Curated Video
Data Science and Machine Learning with R - Hands-on Exploratory Data Analysis
This video explains hands-on exploratory data analysis. This clip is from the chapter "Exploratory Data Analysis" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section explains...
Curated Video
Discuss the importance of data : Evaluating model performance in Python
From the section: Simple Decision trees. In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split. In the...
R Programming 101
R programming in one hour - A crash course for beginners
R programming is easy. In this video, I'll walk you though how to clean your data; how to manipulate (or wrangle) your data; how to summarize your data; how to create tables and describe your data; how to visualize your data using ggplot...
Curated Video
Predictive Analytics with TensorFlow 8.4: CNN-based Predictive Model for Sentiment Analysis
This video will try to see if we can use CNN for such a use case and experience much better accuracy. Well, the motivation here is that we know CNN is mostly suitable for handling image recognition, classification, or pattern...
R Programming 101
Visualize your data using ggplot. R programming is the best platform for creating plots and graphs
This video is part of a series of videos that consider data analysis using R programming. It is primarily for beginners. In this video I talk about using R to visualise your data. Data visualization using R is best done using the ggplot...
Curated Video
Deep Learning with Python (Video 8)
Deep learning is currently one of the best providers of solutions regarding problems in image recognition, speech recognition, object recognition, and natural language with its increasing number of libraries that are available in Python....
Financial Times
Mapping how railroads built America
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. Featuring data from the HISDAC-US Data...
NASA
Small Steps, Giant Leaps: Episode 6, Artificial Intelligence Small Steps, Giant Leaps
Brian Thomas, Agency Data Scientist at NASA Headquarters, discusses artificial intelligence.
Curated Video
Data Science and Machine Learning with R - Logistic Regression in R
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.
R Programming 101
How to use ggplot to create beautiful scatter plots. This is an R programming for beginners video
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...
APMonitor
Deploy Python ML Apps
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...
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
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...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Support Vector Classifiers in Action
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
Fun Robotics
Segmenting Mall Customers
Implementing the Kmeans clustering method to segment customers from a mall dataset.
APMonitor
k-Nearest Neighbors in Python
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...
APMonitor
OBD-II Data Analysis with Python
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...
R Programming 101
R programming for beginners - Manipulate data using the tidyverse. Select, filter and mutate.
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:...
Curated Video
Evaluate the impact of an AI application used in the real world. (case study) : Working with Flower Images: Case Study - Part 1
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...
Curated Video
Predictive Analytics with TensorFlow 5.1: Using K-means for Predictive Analytics
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...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Naive Bayes in Action
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
Science360
Best image ever of planet formation around infant star taken by ALMA
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...
Curated Video
Learning R for Data Visualization (Video 7)
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...
Python Programmer
EDA Python - 26_Energy_consumption
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.
Fun Robotics
Content Based Recommender System
Implementing the K-nearest neighbor algorithm to recommend a car based on customers' specifications.