This article will explore the features and capabilities of some of the most popular open-source R and Python packages for data visualization.
There’s a growing demand for skilled data scientists across industries—from fintech and healthcare to agriculture, the energy sector, and beyond. So if you’re looking to learn data science, the right time is now! This list presents 20 popular platforms you can check out to get started on your data science journey!
In this second part of the data science roadmap, we’ll go over a structured learning path for data analysis and machine learning in Python.
Are you an aspiring data scientist looking for a structured learning path? We’ve put together a complete data science roadmap to help you reach your goals. In this part 1 of the data science roadmap, you’ll find learning paths for Python, SQL, and Math for Data Science.
Are you looking to break into data science? If yes, learning SQL can help you gain foundational data skills, as well as ace technical interviews. We’ve put together this list of useful SQL tutorials that are free to access and cover SQL fundamentals.
Use Case Introduction Now that you’ve seen how data science can be applied in real life, we’ll walk through a step-by-step project on how to predict the likelihood of a stroke using machine learning, we’ll also attach a link to download the code and dataset in case you want to try building the model yourself. […]
Introduction Data science has revolutionized every aspect of our lives. From predicting diseases to finding the best route to your work, the enormous amounts of data generated every day make it almost impossible to just look the other way and not allocate all resources to get the most of it. In 2021, a staggering 79 […]
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 […]
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 […]
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 […]
Our Use Case and Objective In this article, we demonstrate the data discovery process on a COVID-19 dataset, data discovery process is a necessary milestone in any data science project. We will cover the following topics What is Data Science In A Big Data World? Why Become Data Scientist? What are the most Frequently mentioned […]
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 […]
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 […]
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 ColumnTransformer Pipeline SimpleImputer StandardScalar OneHotEncoder OrdinalEncoder GridSearch The dataset used in this article can be found […]
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 […]