In this video, you will learn how to explore data types in code.
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This clip is from the chapter "Diving in with Code" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we will...

This video explains univariate analysis.
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This clip is from the chapter "SAS Model – Predictive Modeling, Understanding the Problem and the Data" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data...

This video analyzes of Portia of Shakespeare's The Merchant of Venice and establishes the characters, themes, and symbols that will carry through the entire the play.

In this video, you will learn how to convert String data to a category and discretize a continuous variable and convert it into a categorical feature.
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This clip is from the chapter "Data Preprocessing" of the series "Pandas...

This video explains K-Means - data preparation and modelling.
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This clip is from the chapter "Unsupervised Learning - K-Means Clustering" of the series "Practical Data Science Using Python".This section explains unsupervised...

This video explains training the model.<br<br/>/>

This clip is from the chapter "Flavor Predictor" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on the flavor predictor.

This video helps you understand how to perform an inner join.
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This clip is from the chapter "SAS SQL and Joining" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data Ninja".This section focuses on SAS...

There are ways to test or evaluate what kind of missing patterns to ensure you build a great SAS model.
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This clip is from the chapter "SAS Predictive Modeling, Prepare the Input Variables" of the series "Complete SAS...

This video will help you understand how to perform a chi-square independent groups analysis using SAS.
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This clip is from the chapter "Statistical Analysis" of the series "Complete SAS Programming Guide - Learn SAS and Become...

This video talks about categorical inputs.
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This clip is from the chapter "SAS Predictive Modeling, Prepare the Input Variables" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data Ninja".This section...

This video explains how to work on a conditional column on two different columns.
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This clip is from the chapter "Introduction to Conditional Column and Column from Examples" of the series "Business Intelligence with Microsoft...

In this video, we will cover Seaborn Catplot.
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This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory and...

A report published in January showed that parents of teenagers were either in denial or unaware of what their children watched online. With porn being more accessible than ever, the Guardian journalist Iman Amrani asks men how and why...

Two filmmakers spent almost a decade reporting the greatest taboo subject in Kurdish society: female genital mutilation. Nabaz Ahmed and Shara Amin persuaded people to talk about the effects of FGM and the film they made helped get the...

Over the past few weeks the Guardian journalist Iman Amrani has been back with series two of Modern Masculinity, looking at key themes and questions around masculinity today. So far the series has looked at the UFC's popularity with men,...

Is modern masculinity in crisis? As part of a new series for the Guardian, journalist Iman Amrani is speaking to men across the country about the issues that are affecting men and boys in today's society. In this episode Iman asks, away...

Five non-binary people discuss their experience of life outside the simple gender binary of male and female. They tell us about the difficulty that society has with their resistance to its attempts to compartmentalise and define people

In this video, you will learn how to work with label encoding using scikit-learn
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This clip is from the chapter "Implementation of ANN in Python" of the series "Python for Deep Learning — Build Neural Networks in Python".In...

This video explains the vars( ) function.<br<br/>/>

This clip is from the chapter "All Built-In Functions" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on all built-in functions.

This video explains preparing the data.<br<br/>/>

This clip is from the chapter "Flavor Predictor" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on the flavor predictor.

This video explains the input( ) function.<br<br/>/>

This clip is from the chapter "All Built-In Functions" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on all built-in functions.

This video explains the globals( ) function.<br<br/>/>

This clip is from the chapter "All Built-In Functions" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on all built-in functions.

This video helps in asking the model to make predictions.<br<br/>/>

This clip is from the chapter "Flavor Predictor" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on the flavor predictor.

This video focuses on subset selection.
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This clip is from the chapter "SAS Predictive Modeling, Prepare the Input Variables" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data Ninja".This section...