Data Science

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 …

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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 ColumnTransformer Pipeline SimpleImputer StandardScalar OneHotEncoder OrdinalEncoder GridSearch The dataset used in this article can be found …

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Detailed Guide for String Wrangling in SQL | MySQL | SQL Analysis

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 …

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Build Data Analysis and Data Discovery Web Application for Data Science projects in few minutes | Data Science | Data Analytics

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?, …

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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 …

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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 …

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