How to become a Kaggle Competitions Grandmaster 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

Derrick Mwiti
Derrick Mwiti
writtencast

Gradio tutorial (Build machine learning applications) 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

Kamanda Wycliffe
Kamanda Wycliffe
Data Science

Free data science course 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

Derrick Mwiti
Derrick Mwiti

Object detection with Vision Transformer for Open-World Localization(OWL-ViT) 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

Derrick Mwiti
Derrick Mwiti
logistic regression

Logistic regression in Python with Scikit-learn 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

Brian Mutea
Brian Mutea
Data Science

Transfer learning guide(With examples for text and images in Keras and PyTorch) 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

Kamanda Wycliffe
Kamanda Wycliffe
TensorFlow

Train ResNet in Flax from scratch(Distributed ResNet training) 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

Derrick Mwiti
Derrick Mwiti
Flax
scikit-learn linear regression mlnuggets feature image

Linear regression in Python with Scikit-learn (With examples, code, and notebook) 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

Brian Mutea
Brian Mutea
Data Science