Instructional Video39:38
Curated Video

Data Science and Machine Learning with R - Logistic Regression in R

Higher Ed
This video explains logistic regression in R. 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.
Instructional Video9:38
R Programming 101

How to use ggplot to create beautiful scatter plots. This is an R programming for beginners video

Higher Ed
Data visualisation is easy when you use ggplot. Ggplot2 is package and forms part of the tidyverse group of packages in R. Ggplot is used to create amazing plots and graphs. In this video I talk you though how to visualise two numeric...
Instructional Video23:22
APMonitor

Deploy Python ML Apps

10th - Higher Ed
Training and testing are often performed once on a dedicated computing platform. The trained model is then packaged for another computing system for predictions. Deploying machine learning is the process of making the model available to...
Instructional Video10:11
Curated Video

Design a computer system using tree search and reinforcement learning algorithms : Creating an Agent to Solve the MAB Problem Using Python and Tensorflow

Higher Ed
From the section: The Multi-Armed Bandit. In this section, we will learn about the basics and look at one of the most foundational concepts in Reinforcement Learning – The Multi-Armed Bandit We construct a model of a MAB environment from...
Instructional Video8:09
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Support Vector Classifiers in Action

Higher Ed
From the section: Machine Learning: Part 2. In this section, we’ll cover Bayes Theorem, Naive Bayes, SVM and SVC to classify data. Machine Learning: Part 2: [Activity] Support Vector Classifiers in Action
Instructional Video8:27
Fun Robotics

Segmenting Mall Customers

Higher Ed
Implementing the Kmeans clustering method to segment customers from a mall dataset.
Instructional Video27:52
APMonitor

OBD-II Data Analysis with Python

10th - Higher Ed
Automotive data is available from OBD-II codes that are standard for engine monitoring of light duty vehicles (passenger cars) starting in year 1996. Newer vehicles may include additional sensors from other electronic systems such as the...
Instructional Video29:15
APMonitor

k-Nearest Neighbors in Python

10th - Higher Ed
k-Nearest Neighbors classification is a type of lazy learning as it does not attempt to construct a general internal model, but simply stores instances of the training data. Classification is computed from a simple majority vote of the k...
Instructional Video6:41
R Programming 101

R programming for beginners - Manipulate data using the tidyverse. Select, filter and mutate.

Higher Ed
Learn to manipulate data using the tidyverse package in R. This is part of the "R programming for beginners" series of videos. In this video, I use one of R's built-in datasets and demonstrate how to use the following DPLYR commands:...
Instructional Video4:07
Curated Video

Evaluate the impact of an AI application used in the real world. (case study) : Working with Flower Images: Case Study - Part 1

Higher Ed
From the section: CNN-Industry Live Project: Playing With Real World Natural Images. This section includes a live project of working with flower images. CNN-Industry Live Project: Playing with Real World Natural Images: Working with...
Instructional Video10:45
Curated Video

Predictive Analytics with TensorFlow 5.1: Using K-means for Predictive Analytics

Higher Ed
This video will have a brief introduction to the unsupervised machine learning technique. We will also look at k-means for predictive analytics. • Understand the concept of clustering • See how k-means work • Use k-means for predicting...
Instructional Video8:59
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Naive Bayes in Action

Higher Ed
From the section: Machine Learning: Part 2. In this section, we’ll cover Bayes Theorem, Naive Bayes, SVM and SVC to classify data. Machine Learning: Part 2: [Activity] Naive Bayes in Action
Instructional Video49:46
Science360

Best image ever of planet formation around infant star taken by ALMA

12th - Higher Ed
The National Science Foundation-funded National Radio Astronomy Observatory expanded on a news release related to the Atacama Large Millimeter/submillimeter Array's (ALMA) new high-resolution capabilities. Astronomers have captured the...
Instructional Video5:01
Curated Video

Learning R for Data Visualization (Video 7)

Higher Ed
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...
Instructional Video10:29
Python Programmer

EDA Python - 26_Energy_consumption

Higher Ed
In this data analysis project, you will download energy consumption data by postcode from the UK government website, you'll then plot that data on a map using plotly.
Instructional Video7:50
Fun Robotics

Content Based Recommender System

Higher Ed
Implementing the K-nearest neighbor algorithm to recommend a car based on customers' specifications.
Instructional Video6:15
Curated Video

Julia for Data Science (Video 22)

Higher Ed
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...
Instructional Video7:45
Curated Video

Evaluate visual representations of data that models real-world phenomena or processes : Visualizing Text Data

Higher Ed
From the section: NLP Visualization and Model Experimentation. Visualize text data and view data embeddings. View and track hyperparameter tuning and display training configurations to run reproducible experiments. In this video, we’ll...
Instructional Video14:52
Financial Times

Mapping how railroads built America - Ep 3

Higher Ed
A new look at antique US railroad maps reveals how cities grew over the past 200 years. The FT's Alan Smith and Steven Bernard trace how cities, people and the economy spread from coast to coast.
Instructional Video15:40
Curated Video

Predictive Analytics with TensorFlow 9.4: An LSTM Predictive Model for Sentiment Analysis

Higher Ed
Sentiment analysis is one of the most widely performed tasks in NLP. An LSTM network can be used to classify short texts into desired categories–that is, classification problems. For example, a set of tweet texts can be categorized as...
Instructional Video5:52
Curated Video

Mastering Quantitative Skills for Economics

12th - Higher Ed
The video discusses the essential quantitative skills that modern-day economists should possess to successfully handle and interpret data and statistics related to economies, trade figures, and budget figures. The video goes over various...
Instructional Video15:50
Fun Robotics

Project Neural Network

Higher Ed
Design a Neural Network to classify handwritten digits using Keras and TensorFlow
Instructional Video50:29
Curated Video

Demo Part 1.2 Regression Model

Higher Ed
In this demo video, we will work on regression 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...
Instructional Video21:49
Curated Video

Data Science and Machine Learning with R - Introduction to Machine Learning Part One

Higher Ed
This video is an introduction to 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 explains machine...