Basics of Generative AIGenerative AI has become widely discussed topic now-a-days primarily due to the release of ChatGPT. It is fascinating to witness the…May 1, 20231May 1, 20231
AWS Sagemaker demonstration for machine learning model deploymentNowadays, every company is reliant on cloud infrastructures. Therefore, it becomes essential for a data scientist to move into that domain…Jul 25, 2021Jul 25, 2021
Data Science and Blockchain: A Bright future aheadRecently, blockchain has attracted a lot of attention from Data Scientists. There are chances that it will either become a partner just…May 11, 2021May 11, 2021
Tensorflow: Multiple Linear Regression model from scratch with calculations explainedFor a beginner, given the pool of resources available over internet, it becomes very difficult to understand even the basics of Tensorflow…Apr 11, 2021Apr 11, 2021
Is Google BigBird gonna be the new leader in NLP domain?In 2018, Google released a big fish in the market termed as BERT(Bidirectional Encoder Representations from Transformers). It brought…Sep 12, 20202Sep 12, 20202
SVM(Part-1): Prerequisites — vectors, linear separability and hyperplaneI am starting with a new series of posts data science enthusiasts who are struggling to understand Support Vector Machines(SVMs). This…Jan 7, 2020Jan 7, 2020
Selecting optimal number of clusters in KMeans Algorithm(Silhouette Score)KMeans is a unsupervised machine learning technique primarily used for the clubbing similar instances together. In case of supervised…Aug 17, 20192Aug 17, 20192
Statistics: How Should I interpret results of OLS?Linear regression is a simple but powerful tool to analyze relationship between a set of independent and dependent variables. But, often…Aug 15, 20192Aug 15, 20192
