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Regression Features and Labels - Practical Machine Learning Tutorial with Python p.3

638,068 views

Video Language:

  • English

Caption Language:

  • {{captionLanguage | language_name}} ({{captionLanguage}})

Accent:

  • English (US)

Speech Time:

97%
  • 10:03 / 10:17

Speech Rate:

  • 181 wpm - Fast

Category:

  • Education

Intro:

Video Vocabulary

welcome - welcome

/ˈwelkəm/

adjective exclamation noun verb

Being what was wanted or needed. used to greet someone in polite or friendly way. instance or manner of greeting someone. To greet someone who has just arrived.

/prəˈdikt/

verb

To guess or estimate what will or might happen.

/ˈpäsəb(ə)l/

adjective noun

Being able or appropriate for a task or purpose. candidate for job.

/bəˈɡiniNG/

adjective noun verb

new or inexperienced. point at which something begins. To do the first part of an action; to start.

/trānd/

adjective verb

having been taught particular skill or type of behaviour. To practice to get better at a thing, e.g. sports.

/ˈpäsəblē/

adverb

May be true or likely, but is uncertain.

/ˈfēCHər/

adjective noun verb

Main; important. distinctive attribute or aspect. have as prominent attribute or aspect.

/inˈkredəblē/

adverb

To a great degree; very; amazingly.

/dəˈsīdəd/

adjective verb

definite. To make a choice about; choose after thinking.

/ˈevrēˌbädē/

pronoun

every person.

/ˈalɡəˌriT͟Həm/

noun

process or set of rules to be followed in calculations or other problem-solving operations.

/ˈak(t)SH(o͞o)əlē/

adverb

Used to add new (often different) information.

/ˈTHiNGkiNG/

adjective noun verb

using thought or rational judgement. process of considering or reasoning about something. To have an idea, opinion or belief about something.

/rəˈɡreSH(ə)n/

noun

Going back in time or development.

/pərˈsent/

adverb noun

by specified amount in or for every hundred. one part in every hundred.

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