Automated and easy-to-understand script to get the job done. Missing values are a huge problem in machine learning. In a day and age when machine learning can be done directly in the database, one wonders how to perform adequate data preparation with SQL, without other programming languages, such as Python and R. Today we’ll see just how easy it is.
Missing values are a huge problem in machine learning. In a day and age when machine learning can be done directly in the database, one wonders how to perform adequate data preparation with SQL, without other programming languages, such as Python and R. Today we’ll see just how easy it is.
We’ll use Oracle Cloud for the purpose of this article, as it’s free and can be used without any downloads and installations on your machine — through the SQL Developer Web. If you decide to follow along, create a free OLTP database, and go to Service Console — Development — SQL Developer Web.
With regards to the dataset, we’ll use the well-known Titanic dataset for two reasons:
Once you have the dataset downloaded, you can use the Upload Data _functionality of _SQL Developer Web to create the table and upload data:
Change data types using your best judgment and you’re ready to roll!
I don’t want to mess anything up with the source table, called
titanic, so let’s make a copy of it:
CREATE TABLE cp_titanic AS SELECT * FROM titanic;
Let’s just make a quick Select to verify everything is as it should be:
SELECT * FROM cp_titanic;
SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.
Learning is a new fun in the field of Machine Learning and Data Science. In this article, we’ll be discussing 15 machine learning and data science projects.
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Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
Machine Learning Pipelines performs a complete workflow with an ordered sequence of the process involved in a Machine Learning task. The Pipelines can also