Curated Video
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...
Curated Video
Extending the Empirical Rule: Finding Percentages within a Normal Distribution
In this video, the teacher explains how to use the empirical rule to find the percentage of data that falls within a certain interval in a normal distribution. The teacher provides examples and tips on how to apply this rule effectively.
Curated Video
PMI-RMP Certification Training - Probability Distribution
This video explains probability distribution. This clip is from the chapter "Perform Quantitative Risk Analysis" of the series "PMI-RMP® Certification Training".This section explains performing quantitative risk analysis.
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Weight Initialization
This video explains about weight initialization. This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of the deep...
Curated Video
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.
Curated Video
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
Probability Statistics - The Foundations of Machine Learning - Continuous Distributions Code
In this video, we will cover continuous distributions code. This clip is from the chapter "Random Variables - Rationale and Applications" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we...
Curated Video
Data Analytics using Python Visualizations - Plotting Histograms and Box Plots
This video explains plotting histograms and box plots. This clip is from the chapter "Matplotlib and Seaborn – Libraries and Techniques" of the series "Data Analytics Using Python Visualizations".This section introduces you to...
Curated Video
Machine Learning Random Forest with Python from Scratch - Using NumPy for Random Forest
In this lesson, you will learn about the NumPy tool available in the Python library and look at the advantages of using NumPy. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with...
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...
Curated Video
Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - RAND Function (Producing a Sample with Distribution of Your Choice)
The author will show you how to use the rand function. This function allows you to produce a sample (random numbers) with a distribution of your choice. This clip is from the chapter "SAS Functions" of the series "Complete SAS...
Curated Video
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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: Weight Initialization
In this video, we will cover weight initialization.
Curated Video
Probability Statistics - The Foundations of Machine Learning - Continuous Distributions with the Help of an Example
In this video, we will cover continuous distributions - probability densities. This clip is from the chapter "Random Variables - Rationale and Applications" of the series "Probability / Statistics - The Foundations of Machine...
Packt
Fundamentals of Neural Networks - Lab 1 - Introduction to Convolutional 1-Dimensional
This video demonstrates convolutional operations in 1-dimension. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks where you...
Curated Video
Fundamentals of Machine Learning - ROCAUC
In this final lab, you will learn about ROC-AUC (Receiver Operating Characteristic Curve-Area Under Curve). This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Optional Estimation: Ridge Regression
In this video, we will cover ridge regression.
Curated Video
Determining Normal Distribution Using the Empirical Rule
In this video, the teacher explains how to determine if a distribution is normally distributed by applying the empirical rule. The video covers the conditions that must be checked. Examples are provided to illustrate the application of...
Brian McLogan
Learn how to create a box and whisker plot for a set of data
👉 Learn how to find the mean, the median, and the mode of a set of data. The (arithmetic) mean of a set of data is the average of the set of data and is obtained by adding up the numbers in the set of data and dividing it by the count of...
Curated Video
Solving Quadratic Equations using the Quadratic Formula
In this video, the teacher explains how to solve quadratic equations using the quadratic formula. They highlight common mistakes to avoid, such as squaring negative numbers and correctly identifying the coefficients.
Brian McLogan
Learning to find the probability using normal distribution
👉 Learn how to find probability from a normal distribution curve. A set of data are said to be normally distributed if the set of data is symmetrical about the mean. The shape of a normal distribution curve is bell-shaped. The normal...
XKA Digital
If you work with your team they will work with you
Clare Gerada was elected to lead the Royal College of General Practitioners in 2011, and represented over 40,000 doctors. She was the first female Chair in fifty years. She trained in psychiatry and maintains an interest in the treatment...
Brian McLogan
Learning how to find the variance and standard deviation from a set of data
👉 Learn how to find the variance and standard deviation of a set of data. The variance of a set of data is a measure of spread/variation which measures how far a set of numbers is spread out from their average value. The standard...
Curated Video
Statistics for Data Science and Business Analysis - What is a Distribution?
This video explains what a distribution is, what types of distributions are there, and how this helps us better understand statistics.
This clip is from the chapter "Inferential Statistics Fundamentals" of the series "Statistics for...