Curated Video
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.
Curated Video
Variance and Standard Deviation
A video entitled “Variance and Standard Deviation” which describes ways that variance and standard deviation are used as measures in the real world.
Packt
Statistics for Data Science and Business Analysis - Calculating Confidence Intervals Within a Population with an Unknown Variance
This video is about calculating confidence intervals within a population with an unknown variance. This clip is from the chapter "Confidence Intervals" of the series "Statistics for Data Science and Business Analysis".This section...
Packt
Probability Statistics - The Foundations of Machine Learning - Dispersion and Spread in Data, Variance, Standard Deviation
In this video, we will cover dispersion and spread in data, variance, standard deviation. This clip is from the chapter "Measures of Spread" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section,...
Packt
R Programming for Statistics and Data Science - Test for the Mean - Population Variance Known
This video explains test for the mean - population variance known. This clip is from the chapter "Hypothesis Testing" of the series "R Programming for Statistics and Data Science".This section explains hypothesis testing.
Packt
Practical Data Science using Python - Random Variables and Normal Distribution
This video explains random variables and normal distribution. This clip is from the chapter "Statistical Techniques" of the series "Practical Data Science Using Python".This section explains advanced visualizations using business...
Packt
R Programming for Statistics and Data Science - Test for the Mean - Population Variance Unknown
This video explains test for the mean - population variance unknown. This clip is from the chapter "Hypothesis Testing" of the series "R Programming for Statistics and Data Science".This section explains hypothesis testing.
Packt
Probability Statistics - The Foundations of Machine Learning - Dependence and Variance of Two Random Variables
In this video, we will cover the dependence and variance of two random variables. This clip is from the chapter "Visualization in Intuition Building" of the series "Probability / Statistics - The Foundations of Machine Learning".In this...
Curated Video
Randomness - Crash Course Statistics
There are a lot of events in life that we just can’t predict, but just because something is random doesn’t mean we don’t know or can’t learn anything about it. Today, we’re going to talk about how we can extract information from...
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Statistics for Data Science and Business Analysis - Calculating Confidence Intervals Within a Population with a Known Variance
In this video, you will see the first example of the use of confidence intervals and introduce the concept of the z-score. This clip is from the chapter "Confidence Intervals" of the series "Statistics for Data Science and Business...
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Statistics for Data Science and Business Analysis - Understanding the central limit theorem
This video is about the central limit theorem - one of the most important statistical concepts. This clip is from the chapter "Inferential Statistics Fundamentals" of the series "Statistics for Data Science and Business Analysis".This...
Packt
Practical Data Science using Python - Linear Regression Data Preparation and Analysis 2
This video explains how to plot the distribution of various values of engine types. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
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Practical Data Science using Python - EDA Project - 2
This video explains data distribution. This clip is from the chapter "Exploratory Data Analysis (EDA)" of the series "Practical Data Science Using Python".This section explains Exploratory Data Analysis.
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Practical Data Science using Python - Linear Regression OLS Assumptions and Testing
This video explains linear regression OLS assumptions and testing. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
Packt
Practical Data Science using Python - Histograms and Normal Approximation
This video explains histograms and normal approximation. This clip is from the chapter "Statistical Techniques" of the series "Practical Data Science Using Python".This section explains advanced visualizations using business applications.
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Data Science and Machine Learning (Theory and Projects) A to Z - Project Bayes Classifier: Project Bayes Classifier from Scratch
In this video, we will cover project Bayes Classifier from scratch. 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...
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Statistics for Data Science and Business Analysis - A3. Normality and Homoscedasticity
In this video, the third assumption of OLS, normality and homoscedasticity, are explained. This clip is from the chapter "Assumptions for Linear Regression Analysis" of the series "Statistics for Data Science and Business Analysis".This...
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Data Science and Machine Learning (Theory and Projects) A to Z - Optional Estimation: Ridge Regression
In this video, we will cover ridge regression.
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Data Science and Machine Learning (Theory and Projects) A to Z - Continuous Random Variables: Gaussian Random Variables Solution 01
In this video, we will cover Gaussian random variables 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...
Packt
Fundamentals of Neural Networks - Linear Regression
This video explains statistical machine learning, where you will start with the linear regression model. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...
Packt
Probability Statistics - The Foundations of Machine Learning - Dispersion Exploration Through Code
In this video, we will cover dispersion exploration through code. This clip is from the chapter "Measures of Spread" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we will cover measures...
Packt
Practical Data Science using Python - Central Limit Theorem
This video explains the Central Limit Theorem. This clip is from the chapter "Statistical Techniques" of the series "Practical Data Science Using Python".This section explains advanced visualizations using business applications.
Curated Video
How to Use Math to Get Rich in the Lottery* - Jordan Ellenberg (Wisconsin–Madison)
For seven years, a group of students from MIT exploited a loophole in the Massachusetts State Lottery’s Cash WinFall game to win drawing after drawing, eventually pocketing more that $3 million. How did they do it? How did they get away...
Packt
Practical Data Science using Python - Naive Bayes Probability Computation
This video explains Naive Bayes probability computation. This clip is from the chapter "Naive Bayes Probability Model" of the series "Practical Data Science Using Python".This section explains Naive Bayes probability model – introduction.