How to become a Kaggle Competitions Grandmaster Paid Members Public
writtencast 001 - Shujun He In this inaugural interview of the writtencast, I am joined by Shujun He. Shujun is a P.hD. student at Texas A&M University and a Kaggle Competitions Grandmaster. To become a Kaggle Competitions Grandmaster you need 5 gold medals and at least one solo
Gradio tutorial (Build machine learning applications) Paid Members Public
You have built your optimally performing machine learning model. What next? This tutorial explores the use of Gradio in building machine learning applications. What is Gradio? Gradio is an open-source Python package that allows you to quickly create easy-to-use, customizable UI components for your ML model, any API, or even
Free data science course Paid Members Public
Join my free data science and machine learning email course with Python. Each day I will share a new lesson and provide code examples and notebooks to help you in your data science journey. The course covers beginner to advanced concepts in data science and machine learning. I will provide
Object detection with Vision Transformer for Open-World Localization(OWL-ViT) Paid Members Public
Convolutional neural networks have been the primary networks applied in objection detection. Recently, Transformers have gained popularity in natural language processing and computer vision. In this article, we explore the use of the OWL-ViT in object detection. Let’s get started. What is a Vision Transformer? Transformers have been widely
Logistic regression in Python with Scikit-learn Paid Members Public
In linear regression, we tried to understand the relationship between one or more predictor variables and a continuous response variable. This article will explore logistic regression, where the response variable will be discrete or categorical. What is classification? Classification is a supervised machine learning problem of predicting which category or
Transfer learning guide(With examples for text and images in Keras and PyTorch) Paid Members Public
Training computer vision (CV) or natural language processing (NLP) models can be expensive and requires large datasets. If labeling is done manually, the process will take a longer training time and requires expensive hardware. For instance, the Generative Pre-trained Transformer 2 (GPT-2), a benchmark-setting language model created by Open AI
Train ResNet in Flax from scratch(Distributed ResNet training) Paid Members Public
Apart from designing custom CNN architectures, you can use architectures that have already been built. ResNet is one such popular architecture. In most cases, you'll achieve better performance by using such architectures. In this article, you will learn how to perform distributed training of a ResNet model in Flax. Install
Linear regression in Python with Scikit-learn (With examples, code, and notebook) Paid Members Public
Scikit-learn is a handy and robust library with efficient tools for machine learning. It provides a variety of supervised and unsupervised machine learning algorithms. The library is written in Python and is built on Numpy, Pandas, Matplotlib, and Scipy. In this tutorial, we will discuss linear regression with Scikit-learn. What
