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...
APMonitor
Vision Deep Learning
In computer vision, deep learning has proven useful to extract patterns from images. Deep learning uses a neural network and optimization to relate features (pixels) to a desired label. As opposed to Cascade Classifiers, deep learning...
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...
APMonitor
Python 🐍 Curve Fit with Step Test Data
The Scipy curve_fit function determines two unknown coefficients (dead-time and time constant) to minimize the difference between predicted and measured response values. Pandas imports the data and the dataframe header is diplayed with...
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...
TLDR News
Trade After Hard Brexit: WTO Rules Explained
There has been a lot of talk about World Trade Organisation rules coming into force after Brexit. These are the rules and principles which would guide the UK's trade relationships after leaving the EU. So what will trade be like for the...
APMonitor
Python 🐍 Solve Nonlinear Equations with fsolve
This tutorial is an introduction to solving nonlinear equations with Python. The solution to linear equations is through matrix operations while sets of nonlinear equations require a solver such as Scipy optimize fsolve to numerically...
Catalyst University
The Nuclear Pore Complex: Nuclear Import, Export, & RAN
In this video, we discuss the mechanisms by which proteins are targeted to the nucleus (import) and moved from the nucleus to the cytoplasm (export). Collectively, nucleocytoplasmic transport is regulated by the nuclear pore complex and...
Packt
Importance of Soft Assertions in Selenium WebDriver
This video discusses the importance of soft assertions in Selenium WebDriver. This clip is from the chapter "Miscellaneous Topics in Selenium WebDriver" of the series "Selenium WebDriver with Java - Basics to Advanced and...
Curated Video
Evaluate visual representations of data that models real-world phenomena or processes : Visualizing Text Data
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...
Curated Video
Apache Spark 3 for Data Engineering and Analytics with Python - Challenge Part 3 - Q3 When to Advertise
In this session, we will be addressing third question of the challenge, which is: What time should we display advertisements to maximize the likelihood of customers trying products? This clip is from the chapter "Structured API - Spark...
Curated Video
Apache Spark 3 for Data Engineering and Analytics with Python - Challenge Part 2 - Get the City and State
Let's go ahead and work on the second part of the challenge. In this session, we will extract the city and state from the purchase address. This clip is from the chapter "Structured API - Spark DataFrame" of the series "Apache Spark 3...
Curated Video
Cypress - Modern Automation Testing from Scratch + Framework - Implementing Page Object Design Pattern into Cypress
This video introduces you to implementing page object design pattern into Cypress. This clip is from the chapter "Cypress Framework Part 2- Page Object Design and Test Parameterization" of the series "Cypress - Modern Automation Testing...
Curated Video
Complete Python Scripting for Automation - How to use Functions of one script into another script, what is __name__ ?
Functions: How to use Functions of one script into another script, what is __name__ ? This clip is from the chapter "Functions" of the series "Complete Python Scripting for Automation".You will learn how to define a Function, converting...
Jabzy
Sack of Antwerp - Stuff That I Find Interesting
In this video, Jabzy brings us historical tidbits and unknown facts about the Sack of Antwerp
TLDR News
Who Does The UK Trade With Most? - Data Dive
With Brexit coming up so soon it's important to consider who the UK actually trade with. Which countries does the UK export the most of their goods and services to and who does the UK rely on for imports?
Curated Video
Ensemble Machine Learning Techniques 2.3: Ensemble Learning for Classification
In this video, we will use python to write a simple ensemble learning model for classification. • We will use Jupyter Notebook to execute our code • Use Iris dataset to perform classification • Use hard voting and soft voting for...
Curated Video
Apache Spark 3 for Data Engineering and Analytics with Python - Challenge Part 3 - Q4 Products Bought Together
In this session, we will address the final question of the challenge, which is: What products are often sold together in the state of 'NY'? This clip is from the chapter "Structured API - Spark DataFrame" of the series "Apache Spark 3...
APMonitor
Split Data for Machine Learning
Splitting data ensures that there are independent sets for training, testing, and validation. Data can be divided into sequential blocks where the order is preserved (e.g. time series) or with random selection (shuffle). Cross-validation...
Curated Video
Predictive Analytics with TensorFlow 3.3: TensorFlow Programming Model
The TensorFlow programming model signifies how to structure your predictive models. • Look at the steps for structuring the model
Curated Video
Julia for Data Science (Video 15)
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
Apache Spark 3 for Data Engineering and Analytics with Python - Aggregations - Count and Count Distinct
In this session, we will explore the concept of aggregation further and learn to use the count and countDistinct aggregation functions. This clip is from the chapter "Structured API - Spark DataFrame" of the series "Apache Spark 3 for...
IDG TECHtalk
Docstrings in Python: Code as comments, and comments as code
Learn how to use Python's docstrings feature to embed documentation directly into your code, available through Python's help system and accessible by third-party documentation-generation tools.
Curated Video
Complete Python Scripting for Automation - Introduction to Python Modules
Working with Python Modules: Introduction to Python Modules This clip is from the chapter "Working with Python Modules" of the series "Complete Python Scripting for Automation".You will learn about platform module and getpass module.