Curated Video
Modern Web Design with HTML5, CSS3, and JavaScript - Applying Cascading Style Sheets (CSS) to HTML
This video explains how to apply CSS to HTML. This clip is from the chapter "Creating a Three-column Website from Scratch" of the series "Modern Web Design with HTML5, CSS3, and JavaScript".This section explains how to create a...
Curated Video
Modern Web Design with HTML5, CSS3, and JavaScript - Adding Google Fonts to Your Website Using Cascading Style Sheets (CSS)
This video explains how to add Google fonts to your website using CSS. This clip is from the chapter "Mobile-first Responsive Design in Cascading Style Sheets (CSS) and Web Design" of the series "Modern Web Design with HTML5, CSS3, and...
Curated Video
Modern Web Design with HTML5, CSS3, and JavaScript - Adding Color and Font Style
This video demonstrates how to add color and font style. This clip is from the chapter "Creating a Cascading Style Sheets (CSS) Grid Website with Flex Navbar" of the series "Modern Web Design with HTML5, CSS3, and JavaScript".This...
Curated Video
Learn JMeter from Scratch on Live Applications - Performance Testin - Recording and Playback of JMeter Scripts
This video explains how to record and playback JMeter scripts. This clip is from the chapter "Recording JMeter Scripts" of the series "Learn JMeter from Scratch on Live Applications - Performance Testing".This section explains how to...
Curated Video
Modern Web Design with HTML5, CSS3, and JavaScript - Setting a Page Footer
This video demonstrates how to set up a page footer. This clip is from the chapter "Creating a Single-page Website with a Sticky Bottom Navbar" of the series "Modern Web Design with HTML5, CSS3, and JavaScript".This section explains how...
Curated Video
Data Cleaning with Python: Removing Missing Values and Duplicates
In this lesson, we will learn how to use Python to clean a CSV file by removing any missing values or duplicates. Data cleaning is an important step in data preparation for fine-tuning, as duplicates and missing values can negatively...
APMonitor
Curve Fit with Excel and Python
Nonlinear regression with heart rate data is shown in both Microsoft Excel and Python. GEKKO and SciPy curve_fit are used as two alternatives in Python. Heart rate data is available at...
APMonitor
Fit Nonlinear Model to Data with Excel
Microsoft Excel adjusts parameters to minimize the difference between measured and predicted values. This tutorial demonstrates how to calculate the sum of squared errors and minimize error with the Solver add-in. See...
Product Design Online
How to Design with Imported Geometry in Fusion 360
Working with imported CAD geometry can be challenging. Fusion 360 offers a few features to help, including the 'Find Features' command. In this tutorial, learn how to build objects from existing or imported parts, using the offset...
Fun Robotics
Weight Prediction Model
Training and testing a regression model to predict the weight of the fish.
Curated Video
Discuss the importance of data : Classification tree in Python: Preprocessing
From the section: Simple Classification Tree. This section we will expand our knowledge of regression Decision tree to classification trees, we will also learn how to create a classification tree in Python. Simple Classification Tree:...
60 Second Histories
Was the British Empire a good or bad thing?
This video explores the raw materials from around the Empire helped fire the Industrial Revolution, this video takes a look at what was traded and with whom.
APMonitor
Data Science 🐍 Python Course
Python 🐍 Data Science with the TCLab Welcome to this data science course on Python! This course is intended to help you develop data science and machine learning skills in Python. As with the beginning course, this course has video...
Curated Video
Ensemble Machine Learning Techniques 2.5: Ensemble Learning for Regression
In this video, we will use python to write a simple ensemble learning model for Regression. • We will use Jupyter Notebook to execute our code • Use of Height vs weight to demonstrate the ensemble technique • Use different models instead...
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...
Packt
Develop an AI system to solve a real-world problem : Building Artificial Neural Networks
From the section: Predicting Sales with Supervised Learning. In this section, learners will use their first machine learning techniques, including Support Vector Machines and Artificial Neural Networks. These techniques will be applied...
APMonitor
Linear and Polynomial Regression in Python
This brief tutorial demonstrates how to use Numpy and SciPy functions in Python to regress linear or polynomial functions that minimize the least squares difference between measured and predicted values. Source Code:...
Cerebellum
The Judicial Branch Of Government - The Supreme Court Chief Justices
The Supreme Court’s responsibility is to interpret all laws and ensure that they do not conflict with the founding principles of the Constitution. This video discusses the Supreme Court Justices and how they handled the role. The video...
APMonitor
Solve Nonlinear Equations with Python
This tutorial demonstrates how to set up and solve a set of nonlinear equations in Python using the SciPy Optimize package.
APMonitor
Data Science 🐍 Install and Overview
Welcome to the course on data science with Python. This course steps through basic data science and machine learning skills to analyze data and create actionable information. It address major steps of the Cross-Industry Standard Process...
APMonitor
Data Science 🐍 Import / Export
Python has functions for reading, creating, and deleting files. The high-level steps for many data science applications is to import data, analyze data, and export results. A basic function for working with files is open(filename,mode)....
Packt
Importance of Assertions in Automation Testing and How to Use Them
This video discusses the importance of assertions in automation testing, and explains how to use them. This clip is from the chapter "Selenium WebDriver: Techniques to Automate Web Elements" of the series "Selenium WebDriver with Java -...
TLDR News
What Does the UK Actually Manufacture? - Data Dive
It's common to think that the UK doesn't actually manufacture anything these days, and assume that the UK has left manufacturing in the past. However, the stats show that's not true. Manufacturing is growing in the UK and there are some...
APMonitor
Set axis limits with Matplotlib in Python
Setting axis limits, adding a legend, configuring marker size, and other custom configurations are effective ways to improve the readability of a plot in Python.