Curated Video
Comparing and Contrasting 2-Dimensional Plane Figures
Mr. Addit defines the terms; plane, figure, triangle, quadrilateral, pentagon, hexagon, octagon, polygon, rhombus, parallelogram, and trapezoid.
Curated Video
Review for You: The Wonderful World of Geometry
Mr. Addit reviews geometry fundamentals including: points, lines, line segments, rays, perpendicular and parallel lines, acute, obtuse, and right angles, and isosceles, scalene, and equilateral triangles. He also reviews polygons...
Curated Video
Finding the Area of Irregular Shapes
Mr. Addit demonstrates the use of the grid strategy for finding the area of irregular shapes.
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 - 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...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - 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...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Time Series Forecasting (TSF) Using LSTM
This video explains the implementation of Time Series Forecasting (TSF) using LSTM. This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - LSTM Implementation on Dataset
This video demonstrates LSTM implementation on the dataset. 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...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - 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...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - Model for Underfitting and Overfitting
This video demonstrates the model 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 Python".This...
Curated Video
Universe Size Comparison/Pyramid Size Comparison
Learn universe size comparison with this pyramid size comparison video. Brought to you by KLT!
Weatherthings
Kelvin-Helmholtz Wave Clouds
Have you ever seen clouds that look like ocean waves? Sometimes wavy clouds mix in with other clouds and you don’t notice. Other times they stand out, but may not last very long. Clouds that look like waves on the ocean have a name of...
Curated Video
A Practical Approach to Timeseries Forecasting Using Python - LSTM Forecasting - Project 3: Birth Rate Forecasting Using RNNs with Advanced Data Analysis
This video talks about LSTM forecasting. 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 - Scaling
This video helps you with the scaling 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
Packt
LSTM Forecasting
This video talks about LSTM forecasting. 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
Packt
Scaling
This video helps you with the scaling 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
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
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...
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
Time Series Forecasting (TSF) Using LSTM
This video explains the implementation of Time Series Forecasting (TSF) using LSTM. This clip is from the chapter "Recurrent Neural Networks in Time Series Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using...
Packt
LSTM Implementation on Dataset
This video demonstrates LSTM implementation on the dataset. 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
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
Model for Underfitting and Overfitting
This video demonstrates the model 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 Python".This...