Curated Video
R Programming for Statistics and Data Science - Variance, standard deviation, and coefficient of variability
This video explains variance, standard deviation, and coefficient of variability. This clip is from the chapter "Exploratory Data Analysis" of the series "R Programming for Statistics and Data Science".This section explains exploratory...
Curated Video
R Programming for Statistics and Data Science - Introduction to Vectors
This video explains introduction to vectors. This clip is from the chapter "Vectors and Vector Operations" of the series "R Programming for Statistics and Data Science".This section explains vectors and vector operations.
Curated Video
R Programming for Statistics and Data Science - Distributions
This video explains distributions. This clip is from the chapter "Hypothesis Testing" of the series "R Programming for Statistics and Data Science".This section explains hypothesis testing.
Curated Video
R Programming for Statistics and Data Science - Standard Error and Confidence Intervals
This video explains standard error and confidence intervals. This clip is from the chapter "Hypothesis Testing" of the series "R Programming for Statistics and Data Science".This section explains hypothesis testing.
Curated Video
Learn JMeter from Scratch on Live Applications - Performance Testin - Different Type of Listeners and Their Use in Gathering Performance Metrics
This video explains the different Listeners and their use in gathering performance metrics. This clip is from the chapter "How to Put Load and Analyze Performance Metrics?" of the series "Learn JMeter from Scratch on Live Applications -...
Curated Video
Julia for Data Science (Video 20)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine performance...
APMonitor
Classification and Regression: Concrete Strength
This case study is to determine the factors (inputs) that have correlation to the concrete compressive strength (output). 0:00 Introduction 2:35 Download Jupyter Notebook 4:00 Import Machine Learning Packages and Data 7:33 Part 1: Data...
APMonitor
Data Engineering Summary Statistics
Summary statistics give valuable insights as one of the first steps in data engineering after the data is gathered. Statistics help to assess data quality and diversity. Data discovery with statistics is a common first activity and there...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Linear Regression in Action
From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold cross-validation....
APMonitor
Logistic Regression from Scratch
Logistic regression is a machine learning algorithm for classification. In this algorithm, the probabilities describing the possible outcomes of a single trial are modeled using a logistic function. Logistic regression makes a binary...
APMonitor
Data Science 🐍 Statistical Analysis
Once data is read into Python, a first step is to analyze the data with summary statistics. This is especially true if the data set is large. Summary statistics include the count, mean, standard deviation, maximum, minimum, and quartile...
Curated Video
Predictive Analytics with TensorFlow 11.3: Developing a Stock Price Predictive Model
An emerging area for applying is the stock market trading, where a trader acts like a reinforcement agent since buying and selling particular stock changes the state of the trader by generating profit or loss, that is, reward. • Define...
Curated Video
Comparing Treatments Using Resampling: Determining the Effectiveness of New Salt Substitute and Fertilizer
In this video, the teacher explains how researchers can determine if there is a difference between two treatments using a resampling strategy. They use examples of comparing salt substitutes and fertilizers to demonstrate the process. By...
Curated Video
The Complete Excel Guide: Beginners to Advanced - Statistical Functions for Inference
The aim of this video is to explore statistical functions for inference. This clip is from the chapter "Excel 2019 Advanced: Statistical Functions" of the series "The Complete Excel Guide: Beginners to Advanced".In this section, we'll...
APMonitor
Data Visualization in Python
Data visualization and exploration is one of the first steps in machine learning after the data is gathered and statistically summarized. It is used to graphically represent data to qualitatively understand relationships and data...
Curated Video
Finding Percentages in a Normal Distribution Using Z Scores and Tables
In this lesson, you will learn how to use Z scores and statistics tables to find the percentage of a population that falls within a certain interval. This method is particularly useful when dealing with values that are not exactly 1-2 or...
Curated Video
Predicting Population Percentages Using a Graphing Calculator
In this video, students learn how to predict population percentages using a graphing calculator. The lesson focuses on the normal model and its application to data sets. It also covers the use of the empirical rule and explores different...
Curated Video
Estimating Percentages using the Empirical Rule
This video explains how to estimate the percentage of adult American females between 5 feet and 5 feet 10 inches tall using the empirical rule. The empirical rule states that approximately 68% of the data falls within one standard...
Catalyst University
NO BS: Independent t-Test Excel Tutorial
NO BS: Independent t-Test Excel Tutorial
Catalyst University
Excel/Numbers: Program Average and Standard Deviation
Excel/Numbers: Program Average and Standard Deviation
Curated Video
Comparing Data: Measures of Center and Spread
In this video, the teacher explains how to compare two sets of data using measures of center (median and mean) and measures of spread (standard deviation and IQR). The teacher emphasizes the importance of choosing the appropriate...
Brian McLogan
How to find the number of standard deviations that it takes to represent all the 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...