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Deep Learning - Crash Course 2023 - Plotting with Matplotlib
In this video, we will understand the most popular plotting library in Python called Matplotlib and learn about plotting. This clip is from the chapter "Python for Data Science - Crash Course" of the series "Deep Learning - Crash Course...
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Deep Learning - Computer Vision for Beginners Using PyTorch - Matplotlib Introduction
In this video, we will get introduced to Matplotlib. This clip is from the chapter "Optional Learning - Python for Data Science - with Matplotlib" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this...
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Review of Charts, Graphs, and Line Plots
Mr. Addit reviews the line plot, tally chart, pictogram, and bar graph. He presents word problems to solve using the data from each.
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Line Plots
Mr. Addit provides an overview of the line plot, and he plots two groups of data.
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Review for You: Representing and Analyzing Data
Mr. Addit reviews multiple ways to represent and analyze data, including tallies, bar graphs, pictographs, and line plots.
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Measurement Data: Line Plot
Measurement Data: Line Plot shows how to create a line plot to display measurement data in fractions of a unit (1/2, 1/4, 1/8).
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Measurement Line Plots
Mr. Addit explains line plots and how to read information displayed on them.
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Review for You: Charts, Graphs, and Plots
Mr. Addit reviews tally charts, pictographs, bar graphs, and line plots.
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Choosing the Best Charts and Graphs to Represent Data
Mr. Addit reviews the charts and graphs he had discussed in previous lessons. He then presents two data sets and models how to determine which chart or graph is the best representation for the given data.
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Median, Mean, Mode, and Range
Mr. Addit demonstrates how to find the median, mean, mode, and range of data sets.
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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...
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A Practical Approach to Timeseries Forecasting Using Python - 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...
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A Practical Approach to Timeseries Forecasting Using Python - Graph for TSF Using LSTM
This video explains the graph for 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 Python".This section focuses on...
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A Practical Approach to Timeseries Forecasting Using Python - Yearly Birth Distribution Plot and Birth Rate Plot
This video demonstrates the plotting of the yearly 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...
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A Practical Approach to Timeseries Forecasting Using Python - LSTM Forecasting - Project 2: Microsoft Corporation Stock Prediction Using RNNs
This video helps you with LSTM forecasting. 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 on...
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Graph for TSF Using LSTM
This video explains the graph for 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 Python".This section focuses on...
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
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...
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Range, Mean, Median, and Mode
Range, Mean, Median, and Mode explains how to find the range, mean, median, and mode of data on line plots that contain measurement data in fractions of a unit (1/2, 1/4, 1/8).
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Creating Line Plots to Organize Measurement Data
We will show you in this MightyOwl video how to create a line plot to organize measurement data! Making line plots and other graphs isn’t just about putting data into a picture - it helps us to make different observations and see what...
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Line Plots
The video titled “Line Plots” provides an overview of a line plot and plots two groups of data as examples.
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Comparing Mean and Mean Absolute Deviation
In this video, a math teacher explains how to compare mean and mean absolute deviation (MAD) using line plots of whale sightings on morning and afternoon trips. The teacher walks through the steps of finding the mean and MAD for each set...
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Using Mean to Compare Data on Line Plots
In this video, the teacher explains how to compare data using line plots and means. The viewer is guided through finding the mean of each team's data, marking the averages on the line plots, and identifying the number of players who...
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Understanding the Shape of Data Distributions: Symmetry, Bell Curves, and Skews
In this video, the teacher explains the concept of shape in data distribution using different types of graphs. They discuss histograms, line plots, and bell curves, and how to interpret the shape of the data based on symmetry and...