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. Through a series of milestones, this roadmap will serve as a step-by-step guide throughout your data science learning journey. To be a data scientist, you need a mix of […]
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. Regardless of the data role that you are applying for: data analyst, data scientist, or data engineer, proficiency in SQL is mandatory. The prerequisites for being good at your data […]
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 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 […]
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). […]
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 […]
For any professional or beginner in the data field, regardless of your specialty or technology you will work on, you will hear about one or more of the following concepts, and we can say it is absolutely important for any data professional to know at least the general concept of any of the following concepts. […]
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 […]
Date and Time are part of almost any dataset data scientist, data engineer, or data analyst will work on, so to know how to handle this kind of data is a crucial skill which will save you a lot of time and effort. In this tutorial, we will discuss various methods in handling dates and […]
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?, […]
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 […]