Raj Kulkarni (@RajKXVI)

Any metric in Data Science - why should I be bothered?

Metrics in data science provide a way to measure the performance of your models and algorithms. They provide a quantifiable means to understand the effectiveness of your approach, and they can guide you in improving your models. Without metrics, you ...

Feb 10, 2024 · 6 min readrajkulkarni.hashnode.dev

Exploring the Power of Functional APIs using Transfer Learning

Definition given by AI - Functional APIs in deep learning are a way to build neural networks by defining computational graphs of layers and connecting them. It provides a flexible and powerful approach to create complex models with multiple inputs an...

Oct 7, 2023 · 5 min readrajkulkarni.hashnode.dev

Handling a nasty imbalanced dataset

While working with Machine Learning or Deep Learning algorithms, there is a possibility that your model can be biased because the dataset was unchecked for its balanced ratio between the 2 classes. Let me give you a quick example. Here’s a sample cod...

Jul 30, 2023 · 6 min readrajkulkarni.hashnode.dev

Raj Kulkarni

About

Available for

Raj Kulkarni's blogs

Any metric in Data Science - why should I be bothered?

Exploring the Power of Functional APIs using Transfer Learning

Handling a nasty imbalanced dataset

Raj Kulkarni

About

Available for

Raj Kulkarni's blogs

Any metric in Data Science - why should I be bothered?

Exploring the Power of Functional APIs using Transfer Learning

Handling a nasty imbalanced dataset

Raj Kulkarni

About

Available for

Raj Kulkarni's blogs

Any metric in Data Science - why should I be bothered?

Exploring the Power of Functional APIs using Transfer Learning

Handling a nasty imbalanced dataset

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Raj Kulkarni

About

Available for

Raj Kulkarni's blogs

Any metric in Data Science - why should I be bothered?

Exploring the Power of Functional APIs using Transfer Learning

Handling a nasty imbalanced dataset