Ramprabhu Sreekrishnan

11 Followers

Kubernetes Made Easy

Step-by-Step Guide to Application Deployment

Jul 21

Jul 21

Ramprabhu Sreekrishnan

“Demystifying Transfer Learning”: Leveraging Pretrained Models for Unseen Image Classifications

“Transfer learning” is a powerful technique in deep learning that allows us to leverage pre-trained models trained on large datasets for…

Jul 5, 2023

“Demystifying Transfer Learning”: Leveraging Pretrained Models for Unseen Image Classifications

Jul 5, 2023

Ramprabhu Sreekrishnan

Data Normalization: When and Why Do You Need It for Machine Learning and Deep Learning?

Machine learning and deep learning are both subfields of artificial intelligence that focus on the development of algorithms and…

Jun 20, 2023

Ramprabhu Sreekrishnan

Transfer learning — Implementation on Machine learning and CNN Algorithm.

Transfer learning is a machine learning technique that allows us to leverage knowledge gained from one task to improve the performance of…

May 27, 2023

Transfer learning — Implementation on Machine learning and CNN Algorithm.

May 27, 2023

Ramprabhu Sreekrishnan

Hyperparameter Tuning Of Random Forest Algorithm

Random Forest is an ensemble learning algorithm that combines multiple decision trees to make predictions. Each decision tree in the forest…

May 27, 2023

Hyperparameter Tuning Of Random Forest Algorithm

May 27, 2023

Ramprabhu Sreekrishnan

Chart TYPE — SCENARIO — Alternate Chart Type

These alternative chart suggestions provide additional options that can be used in similar scenarios, allowing for different ways to…

May 26, 2023

Chart TYPE — SCENARIO — Alternate Chart Type

May 26, 2023

Ramprabhu Sreekrishnan

Demystifying K-fold Cross Validation

In the world of machine learning, we often encounter the challenge of evaluating how well a model will perform on new, unseen data. This is…

May 17, 2023

May 17, 2023

Ramprabhu Sreekrishnan

Hyperparameter Tuning Techniques in Machine Learning

Machine learning is the process of creating models that can learn from data and make predictions or decisions. However, not all models are…

May 6, 2023

Hyperparameter Tuning Techniques in Machine Learning

May 6, 2023

Ramprabhu Sreekrishnan

The Myth called “ P-value “

Many people working in the fields of data analysis and data science are confused by the concept of “P-value”. Let’s look at the P-value…

Aug 15, 2022

Ramprabhu Sreekrishnan

Cosine similarity in brief

Cosine Similarity is a Metric that is used to measure how similar the documents are irrespective of their size. In cosine similarity we…

Aug 13, 2022

Aug 13, 2022