I am a technology manager turned data scientist who loves building machine learning models and research on various AI technologies. My vision is to build an AI product that will help identify students who are struggling with mental illness.
I am a technology manager turned data scientist who loves building machine learning models and research on various AI technologies. My vision is to build an AI product that will help identify students who are struggling with mental illness.
In this blog, we will understand everything about FastDS and its features and also push the project files to DagsHub remote.
Understand Python API and various ways to read and perform queries in CSV files with SQL script in DuckDB with this comprehensive guide.
In this article, Create your own Discord Bot with DailoGPT and HuggingFace API in Python and deploy it on Replit server for free
Orchest is a data pipeline ecosystem that does not require DAGs or any third-party integration with an environment that is simple to navigate
DAGsHub is similar to GitHub which assists data scientists and machine learning engineers in sharing the data, models, experiments, and code.
In this project, we are going to train the Resnet-18 model for image classification using FastAI.jl from the ImageNet dataset.
Here we will be Designing a deep learning model that will predict mRNA degradation rates for each base of an RNA molecule with Eterna dataset.
Gradient descent is an optimization algorithm that is used to train machine learning models and is now used in a neural network.
In this article, we will explore a project named Malawi news classification. For the project we will be using SMOTE and SGDClassifier.
This article will introduce you to BERT and Tensor Processing Unit and help you with Training BERT Text Classifier on Tensor Processing Unit
