Can You Validate These Emails?
Email Validation is a procedure that verifies if an email address is deliverable and valid. Can you validate these emails?
From playlist Fun
What are the different ways to perform data validation in machine learning?
#machinelearning #shorts #datascience
From playlist Quick Machine Learning Concepts
10f Machine Learning: Cross Validation Considerations
Lecture on model cross validation, including workflows and philosophy.
From playlist Machine Learning
3. JavaScript Programming: HTML 5 Client Side Validation
This computer science video is the third in a series of lessons that introduce JavaScript programming. This lesson demonstrates how client side validation can be performed without writing a single line of JavaScript code, thereby putting client side validation with JavaScript in context.
From playlist HTML, CSS and JavaScript
Removing EEG-artifact-laden trials from the data before analyses is an important step in preprocessing. In this lecturelet, you'll see some examples of artifacts in EEG data. For more online courses about programming, data analysis, linear algebra, and statistics, see http://sincxpress.co
From playlist OLD ANTS #6) Data pre-processing and cleaning
Why do we need data validation in machine learning?
#machinelearning #shorts #datascience
From playlist Quick Machine Learning Concepts
Signature Validation - Applied Cryptography
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
From playlist Applied Cryptography
Artificial intelligence, Neuroscience, and Validity | Interface 1
In this webinar, a group of scholars will share their research and expertise in validity, neuroscience, and artificial intelligence (AI). In the first presentation, Bruno Zumbo of the University of British Columbia and Bryan Maddox of the University of East Anglia will review prominent con
From playlist Language Assessment & Technology
Building Our First Model | Introduction to Text Analytics with R Part 4
We are now ready to build our first model in RStudio and to do that, we cover: – Correcting column names derived from tokenization to ensure smooth model training. – Using caret to set up stratified cross validation. – Using the doSNOW r package to accelerate caret machine learning traini
From playlist Introduction to Text Analytics with R
Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial
This course will teach you how to use Keras, a neural network API written in Python and integrated with TensorFlow. We will learn how to prepare and process data for artificial neural networks, build and train artificial neural networks from scratch, build and train convolutional neural ne
From playlist Machine Learning
History of test validity research
History of test validity research Task-based vs competency-based assessment: https://www.youtube.com/watch?v=LCEfIyxoClQ&list=PLTjlULGD9bNJi1NtMfKjr7umeKdQR9DGO&index=18 Test usefulness: https://www.youtube.com/watch?v=jZFeOaYkVzA&list=PLTjlULGD9bNJi1NtMfKjr7umeKdQR9DGO&index=7
From playlist Learn with Experts
Build a Validation Set With TensorFlow's Keras API
In this episode, we'll demonstrate how to use TensorFlow's Keras API to create a validation set on-the-fly during training. 🕒🦎 VIDEO SECTIONS 🦎🕒 00:00 Welcome to DEEPLIZARD - Go to deeplizard.com for learning resources 00:18 Intro to Validation Sets 03:22 Creating a Validation Set 07:22
From playlist TensorFlow - Python Deep Learning Neural Network API
Project Integration Management | CAPM® Certification Training
CAPM® Certification training course, with the continuation from part 1, this video starts with lesson 4 and 5 respectively – Project Integration Management and Project Scope Management. 🔥Free CAPM Course: https://www.simplilearn.com/capm-basics-skillup?utm_campaign=CAPM&utm_medium=Descript
From playlist CAPM Training Videos
Dashboarding with Notebooks, Day 5: Testing and data validation | Kaggle
This livestream is for the fifth and final day of the Kaggle's Dashboarding with Notebooks educational event. Today Rachael will show you how to set up testing and validation in your notebooks! SUBSCRIBE: http://www.youtube.com/user/kaggledotcom?sub_confirmation=1&utm_medium=youtube&utm_s
From playlist Dashboarding with Notebooks | Kaggle
How to find the best model parameters in scikit-learn
In this video, you'll learn how to efficiently search for the optimal tuning parameters (or "hyperparameters") for your machine learning model in order to maximize its performance. I'll start by demonstrating an exhaustive "grid search" process using scikit-learn's GridSearchCV class, and
From playlist Machine learning in Python with scikit-learn
Selecting the best model in scikit-learn using cross-validation
In this video, we'll learn about K-fold cross-validation and how it can be used for selecting optimal tuning parameters, choosing between models, and selecting features. We'll compare cross-validation with the train/test split procedure, and we'll also discuss some variations of cross-vali
From playlist Machine learning in Python with scikit-learn
Building A Product From The Ground Up
For most seasoned business owners and aspiring entrepreneurs, the product development process often carries a mystical aura. Product development refers to the complete process of taking a product to market. It also covers renewing an existing product and introducing an old product to a new
From playlist Product Development
How do I encode categorical features using scikit-learn?
In order to include categorical features in your Machine Learning model, you have to encode them numerically using "dummy" or "one-hot" encoding. But how do you do this correctly using scikit-learn? In this video, you'll learn how to use OneHotEncoder and ColumnTransformer to encode your
From playlist Machine learning in Python with scikit-learn