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Data Science and Machine Learning (Theory and Projects) A to Z - Probability Model: Probability Models Continuous
In this video, we will cover probability models continuous. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A...
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Data Science and Machine Learning (Theory and Projects) A to Z - Probability Model: Probability Axioms Derivations Solution 01
In this video, we will cover probability axioms derivations solution 01. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Probability Model: Probability Axioms Derivations
In this video, we will cover probability axioms derivations. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Probability Model: Probability Axioms
In this video, we will cover probability axioms. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Probability Model: Conditional Probability Formula
In this video, we will cover conditional probability formula. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects)...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Probability Model: Conditional Probability Example
In this video, we will cover conditional probability example. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects)...
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Describing the Intersection of Two Events
In this video, the teacher explains how to describe the intersection of two events. The examples used include rolling a die and surveying students' activities. The teacher emphasizes that the intersection of events consists of outcomes...
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Describe an Event as a Subset of a Sample Space Using Tables and Diagrams
In this lesson, students learn how to describe events as subsets of a sample space using tables and tree diagrams. They explore the concept of sample space, which is the set of all possible outcomes for an event, and learn to express...
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Basic Probability Questions and Solutions
In this video, a teacher explains how to solve basic probability questions using real-life examples. The video covers topics such as empirical probability, drawing cards, and tossing coins, and provides step-by-step solutions to each...
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Describing Events as Subsets of a Sample Space
In this video, the teacher explains how to describe events as subsets of a sample space using characteristics of the outcomes. The teacher demonstrates how to create an organized list and a two-way table to represent the outcomes. They...
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Conditional Probability
It introduces the concept of conditional probability. Further it elaborates the concept and explains it with the help of examples.
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Predictive Analytics with TensorFlow 2.2: Basic Probability for Predictive Modeling
In this video, we will see probability and random variables. We will then generate random numbers and set the seed. We will also look at probability distribution and chain rule of conditional probability. This video has a small...
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Describing Sample Spaces and Probability
This video explains the concept of sample space and how to organize all possible outcomes using examples such as gender outcomes and playing Rock, Paper, Scissors. It also introduces the fundamental counting principle and discusses the...
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Comparing Theoretical and Empirical Results
In this video, the concept of probability is explained using the example of flipping a coin. Theoretical and empirical probability are discussed and compared. The video emphasizes the importance of comparing theoretical and empirical...
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Random Variables and its Probability Distributions
It defines and explains random variable and its probability distributions. Further it elaborates the concept of mean, variance and standard deviation of a random variable.
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Understanding Probability: Assigning Equal Probability to All Outcomes
In this video, the teacher explains how to determine the sample space for rolling a six-sided die and how to assign equal probabilities to each outcome. The concept of the probability continuum is introduced, highlighting the range of...
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MATHS - Statistics - Probability Part 1
Probability is a ratio between the number of “successful” outcomes and the number of all outcomes
Curated Video
Using Sample Spaces to Find Compound Probability
This video lesson teaches how to use sample spaces to find compound probability. The teacher uses examples such as rolling two dice, flipping coins, and different modes of transportation to school to demonstrate how to create sample...
Curated Video
Introduction to Conditional Probability
In this video, the concept of conditional probability is explained through various examples. The teacher uses scenarios involving dice rolls, family dynamics, and spinner outcomes to demonstrate how the probability of an event can change...
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Finding the Probability of Compound Events Using Tables
In this video, the teacher explains how to find the probability of compound events by creating a table. They use examples of tossing a coin and rolling two dice to demonstrate different methods of listing possible outcomes. The focus is...
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Finding the Probability of Events with Multiple Possibilities
In this video, the teacher explains how to find the probability of events with multiple possibilities by combining their probabilities. They use examples such as pulling marbles from a bag and rolling a die to illustrate the concept of...
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Designing Simulations Using Random Number Generators
In this video, the teacher explains how to conduct a simulation to model the results of shots on goal in a soccer game. The simulation uses a random number generator and assigns certain numbers or outcomes to represent saving or missing...
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Understanding the Law of Large Numbers through Coin Flips
In this video, the concept of the law of large numbers is explained, which states that as the sample size increases, the experimental probability will approach the theoretical probability. The video uses the example of flipping a coin to...
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Organizing Sample Space Information
In this video, the teacher explains how to organize randomly sampled survey information using tools such as Venn diagrams and tables. They demonstrate how to represent sample spaces, events, and subsets within the data, and provide...