Human Crowd Detection with public Webcam Part 4 – Data Annotation

How to Train YOLOv5 on Custom Objects? This tutorial is based on the YOLOv5 repository with Google Collab. This notebook shows training on your own custom objects with Data Annotation Tools at Roboflow. Steps Covered in this Tutorial In this tutorial, we will walk through the steps required to train YOLOv5 on your custom objects. […]

Human Crowd Detection With Public Webcam Part 3

Introduction To YOLO — You Only Look Once All of the previous object detection algorithms use regions to localize the object within the image. The network does not look at the complete image. Instead: Notes: Total detections to be done per image=S X S((B*5)+C) – What is the Confidence threshold? The threshold for minimum confidence […]

Human Crowd Detection with public Webcam|Part 1

Introduction Human crowd detection is one of the widely used features by governments and organizations these days, to control crimes or to detect if there are cases of fainting or to identify any movement around premises. The proposed system was implemented using OpenCV and YoloV5 with python to detect a person’s movements. To implement this […]

DNA Sequencing with Machine Learning

Introduction What if, a small sample of each baby’s saliva was sent out to a lab, where—for just a few dollars—the baby’s DNA was analyzed and a multitude of “risk scores” returned? These would not be diagnoses but instead, prognostication: This baby is at elevated risk for developing heart disease in 40 years, Is more […]

Ensemble Learning | Machine Learning | Data Science

English Tutorial Arabic Tutorial Transscript In some complex problems in data science, we find that the performance of our machine learning algorithm is very poor even after spending some time understanding the problem and performing some feature engineering. At that point, we realize that combining several machine learning algorithms may come to the rescue! Ensemble […]

Linear Regression in Simple Words | Data Science

As this introductory slide depicts, linear regression is a way to explain the relationship between a dependent variable and one or more explanatory variables using a straight line. It is a special case of regression analysis. … Linear regression can be used to fit a predictive model to a set of observed values (data points). […]

So Which Machine Learning Algorithm to use?

A lot of data science practitioners found the process of selecting a machine learning algorithm overwhelming and confusing. That’s because there are a bunch of algorithms that can do the same task. For example, classification can be done using a Decision Tree, SVM, Logistic Regression, Naive Bayes, KNN, and Neural Network.  Now, which one should […]

Data Science Roadmap .. Concepts, Tools, and Technologies

In this article, we will depict some skills and concepts that must be learned in the journey of becoming a data scientist but first, what is data science?  Data Science is the art of uncovering the insights and trends in data. It has been around since ancient times. The ancient Egyptians used census data to […]