Published inJohn Snow LabsUnleashing the Power of High Throughput OCR with Visual NLPNote: throughout the examples in this article the code shown is meant to run on a Jupyer notebook to enable the same visualizations that…Feb 16, 2024Feb 16, 2024
Autonomous Off-Road Vehicle Using Image Segmentation & Nvidia Jetson NanoIn this article, I will demonstrate how to create a self-driving car using Image Segmentation, OpenCV for navigation control in an…Apr 10, 2021Apr 10, 2021
Getting Started with Raspberry Pi + Installation Guide for Tensorflow 2.3.1 and OpenCV 4.5.1What is a Raspberry Pi?Feb 18, 2021Feb 18, 2021
Published inAnalytics VidhyaInstall TensorFlow-GPU + CUDA in Windows 10, with easy to follow instructions.Installing CUDA and TensorFlow-GPU can be a very challenging task, in this article I will show to install it in a few simple steps.Aug 8, 20204Aug 8, 20204
Published inAnalytics VidhyaUnderstanding the KNN-AlgorithmKNN is a supervised learning algorithm used for both regression and classification problems. Mostly used for Classification though. KNN…May 4, 2020May 4, 2020
Published inAnalytics VidhyaClean Data Science workflow with Sklearn PipelinePipelines are a container of steps, they are used to package workflow and fit a model into a single object. Pipelines are stacked on top…Apr 30, 2020Apr 30, 2020
LightGBM Binary Classification, Multi-Class Classification, Regression using PythonLightGBM is a gradient boosting framework that uses tree-based learning algorithms. It is designed to be distributed and efficient as…Apr 22, 20203Apr 22, 20203
Linear Regression with Gradient Descent Maths, Implementation and Example Using Scikit-LearnWe all know the famous Linear Regression algorithm, it is probably the oldest known algorithm in the world used in statistics and other…Apr 20, 20201Apr 20, 20201
Published inAnalytics VidhyaSimple and Multiple Linear Regression Maths, Calculating Intercept, coefficients and…Linear Regression is one of the oldest methods in the field of probability/statistics. It works by fitting the best fit line between…Apr 8, 2020Apr 8, 2020
Outlier Detection and Treatment Part 1In this article, I will demonstrate how to detect and remove outliers from your dataset. What is an outlier? In statistics, an outlier is…Mar 9, 2020Mar 9, 2020
