Curated Video
Alteryx Advanced - Introduction to the Course
This video introduces Alteryx and the team that delivers the course (Alteryx certified consultants), and looks at Alteryx as a powerful data analytics tool in the market. The video explains the features, capabilities, and use cases of...
Curated Video
Alteryx Advanced - Level-Up Your Apps and Macros Part 2
This video builds on the previous one and covers additional advanced techniques for designing and optimizing apps and macros in Alteryx, creating custom interfaces for your workflows, handling errors and exceptions using dynamic...
Curated Video
Alteryx Advanced - Regex and Parsing XML
In this video, you will learn about regex (regular expressions), which are sequences of characters to create patterns to locate and manage strings of data. You will learn to use the Regex tool. We will look at a demonstration that uses...
Curated Video
Why A.I. Won’t Replace Doctors
Some studies have found that supercomputers can diagnose illnesses more accurately than human doctors - from heart disease to cancer to asthma to early detection of sepsis (infection spreading through the blood). The use of AI is...
Financial Times
AI can be a climate warrior, but what about its carbon footprint?
FT Climate Capital - The US government has invested $4.5bn in a smart-energy grid and the UN predicts AI will be fundamental in driving sustainable consumer choices. But, as the FT’s climate editor Emiliya Mychasuk explains, AI comes...
Curated Video
AWS, JavaScript, React - Deploy Web Apps on the Cloud - AWS History
In this lesson, to understand the exponential growth of AWS, we will look at the history of its parent company, Amazon.
Curated Video
AWS, JavaScript, React - Deploy Web Apps on the Cloud - Deploying a Linode Virtual Instance
In this video, you will learn how to deploy a virtual instance in Linode.
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - RVT Models
This video explains the RVT (Resampling, Visualize, and Transform) models in time series in Python. This clip is from the chapter "Data Processing for Timeseries Forecasting" of the series "A Practical Approach to Timeseries Forecasting...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Stationarity Check - Project 3: Birth Rate Forecasting Using RNNs with Advanced Data Analysis
This video will do the stationarity check on your data. This clip is from the chapter "Project 3: Birth Rate Forecasting Using RNNs with Advanced Data Analysis" of the series "A Practical Approach to Timeseries Forecasting Using...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Data Manipulation
This video displays how to do data manipulation using a deep learning model. This clip is from the chapter "Project 3: Birth Rate Forecasting Using RNNs with Advanced Data Analysis" of the series "A Practical Approach to Timeseries...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Monthly Birth Distribution Plot and Birth Rate Plot
This video demonstrates the plotting of the monthly birth distribution and birth rate. This clip is from the chapter "Project 3: Birth Rate Forecasting Using RNNs with Advanced Data Analysis" of the series "A Practical Approach to...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Dataset Overview - Project 3: Birth Rate Forecasting Using RNNs with Advanced Data Analysis
This video helps you with an overview of the dataset. This clip is from the chapter "Project 3: Birth Rate Forecasting Using RNNs with Advanced Data Analysis" of the series "A Practical Approach to Timeseries Forecasting Using Python".null
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Project Overview - Project 1: COVID-19 Positive Cases Prediction Using Machine Learning Algorithm-1
This video provides an overview of the project. This clip is from the chapter "Project 3: Birth Rate Forecasting Using RNNs with Advanced Data Analysis" of the series "A Practical Approach to Timeseries Forecasting Using Python".null
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - BiLSTM and Stacked BiLSTM
This video helps you with the execution of BiLSTM and Stacked BiLSTM on data. This clip is from the chapter "Project 2: Microsoft Corporation Stock Prediction Using RNNs" of the series "A Practical Approach to Timeseries Forecasting...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - LSTM Implementation and Errors
This video explains the implementation of LSTM and its errors. This clip is from the chapter "Project 2: Microsoft Corporation Stock Prediction Using RNNs" of the series "A Practical Approach to Timeseries Forecasting Using Python".This...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Dataset Division
This video explains how to do dataset division. This clip is from the chapter "Project 2: Microsoft Corporation Stock Prediction Using RNNs" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section focuses...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Data Manipulation for Deep Learning
This video displays how to do data manipulation using a deep-learning model. This clip is from the chapter "Project 2: Microsoft Corporation Stock Prediction Using RNNs" of the series "A Practical Approach to Timeseries Forecasting Using...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Stationarity Check - Project 2: Microsoft Corporation Stock Prediction Using RNNs
This video will do the stationarity check on your data. This clip is from the chapter "Project 2: Microsoft Corporation Stock Prediction Using RNNs" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Auto Correlation, Standard Deviation, and Mean
This video explains and executes the dataset's autocorrelation, standard deviation, and mean. This clip is from the chapter "Project 2: Microsoft Corporation Stock Prediction Using RNNs" of the series "A Practical Approach to Timeseries...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Area Plots
This video demonstrates plotting of the area of the dataset. This clip is from the chapter "Project 2: Microsoft Corporation Stock Prediction Using RNNs" of the series "A Practical Approach to Timeseries Forecasting Using Python".This...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Data Visualization Line Plots
This video demonstrates data visualization using line plots. This clip is from the chapter "Project 2: Microsoft Corporation Stock Prediction Using RNNs" of the series "A Practical Approach to Timeseries Forecasting Using Python".This...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Data Analysis
This video helps you with the data analysis part. This clip is from the chapter "Project 2: Microsoft Corporation Stock Prediction Using RNNs" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Module Overview - Project 2: Microsoft Corporation Stock Prediction Using RNNs
This video provides an overview of the project. This clip is from the chapter "Project 2: Microsoft Corporation Stock Prediction Using RNNs" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section focuses...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Variations in SARIMA
This video demonstrates variations in SARIMA with the dataset. This clip is from the chapter "Project 1: COVID-19 Positive Cases Prediction Using Machine Learning Algorithm" of the series "A Practical Approach to Timeseries Forecasting...