Packt
BiLSTM for Time Series Forecasting
This video talks about BiLSTM for time series forecasting. This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section...
Packt
Feature Engineering
This video explains the concept of feature engineering. This clip is from the chapter "Data Processing for Timeseries Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section focuses on data...
Packt
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...
Packt
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...
Packt
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...
Packt
Visualize the Data
This video helps you with visualizing the data. 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 Using...
Packt
Dataset Index
This video executes the indexing of 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 Using...
Packt
Shape and NULL Check
This video executes the Shape and NULL Check operations on 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...
Packt
Dataset Reshaping
This video explains how to reshape the data and extract the intended information. This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using...
Packt
Dataset Preparation and Scaling
This video helps you with dataset preparation and scaling from scratch. This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This...
Packt
Model Evaluation for Underfitting and Overfitting
This video demonstrates model evaluation for underfitting and overfitting. This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using...
Packt
Future Predictions Using SARIMA
This video helps you with future predictions using SARIMA. This clip is from the chapter "Machine Learning in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section focuses on...
Packt
Handling Non-Stationarity in Time Series
This video explains how to handle non-stationarity in time series. This clip is from the chapter "Data Processing for Timeseries Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section...
Packt
Time Series Parameters
This video explains the time series parameters. This clip is from the chapter "Basics of Data Manipulation in Time Series" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section focuses on the basics of...
Packt
Basic Data Visualization with Single Time Series Feature
This video explains basic data visualization with single time series features. This clip is from the chapter "Basics of Data Manipulation in Time Series" of the series "A Practical Approach to Timeseries Forecasting Using Python".This...
Packt
GRU Models
This video explains the GRU (Gated Recurrent Unit) models and their application. This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using...
Packt
Quiz Solution
This is a solution video of the quiz on data processing. This clip is from the chapter "Data Processing for Timeseries Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section focuses on data...
Curated Video
Microsoft Excel 2021365 - Beginner to Advanced - Exercise 11 - work with macros
In this video, we will focus on Exercise 11 of this section, where we will work with macros.
Curated Video
Microsoft Excel 2021365 - Beginner to Advanced - The VBA Editor
In this video, we will explore the VBA Editor.
Curated Video
Microsoft Excel 2021365 - Beginner to Advanced - Using Macros to Automate Tasks
In this video, you will learn how to use macros to automate tasks.
Curated Video
Microsoft Excel 2021365 - Beginner to Advanced - Creating a Linear Sales Forecast
In this video, you will learn how to create a linear sales forecast.
Curated Video
Microsoft Excel 2021365 - Beginner to Advanced - The Power Query Editor
In this video, we will explore the power query editor.
Curated Video
Microsoft Excel 2021365 - Beginner to Advanced - Using MEDIAN, MODE.SNGL, and MODE.MULT
In this video, you will learn how to use MEDIAN, MODE.SNGL, and MODE.MULT.