APMonitor
Polymer MFR Regression
Polymer properties such as density, melt index, and melt flow rate must be kept within tight specifications for each grade. This case study is to analyze polymer production data to predict melt flow rate. 0:00 Introduction to Polymer...
APMonitor
Physics-Informed Neural Network
Physics-based information is integrated into the Neural Network architecture with the use of constraints or other relationships such as periodic cycles. Empirical regression has limitations, especially when predictions are requested...
Curated Video
Predictive Analytics with TensorFlow 4.1: Supervised Learning for Predictive Analytics
In this video, we will see a type of machine learning process that is supervised learning. We will also see linear regression. We will use it for movie rating prediction. • See the spam filtering example • Use linear regression for movie...
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...
Curated Video
Discuss the importance of data : Advantages and Disadvantages of Decision Trees
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:...
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...
R Programming 101
Linear regression using R programming
Simple linear regression models using R programming doesn't need to be scary. This video will take you through the basics of how to interpret linear regression results and the code needed to do the regression models. If you are learning...
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....
Curated Video
Data Science and Machine Learning with R - Linear Regression: A Simple Model Introduction
This video explains a simple linear regression model. This clip is from the chapter "Linear Regression: A Simple Model" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section explains...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Logistic Regression
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....
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Logistic 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....
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...
Curated Video
Data Science and Machine Learning with R - Linear Regression in R - Real Model
This video explains linear regression in R. This clip is from the chapter "Linear Regression - a Real Model" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section explains a real model...
Curated Video
Evaluate a machine learning model : Evaluate Model Performance
From the section: Regression. In this section, you are going to learn about Regression. Regression: Evaluate Model Performance
APMonitor
Regression with MATLAB fmincon
A frequent activity in data science and machine learning is to develop correlations from data. By importing the data into MATLAB, data analysis such as statistics, trending, or calculations can be made to synthesize the information into...
Curated Video
Data Science and Machine Learning with R - Introduction to Machine Learning Part Two
This video explains the different approaches in machine learning. This clip is from the chapter "Introduction to Machine Learning" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section...
Curated Video
Data Science and Machine Learning with R - Introduction to Logistic Regression
This video introduces you to logistic regression. This clip is from the chapter "Logistic Regression" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section explains logistic regression.
Curated Video
Data Science and Machine Learning with R - Linear Regression - Real Model Section Introduction
This video explains linear regression – a real model. This clip is from the chapter "Linear Regression - a Real Model" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section explains a...
Global Health with Greg Martin
R programming for beginners – statistic with R (t-test and linear regression) and dplyr and ggplot
In this video I provide a tutorial on some statistical analysis (specifically using the t-test and linear regression). I also demonstrate how to use dplyr and ggplot to do data manipulation and data visualisation. Its R programming for...
APMonitor
Data Science 🐍 Regression
Regression is the process of adjusting model parameters to fit a prediction to measured values. There are independent variables as inputs to the model to generate the predictions. For machine learning, the objective is to minimize a loss...
Catalyst University
Non-linear Regression Analysis in Microsoft Excel
Non-linear Regression Analysis in Microsoft Excel
Curated Video
Data Science Tutorial: How Does Outbreak Prediction Work?
This video tutorial discusses outbreak prediction using AI and data science, focusing on the current COVID-19 pandemic. The tutorial covers topics such as exponential growth models, the SIR model, and the importance of flattening the...
APMonitor
Linear and Polynomial Regression in MATLAB
Data regression is an empirical method to develop correlations. This tutorial demonstrates how to use MATLAB to fit a line and polynomial functions along with plotting the results and performing a basic statistical analysis.
Fun Robotics
Salary Prediction Model
Training a regression model to predict candidates' salaries using a linear regression algorithm.