Instructional Video3:17
Curated Video

Create a machine learning model of a real-life process or object : Setting Up TensorFlow 2.0

Higher Ed
From the section: Regression Task Airbnb Prices in New York. We will use a real-world Airbnb dataset that contains data about New York properties for rent in 2019 on Airbnb, including their price. It is a simple dataset and makes a good...
Instructional Video5:30
Curated Video

Creating a Box Plot: Representing Data on a Number Line

K - 5th
In this video, we learn how to create a box plot to represent data on a number line. Understand the concept of quartiles and explore how to find the minimum, maximum, and quartiles of a data set. By the end of the lesson, students will...
Instructional Video11:19
msvgo

Median of Grouped Data

K - 12th
It explains how to compute the median of continuous frequency distribution and conversion of "less than" type and "more than" type data into cumulative frequency distribution.
Instructional Video10:06
Curated Video

Power BI Masterclass - Client Request - Filter Trick for Different Aggregations in Power BI

Higher Ed
In this video, we will cover the filter trick for different aggregations in Power BI. This clip is from the chapter "Additional Tips and Tricks" of the series "Power BI Masterclass".In this section, we will be covering some additional...
Instructional Video10:14
Curated Video

Comprehensive Android Developer Bootcamp - Android ROOM - Introduction

Higher Ed
Android Room – Alternative Database:Android ROOM - Introduction This clip is from the chapter "Android Room – Alternative Database" of the series "The Comprehensive Android Developer Bootcamp".This section will show you how to use the...
Instructional Video5:25
Curated Video

Alteryx for Beginners - Union Tool

Higher Ed
This video explains how to use the Union tool in Alteryx. This clip is from the chapter "Join Tab" of the series "Alteryx for Beginners".This section explores the Join tab.
Instructional Video7:10
Curated Video

PySpark and AWS: Master Big Data with PySpark and AWS - Finding Average-2

Higher Ed
Let's continue calculating the average movie ratings from the dataset in this session as well. This clip is from the chapter "Spark RDDs" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section focuses on...
Instructional Video3:10
Curated Video

PySpark and AWS: Master Big Data with PySpark and AWS - Expected Results

Higher Ed
Let's discuss the expected results from the collaborative filtering in this session. This clip is from the chapter "Collaborative Filtering" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section primarily...
Instructional Video2:35
Curated Video

PySpark and AWS: Master Big Data with PySpark and AWS - Data Set

Higher Ed
In this lesson, we will start working on the ETL pipeline. Let's get the dataset ready. This clip is from the chapter "ETL Pipeline" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section covers Extract...
Instructional Video5:57
Curated Video

PySpark and AWS: Master Big Data with PySpark and AWS - ALS Model

Higher Ed
In this video, you will learn about ALS model. This clip is from the chapter "Collaborative Filtering" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section primarily focuses on collaborative filtering and...
Instructional Video2:27
Curated Video

I WONDER - What Is Mean, Median And Mode?

Pre-K - 5th
This video is answering the question of what is mean, median and mode.
Instructional Video28:58
TMW Media

Mean & Standard Deviation of the Binomial Distribution

K - 5th
This program covers the important topic of the Mean and Standard Deviation of the Binomial Distribution in Probability and Statistics. We begin by discussing the Binomial Distribution and its mean. Next, we solve several problems that...
Instructional Video3:45
Curated Video

Quartiles and Interquartile Range

3rd - 5th
Find the minimum, maximum, quartiles, and Interquartile range for a data set.
Instructional Video3:30
Curated Video

Calculating and Understanding the Mean

3rd - 5th
Understand and Calculate the mean of a data set.
Instructional Video3:21
Curated Video

Box Plots

3rd - 5th
Create box plots.
Instructional Video10:54
Curated Video

pandas for Python - A Quick Guide - Processing-Date/Time Format

Higher Ed
Here, we will understand how to process and manipulate date/time data values. We will learn the most common and practical methods to manipulate and analyze date/time data. This clip is from the chapter "Data Processing" of the series...
Instructional Video9:38
Curated Video

Probability Statistics - The Foundations of Machine Learning - Dispersion and Spread in Data, Variance, Standard Deviation

Higher Ed
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,...
Instructional Video2:09
Curated Video

Azure Data Factory for Beginners - Build Data Ingestion - Requirements Discussion and Technical Architecture

Higher Ed
This video talks about the requirements discussion and technical architecture. This clip is from the chapter "Introduction - Build Your First Azure Data Pipeline" of the series "Azure Data Factory for Beginners - Build Data...
Instructional Video7:10
Curated Video

Azure Data Factory for Beginners - Build Data Ingestion - Reconfigure Existing Data Factory Artifacts

Higher Ed
This video helps you reconfigure existing Data Factory artifacts. This clip is from the chapter "Metadata-Driven Ingestion" of the series "Azure Data Factory for Beginners - Build Data Ingestion".Introduction to Metadata-Driven Ingestion
Instructional Video13:08
Curated Video

Machine Learning Random Forest with Python from Scratch - Labels and Features

Higher Ed
In this lesson, we will look at a target or label as output data and feature, a measurable property or characteristic of an element. This clip is from the chapter "Introduction to Machine Learning" of the series "Machine Learning: Random...
Instructional Video5:14
Curated Video

Machine Learning Random Forest with Python from Scratch - Concluding remarks

Higher Ed
In this video, we will look at the concluding remarks of the course and recap what we learned through the course, briefly. This clip is from the chapter "Conclusion" of the series "Machine Learning: Random Forest with Python from...
Instructional Video3:58
Curated Video

Reinforcement Learning and Deep RL Python Theory and Projects - DNN Learning Rate

Higher Ed
This video talks about the learning rate. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the DNN foundation for deep RL.
Instructional Video1:48
Curated Video

Python for Deep Learning - Build Neural Networks in Python - Loading the Dataset

Higher Ed
In this video, you will learn how to load the dataset. This clip is from the chapter "Implementation of ANN in Python" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, you will learn how to...
Instructional Video11:43
Global Health with Greg Martin

Data Visualisation

Higher Ed
In this video, the speaker discusses the importance of data visualization in telling a compelling story with data. They showcase various graphics and techniques to effectively communicate insights from different types of data sets. From...