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.
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Linear 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
Predictive Analytics with TensorFlow 3.5: Getting Started with Tensorflow – Linear Regression and Beyond
In this example, we will take a closer look at TensorFlow's and TensorBoard's main concepts and try to do some basic operations to get you started. The model we want to implement simulates the linear regression. • Create data into 2D space
Catalyst University
The Dixon Q-test | When to Discard Outliers in Your Data
In this video, I show you how to perform a Dixon Q-test on a data set, and how to interpret the Q-values for discarding a data point.
Catalyst University
Dixon-Q Test [Example #2]
In this video, we do a sample problem for the Dixon-Q test.
Curated Video
Statistics for Data Science and Business Analysis - A4. No Autocorrelation
In this video, the fourth assumption of OLS, no autocorrelation, is explained. This clip is from the chapter "Assumptions for Linear Regression Analysis" of the series "Statistics for Data Science and Business Analysis".This section...