Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Applications of RNN (Motivation): Stock Price Predictions
In this video, we will cover stock price predictions. 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 section, we...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Applications of RNN (Motivation): Human Activity Recognition
In this video, we will cover human activity recognition. 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 section,...
Curated Video
Fundamentals of Machine Learning - Ridge
This video explains a lab session on Ridge regression, which holds a unique position in statistical machine learning. This clip is from the chapter "Labs" of the series "Fundamentals of Machine Learning".This section explains the various...
Curated Video
Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - WPS – How to Find, Install, Register for, Use, and Upload Datasets
This video talks in detail about WPS. You will know how to find, install, register for, use, and upload datasets using WPS. This clip is from the chapter "Introduction to the Course" of the series "Complete SAS Programming Guide - Learn...
Curated Video
Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Updating the Master Dataset with New Variables or Observations
This video helps in updating the master dataset with new variables or observations. This clip is from the chapter "Fundamentals of Utilizing SAS Indexes" 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 - SQL Syntax
The author goes over the basic elements of SAS SQL syntax. This clip is from the chapter "SQL Fundamentals" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data Ninja".This section focuses on SQL fundamentals.
Curated Video
Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - SAS Studio/SAS OnDemand for Academics – Register, Upload, Run Code
This video helps you with SAS Studio/SAS OnDemand for academics. You will register, upload, and run code using SAS studio. This clip is from the chapter "Introduction to the Course" of the series "Complete SAS Programming Guide - Learn...
Curated Video
Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Oversampling and Adjusting for Oversampling
This video explains oversampling and adjusting for oversampling. This clip is from the chapter "SAS Predictive Modeling, Prepare the Input Variables" 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 - Merging Two Datasets
The author will show you how you can merge data from two different .txt files. It is super simple to do in SAS. 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 - Logistic Macro, Case Study – Part 2
This is the second of the two-part video that will talk in-depth about a Macro example based on logistic regression. This clip is from the chapter "Macro Facility Fundamentals" of the series "Complete SAS Programming Guide - Learn SAS...
Curated Video
Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - LENGTH Statement
You want to make sure to allocate the proper number of bytes for your variables, and in this video, the author will show you how! This clip is from the chapter "Working with Data" of the series "Complete SAS Programming Guide - Learn SAS...
Curated Video
Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Data Set Options
Data set options can give you control over your dataset or dataset variables. You will look at data set options in this video. This clip is from the chapter "Working with Data" of the series "Complete SAS Programming Guide - Learn SAS...
Curated Video
AWS Certified Data Analytics Specialty 2021 - Hands-On! - Choosing Visualization Types
This video explains how to select the visualization types in Amazon QuickSight. This clip is from the chapter "Domain 5: Visualization" of the series "AWS Certified Data Analytics Specialty 2021 "Hands-On!".In this section, you will...
Curated Video
AWS Certified Data Analytics Specialty 2021 - Hands-On! - Amazon Simple Storage Service (Amazon S3) and Glacier Select
This video focuses on Amazon S3, and Glacier select. This clip is from the chapter "Domain 2: Storage" of the series "AWS Certified Data Analytics Specialty 2021 "Hands-On!".In this section, you will learn about the various AWS storage...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Seaborn for Data Visualization: Seaborn Relplot Facets
In this video, we will cover Seaborn Relplot Facets. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory and Projects) A...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Python for Data Science: Python Packages for Data Science
In this video, we will cover Python packages for data science.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Pandas for Data Manipulation: Pandas Practice-Using COVID19 Data - Part 1
In this video, we will cover Pandas practice-using COVID19 data -part 1. This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Matplotlib, Seaborn, and Bokeh for Data Visualization: Seaborn Versus Matplotlib Style
In this video, we will cover Seaborn versus Matplotlib Style. This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" 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 - Mathematical Foundation: SubSpace
In this video, we will cover SubSpace. 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 Z".In this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Methods: Features
In this video, we will cover features. 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 machine...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Methods: Classification Practice with Python
In this video, we will cover classification practice with Python. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to TensorFlow: FashionMNIST Example Plan Neural Network
In this video, we will cover FashionMNIST example plan neural network. 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...
KnowMo
Problem Solving with Descriptive Statistics
The video is a lecture on problem solving descriptive statistics questions, focusing on the mean, median, mode and range. The instructor works through two examples and emphasizes the importance of logical thinking and interpretation of...
IDG TECHtalk
How to use the dtplyr package
The dtplyr 1.0 package lets you write dplyr R code and access speedy data.table performance. Find out how.