Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Methods: Clustering
In this video, we will cover clustering. This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will cover...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Transfer Learning: ImageNet Challenge
In this video, we will cover ImageNet challenge. This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Project I_ Book Writer: Modelling RNN Model Training
In this video, we will cover modelling RNN model training. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Engineering: Categorical Features
In this video, we will cover categorical features. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: DNN Training Parameters
In this video, we will cover DNN training parameters. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section,...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Final Project Part 1
In this first video, we will understand our project goals. Next, we will explore the Iris dataset, then learn how to update and split the data. This clip is from the chapter "Final Project" of the series "Deep Learning - Deep Neural...
Curated Video
Azure Data Factory for Beginners - Build Data Ingestion - Reading from Source to Target - Part 1
This is the first of the two-part video that helps in reading from source to target. This clip is from the chapter "Metadata-Driven Ingestion" of the series "Azure Data Factory for Beginners - Build Data Ingestion".Introduction to...
Curated Video
Azure Data Factory for Beginners - Build Data Ingestion - Create Linked Service for Metadata Database and Email Dataset
This video demonstrates creating a linked service for metadata database and email dataset. This clip is from the chapter "Metadata-Driven Ingestion" of the series "Azure Data Factory for Beginners - Build Data Ingestion".Introduction to...
Curated Video
Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Univariate Analysis
This video explains univariate analysis. This clip is from the chapter "SAS Model – Predictive Modeling, Understanding the Problem and the Data" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data Ninja".This...
Curated Video
Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - More on DO Group Processing (Without Index/Counter Variable)
There are four forms of Do Group processing, and three of the forms do not involve a counter/index variable. This clip is from the chapter "Working with Data" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data...
Curated Video
Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - More on Creating New Variables
More on creating new variables, including the type of expressions that you can utilize. This clip is from the chapter "Working with Data" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data Ninja".This section...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Random Variables: Random Variables in Real Datasets
In this video, we will cover random variables in real datasets. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Geographic Maps with Folium: Geographic Maps with Folium using COVID-19 Data Solution
In this video, we will cover geographic maps with Folium using COVID-19 data solution. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine...
Curated Video
Fundamentals of Machine Learning - Tree-Based Methods - Part 2
The second part of the tree-based methods explains random forests. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling, and...
Curated Video
Fundamentals of Machine Learning - Linear Regression - Labs
This video explains linear regression using an example of predicting fuel efficiency. This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various lab exercises on linear...
Curated Video
Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Logstash and MySQL - Part 1
This is the first part of the two-part video that explains how to use Logstash and MySQL to import data into your index. This clip is from the chapter "Importing Data into Your Index (Big or Small)" of the series "Elasticsearch 7 and...
Curated Video
REST API Automation Testing from Scratch - REST Assured Java - Parameterizing API Test with Multiple Data Sets using Cucumber Framework Features
This video demonstrates how to parameterize API Test with multiple data sets using the Cucumber framework features. This clip is from the chapter "Cucumber BDD API Framework Development from Scratch - 1" of the series "REST API...
Curated Video
Mean Absolute Deviation
Calculate absolute deviations and the mean absolute deviations of a data set.
Curated Video
pandas for Python - A Quick Guide - Selection and Filtering Pandas
In this video, you will learn about extracting part of the data frame using the selection operation. We will also look at accessing one or more columns using “[] and iloc and loc.†We will look at how to select a part of the data...
Curated Video
pandas for Python - A Quick Guide - Reading Data from Files
After learning about the Data Frame, we will look into how to read .csv files, a common datasheet. You will also learn about the pd.read_csv() call function. The author provides learning datasets and how to solve issues by correcting the...
Curated Video
pandas for Python - A Quick Guide - DataFrame Manipulation
Here, you will learn how to rename columns in a data frame. We will look at adding columns to a data frame, concatenating a data frame, and removing columns with the drop method. This clip is from the chapter "Data Preprocessing" of the...
Curated Video
No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Versioning
In this video, we will cover versioning. This clip is from the chapter "Other Important Features in SageMaker Canvas" of the series "No-Code Machine Learning Using Amazon AWS SageMaker Canvas".In this section, you will learn some other...
Curated Video
Data Analytics using Python Visualizations - Categorical Variables and Histograms (with EDA)
This video explains categorical variables and histograms. This clip is from the chapter "Advanced Visualizations Using Business Applications" of the series "Data Analytics Using Python Visualizations".This section explains advanced...
Curated Video
Data Analytics using Python Visualizations - Creating Simple Plots Using Matplotlib
This video explains how to create simple plots using Matplotlib. This clip is from the chapter "Matplotlib and Seaborn – Libraries and Techniques" of the series "Data Analytics Using Python Visualizations".This section introduces you...