Debanjan Saha – Medium

Debanjan Saha

Pinned

[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

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

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, 2024

Apple Intelligence

Jun 11, 2024

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, 2024

GPT4-Omni is Fast! Here’s Why?

May 18, 2024

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

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

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

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

T-Distributed Stochastic Neighbor Embedding (t-SNE)

Introduction

Feb 15, 2023

T-Distributed Stochastic Neighbor Embedding (t-SNE)

Feb 15, 2023

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

Filter Based Feature Selection Techniques

When there are a lot of predictors (or features), it is often best to pick the most important ones and get rid of the rest. There are many…

Feb 12, 2023

Filter Based Feature Selection Techniques

Feb 12, 2023

Gradient Descent and Regression

The most frequently asked question in Data Science interviews is about gradient descent. Finding the gradient of a function is maybe the…

Feb 6, 2023

Gradient Descent and Regression

Feb 6, 2023

Singular Value Decomposition

Singular Value Decomposition (SVD) is a factorization of a matrix into three matrices: U, S, and V. It can be written as:

Feb 4, 2023

Singular Value Decomposition

Feb 4, 2023

Eigenvalue Decomposition

Many a times people get confused about eigenvalue decomposition, and it becomes really hard to visualize how eigenvectors are decomposed…

Feb 2, 2023

Eigenvalue Decomposition

Feb 2, 2023

Vector Norms

We frequently see phrases such as L1 norm, L2 norm, and many others, but many people are unsure which one to use and under what situations…

Jan 31, 2023

Vector Norms

Jan 31, 2023

Running Totals, and Moving Averages

During interviews, it has been observed that the interviewer can perplex candidates by asking them how to calculate running totals or…

Jan 30, 2023

Running Totals, and Moving Averages

Jan 30, 2023

Top 10+ Missing Data Imputation Strategies in Pandas

Is your dataset filled with missing values and you are confused on how to fill in this missing values? Sit tight, as in this article we…

Jan 25, 2023

Top 10+ Missing Data Imputation Strategies in Pandas

Jan 25, 2023

Easily Configure Multiple GitHub Accounts

Have you ever had to use numerous logins for various GitHub accounts from a single computer or laptop? It might not seem like a major deal…

Oct 29, 2022

Easily Configure Multiple GitHub Accounts

Oct 29, 2022

To Python or Not to Python?

I’m presuming you’re here because you’re a coder or you want to be one. So, when someone asks you, “What is your favorite programming…

Oct 4, 2022

To Python or Not to Python?

Oct 4, 2022

Pandas Merge— The only article that you’ll ever need!

As a Data Analyst or Data Scientist, you will frequently be required to analyze several dataframes or datasets (I will use them…

Sep 22, 2022

Pandas Merge— The only article that you’ll ever need!

Sep 22, 2022

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.

Following

Lists

Interview Sets

MLOps

Feature Engineering

Help
Status
About
Careers
Press
Blog
Privacy
Terms
Text to speech
Teams