Shivamshinde – Medium

Shivamshinde

Shivamshinde
in
Artificial Intelligence in Plain English

Unlocking the Potential of Pandas: Must-Know Methods for Efficient Data Handling in Python

In this article, you will learn the very important and must-know methods present in the Python Pandas library.

Feb 8

Unlocking the Potential of Pandas: Must-Know Methods for Efficient Data Handling in Python

Feb 8

Shivamshinde
in
Towards AI

From Good to Great: Elevating Model Performance through Hyperparameter Tuning

This article will explain the concept of hyperparameter tuning and the different methods that are used to perform this tuning, and their…

Jan 26

From Good to Great: Elevating Model Performance through Hyperparameter Tuning

Jan 26

Shivamshinde
in
Towards AI

Guardrails for ML and DL Models: A Deep Dive into Regularization Techniques

This article will explain the concept of regularization in ML and DL. The article will also introduce readers to some of the most famous…

Jan 22

Guardrails for ML and DL Models: A Deep Dive into Regularization Techniques

Jan 22

Shivamshinde
in
Towards AI

Pause for Performance: The Guide to Using Early Stopping in ML and DL Model Training

This article will explain the concept of early stopping, its pros and cons, and its implementation using Scikit-Learn and TensorFlow.

Jan 19

Pause for Performance: The Guide to Using Early Stopping in ML and DL Model Training

Jan 19

Shivamshinde
in
Towards AI

Data Reliability 101: A Practical Guide to Data Validation Using Pydantic in Data Science Projects

This article will explain Why data validation is needed for the Python code, How it’s done using the Pydantic library, and How to integrate…

Jan 11

Data Reliability 101: A Practical Guide to Data Validation Using Pydantic in Data Science Projects

Jan 11

Shivamshinde
in
Artificial Intelligence in Plain English

A Step-by-Step Guide to Building an End-to-End Machine Learning Project

This article will show you the way you can create an end-to-end machine learning project.

Jan 6

A Step-by-Step Guide to Building an End-to-End Machine Learning Project

Jan 6

Shivamshinde
in
Towards AI

From Raw to Refined: A Journey Through Data Preprocessing — Part 6: Imbalanced Datasets

This article will explain the concept of imbalanced datasets and the methods used to handle them.

Jan 5

From Raw to Refined: A Journey Through Data Preprocessing — Part 6: Imbalanced Datasets

Jan 5

Shivamshinde
in
Artificial Intelligence in Plain English

From Raw to Refined: A Journey Through Data Preprocessing — Part 5: Outliers

A Simple Guide to Navigating Data Anomalies. Decode the mystery behind outliers in data science. From detection to resolution, empower…

Dec 25, 2023

From Raw to Refined: A Journey Through Data Preprocessing — Part 5: Outliers

Dec 25, 2023

Shivamshinde
in
Towards AI

From Raw to Refined: A Journey Through Data Preprocessing — Part 4: Data Encoding

Why data encoding is necessary

Dec 20, 2023

From Raw to Refined: A Journey Through Data Preprocessing — Part 4: Data Encoding

Dec 20, 2023

Shivamshinde
in
Towards AI

From Raw to Refined: A Journey Through Data Preprocessing — Part 3: Duplicate Data

This article will explain how to identify duplicate records in the data and, the different ways to deal with the problem of having…

Aug 27, 2023

From Raw to Refined: A Journey Through Data Preprocessing — Part 3: Duplicate Data

Aug 27, 2023

Shivamshinde

Shivamshinde

In the exciting realm of Data Science, I'm sharing the discoveries from my learning adventure. Connect with me at https://www.linkedin.com/in/shivamds92722/

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