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 […]
Deep Learning | Convolutional Neural Network| CNN
Introduction Artificial Intelligence has been witnessing a monumental growth in bridging the gap between the capabilities of humans and machines. Researchers and enthusiasts alike, work on numerous aspects of the field to make amazing things happen. One of many such areas is the domain of Computer Vision. The agenda for this field is to enable […]
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 […]
GPT-3, The model simply knows!
Natural Language Processing ( NLP ) has been one of the most challenging areas in deep learning. This is due to several reasons. First, human language is complicated, even for humans themselves! Consider asking someone about his experience in learning Chinese, for example. Without a doubt, he will tell you that this is difficult. The […]
Scikit-learn Advanced Features | Data Science
Neither Titanic dataset nor sklearn a new thing for any data scientist but there are some important features in scikit-learn that will make any model pre-processing and tuning easier, to be specific this notebook will cover the following concepts The dataset used in this article can be found in Titanic Dataset Before diving into our […]
Detailed Guide for String Wrangling in SQL | MySQL
Extracting information from string columns is almost a repetitive necessity in Data Engineers, Data Scientists, and Business Analysts day to day tasks, and this task can be done using a programming language such as Python, or by SQL depends on your application and on the task required. In this tutorial, we will discover together how […]
Handling Dates and Time in Pandas
Date and Time are part of almost any dataset data scientist, data engineer, or data analyst will work on, so knowing how to handle this kind of data is a crucial skill that will save you a lot of time and effort. In this tutorial, we will discuss various methods of handling dates and times […]
Build Data Analysis and Data Discovery Web Application for Data Science projects
Data preparation and data discovery consume a great amount of time in any data science or data analytics job, one of the solutions is to write a template script that you can use in this phase of your job, but what about adding interactive controls and dynamic controls into your scripting wouldn’t that be great?, […]
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 […]
