When a ship sinks, lots of factors, like the ship’s materials, the water quality, and the depth of the seafloor all play a role in determining how long the ship will last down there - as a result, the Titanic will be gone in fifty years,...

In this short talk, Arianna Huffington shares a small idea that can awaken much bigger ones: the power of a good night's sleep. Instead of bragging about our sleep deficits, she urges us to shut our eyes and see the big picture: We can...

Rob Legato creates movie effects so good they (sometimes) trump the real thing. In this warm and funny talk, he shares his vision for enhancing reality on-screen in movies like Apollo 13, Titanic and Hugo.

James Cameron's big-budget (and even bigger-grossing) films create unreal worlds all their own. In this personal talk, he reveals his childhood fascination with the fantastic -- from reading science fiction to deep-sea diving -- and how...

A video on allusions: When a writer refers to something famous—like a person, place, or story—without explaining it.

Step aboard the Titanic and discover the world of its wealthiest passengers. In this video, we explore the opulent first-class accommodations, from grand dining rooms to private promenade decks, and introduce some of the famous names who...

Discover the untold stories of the Titanic’s second and third-class passengers in this captivating video. While first-class luxury often takes the spotlight, the lives of those in the lower decks reveal a powerful narrative of hope,...

Explore the fascinating journey behind the construction of the Titanic. From the drawing board to the shipyard, this video takes you through the engineering marvels, challenges, and innovations that went into building the largest and...

Explore how machine learning can predict who survived the Titanic's sinking in this beginner AI science project

In this video transcript, we learn about icebergs and their significance in history, particularly the infamous iceberg that caused the sinking of the Titanic in 1912. The video highlights the luxurious features of the Titanic, the tragic...

Early in the morning of April 15, 1912, the world's largest ocean liner slipped beneath the icy waves of the North Atlantic, carrying 1,500 people to their graves. For decades, the shipwreck remained hidden - but how did they find the...

The RMS Titanic is disappearing. In 20-30 years, the wreck of RMS Titanic might not exist. The so-called “unsinkable” ship sank in 1912, and now, over a hundred years later, due to iron loving microbes eating the ship.

If the Titanic were to collide with the iceberg – a stationary, mammoth object – most of the energy of the impact would have to be absorbed by the ship, which would have only made matters worse. An abrupt stop would have thrown people...

An iceberg is a humongous rock of ice floating on water, but only a small part of it is visible above the surface of the water. Getting onto an iceberg is more challenging than it seems. Icebergs are massive, so it would be daunting to...

Discover how insurance companies use probability to calculate insurance premiums, and what factors would have been considered when underwriters insured the Titanic. Maths - Statistics And Probability A Twig Math Film. Reinforce and...

Video 5 of the Echolocation Unit. This segment transitions from bats to human technology by explaining how sonar was developed as a form of echolocation to help ships, especially submarines, navigate in the dark depths of the ocean....

Learn about the history of the construction, maiden voyage, and sinking of the Titanic, along with later efforts to discover the wreckage.

In a machine, it understands values in the form of numbers. You will learn how to convert non-numeric data to numeric without changing the feature of the value.
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This clip is from the chapter "Random Forest Step-by-Step" of...

In the second part of the data cleaning process, we will look at an outlier in detail and learn how to correct or remove the outlier.
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This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning:...

Let's look at the first step involved in the data cleaning process, which is filling or removing missing values from a dataset.
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This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning:...

In this continuation lecture, we will focus on completing the assignment that we started on in the last lesson.
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This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with...

This video demonstrates data visualization using the Matplotlib function and explains data cleaning by removing outliers and filling in missing values.
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This clip is from the chapter "Random Forest Step-by-Step" of the series...

Previously, you learned how to read a dataset; now, we will look at manipulating the data and using a sample dataset in our code.
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This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning:...

In this video, we will discuss our final project, which classifies the titanic dataset using Random Forest.
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This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with Python...