

Top 5 Pandas EDA Value Replacement Techniques

How to replace certain (multiple) values or a range of values with another (multiple) value in a Pandas dataframe?

Sep 24, 2022

Top 5 Pandas EDA Value Replacement Techniques

Sep 24, 2022

Debanjan Saha

Apple Intelligence

Imagine a world where your Apple devices not only understand you but anticipate your needs, seamlessly integrating into your daily life to…

Jun 11

Apple Intelligence

Jun 11

Debanjan Saha

GPT4-Omni is Fast! Here’s Why?

I have been experimenting with the various Large Language Models (LLMs) released in recent times, but since OpenAI released GPT4 Omni…

May 18

GPT4-Omni is Fast! Here’s Why?

May 18

Debanjan Saha

Transformers (NLP): Intuition

Unlocking the AI Marvel: The Power Behind Transformers in NLP!” 🚀 Dive into the heart of Large Language Models (LLMs) like ChatGPT, BARD…

Sep 30, 2023

Transformers (NLP): Intuition

Sep 30, 2023

Debanjan Saha

Gain, Lift and Decile Charts

Are you struggling to accurately evaluate your classification model’s performance? Don’t fret! Try Gain, Lift and Decile charts to evaluate…

Feb 23, 2023

Gain, Lift and Decile Charts

Feb 23, 2023

Debanjan Saha

The ROC-AUC Curve!

“Imagine you have a crystal ball that can predict the future with incredible accuracy. Sounds awesome, right? But how do you know if your…

Feb 20, 2023

The ROC-AUC Curve!

Feb 20, 2023

Debanjan Saha

The only Performance Metrics article you will ever need!

Performance metrics are a crucial part of machine learning, as they allow us to evaluate the quality of a model and make informed decisions…

Feb 17, 2023

The only Performance Metrics article you will ever need!

Feb 17, 2023

Debanjan Saha

T-Distributed Stochastic Neighbor Embedding (t-SNE)

Introduction

Feb 15, 2023

T-Distributed Stochastic Neighbor Embedding (t-SNE)

Feb 15, 2023

Debanjan Saha

Wrapper Based Feature Selection Techniques

There are many ways in which features can be selected from a set of predictors to improve the performance of the machine learning models…

Feb 13, 2023

Wrapper Based Feature Selection Techniques

Feb 13, 2023

Debanjan Saha

Debanjan Saha

Trying to solve a variety of issues with an emphasis on computer vision as a budding data scientist, ML engineer, and data engineering veteran.

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