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, 2024115Feb 16, 2024115
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, 20218Apr 10, 20218
Getting Started with Raspberry Pi + Installation Guide for Tensorflow 2.3.1 and OpenCV 4.5.1What is a Raspberry Pi?Feb 18, 202121Feb 18, 202121
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, 2020574Aug 8, 2020574
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, 202010May 4, 202010
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, 20202Apr 30, 20202
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, 20201223Apr 22, 20201223
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, 202031Apr 20, 202031
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, 202011Apr 8, 202011
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, 20202Mar 9, 20202
Missing Value Analysis and Treatment for BeginnersOne of the first steps in data cleaning is to check for missing values. This is because missing data in the training dataset can reduce…Feb 12, 2020Feb 12, 2020
Data Types for ML BeginnersSimple explanation of Data types in Machine LearningFeb 10, 2020Feb 10, 2020
