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, 20231Jul 5, 20231
Ramprabhu SreekrishnanData 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, 2023Jun 20, 2023
Ramprabhu SreekrishnanTransfer 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, 2023May 27, 2023
Ramprabhu SreekrishnanHyperparameter Tuning Of Random Forest AlgorithmRandom Forest is an ensemble learning algorithm that combines multiple decision trees to make predictions. Each decision tree in the forest…May 27, 2023May 27, 2023
Ramprabhu SreekrishnanChart TYPE — SCENARIO — Alternate Chart TypeThese alternative chart suggestions provide additional options that can be used in similar scenarios, allowing for different ways to…May 26, 20231May 26, 20231
Ramprabhu SreekrishnanDemystifying K-fold Cross ValidationIn 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, 2023May 17, 2023
Ramprabhu SreekrishnanHyperparameter Tuning Techniques in Machine LearningMachine learning is the process of creating models that can learn from data and make predictions or decisions. However, not all models are…May 6, 2023May 6, 2023
Ramprabhu SreekrishnanThe 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, 20221Aug 15, 20221
Ramprabhu SreekrishnanCosine similarity in briefCosine Similarity is a Metric that is used to measure how similar the documents are irrespective of their size. In cosine similarity we…Aug 13, 2022Aug 13, 2022