KnowMo
Calculating Averages from Frequency Tables
In this educational video, the instructor explains how to calculate the mean, median, and mode from a frequency table. The video walks through an example question of calculating the mean, median, and mode for the number of cars produced...
R Programming 101
Working with factors and categorical variables. Use forcats in R programming to change factor levels
R programming for beginners just got easier. If you're working with categorical variables or factors (as they are called in R) then you'll love the forcats package. Forcats lets you change factor levels in a number of exciting ways. If...
Curated Video
Julia for Data Science (Video 14)
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...
Curated Video
Alteryx for Beginners - Interactive Chart Tool
This video explains how to use the Interactive Chart tool in Alteryx. This clip is from the chapter "Reporting Tab" of the series "Alteryx for Beginners".This section explores the Reporting tab.
Curated Video
Learning R for Data Visualization (Video 23)
R is on the rise and showing itself as a powerful option in many software development domains. At its core, R is a statistical programming language that provides impressive tools for data mining and analysis, creating high-level...
Curated Video
Ensemble Machine Learning Techniques 3.3: Making Predictions on Movie Ratings Using SVM
In this video, we will use Python to implement the Bagging technique using SVM. • We will use Jupyter Notebook to execute our code • Use Movie Rating to perform classification • Implement Bagging in python for classification
Curated Video
Data Science and Machine Learning with R - Data Preprocessing
This video explains some of the practical ways of data preprocessing. This clip is from the chapter "Data Preprocessing" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section explains...
NASA
Gravity Assist: Listening to the Universe, with Kim Arcand
NASA spacecraft deliver stunning visual imagery of the cosmos, but we can also experience that data by turning it into sound.
Curated Video
Data Science and Machine Learning with R - Aesthetics Mappings
This vide explains aesthetics mappings. This clip is from the chapter "Data Visualization in R" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section explains data visualization in R.
Curated Video
Demo 3.1 Automated Machine Learning
In this demo video, we will work on automated machine learning. This clip is from the chapter "Fundamental Principles of Machine Learning on Azure (30- 35%)" of the series "AI-900: Microsoft Azure AI Fundamentals Video Course + Ques".In...
Curated Video
Data Science and Machine Learning with R - Working with Lists
This video explains working with lists. This clip is from the chapter "Data Types and Structures in R" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This video explains data types and...
Curated Video
Data Science and Machine Learning with R - Facets, Layering, and Coordinate Systems
This video explains facets, layering, and coordinate systems. This clip is from the chapter "Data Visualization in R" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section explains data...
Curated Video
Julia for Data Science (Video 12)
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...
R Programming 101
Explore your data using R programming
When doing data analysis, you need to start with a good understanding of you data. To explore your data, R has some fantastic and easy to use functions. In this video I take you through the process of exploring dataset and understanding...
FuseSchool
The Mean
The Mean | Statistics & Probability Bob is training for a race and is timing himself to check he’s getting faster. Times (in minutes): 51 48 45 44 47 50 44 47 45 43 49 44 43 44 His times are a bit inconsistent. He wants to find his...
Curated Video
Predictive Analytics with TensorFlow 9.2: Implementing an RNN for Spam Prediction
We will see how to implement an RNN in TensorFlow to predict spam/ham from texts. • Construct RNN network • Perform the training • Plot accuracy over time
Packt
Explain the negative impacts of artificial intelligence systems on society : BIM Attack Practical Configuration
From the section: Compare Various Attacks. In this section, you will learn the most important metrics to compare various attacks. Now, you will dive deeper into various adversarial attacks from the white-box category. You will see how...
Brian McLogan
How to use pram to approximate the integral of a data set
👉 Learn how to approximate the integral of a function using the Reimann sum approximation. Reimann sum is an approximation of the area under a curve or between two curves by dividing it into multiple simple shapes like rectangles and...
Packt
Demo 2.1 Classification Model
In this demo video, we will work on classification model. This clip is from the chapter "Fundamental Principles of Machine Learning on Azure (30- 35%)" of the series "AI-900: Microsoft Azure AI Fundamentals Video Course + Ques".In this...
Curated Video
Data Science and Machine Learning with R - Data Preprocessing Introduction
This video introduces you to data preprocessing. This clip is from the chapter "Data Preprocessing" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section explains data preprocessing.
Curated Video
Alteryx for Beginners - Create Sample Tool
This video demonstrates how to use the Create Sample tool in Alteryx. This clip is from the chapter "Preparation Tab" of the series "Alteryx for Beginners".This section focuses on the Preparation tab.
Packt
Develop an AI system to solve a real-world problem : Boosting and Ensembles
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...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : ANN Training and dataset split
From the section: Artificial Neural Networks. In this section, we’ll learn about ANN. Artificial Neural Networks: ANN Training and dataset split
Curated Video
Data Science and Machine Learning with R - Vectors: Missing Values
This video explains vector missing values. This clip is from the chapter "Data Types and Structures in R" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This video explains data types and...