Bozeman Science
A Beginner's Guide to Graphing Data
Paul Andersen explains how graphs are used to visually display data that is collected in experimentation. He describes five main types of graphs; line graph, scatter plot, bar graph, histogram and pie chart. He describes the important...
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Statistics & Mathematics for Data Science and Data Analytics - What Is a Distribution?
New ReviewThis brief introduction to distribution elaborates on what constitutes data distribution and the kinds of distribution you will learn about.
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Statistics & Mathematics for Data Science and Data Analytics - Solution: Skewness
New ReviewThis video is an explanation of the practice lesson/exercise of skewness.
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Represent With Histogram
New ReviewA video entitled "Represent with Histogram" covering the process of constructing a histogram by hand.
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Moving between tables and histograms
Pupil outcome: I can construct a table from a histogram. Key learning points: - A frequency table can be used to construct a histogram - A histogram can be used to construct a frequency table - Data is sometimes collected using uneven...
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Constructing histograms and box plots using technology
Pupil outcome: I can construct histograms and box plots utilising technology. Key learning points: - Histograms can be drawn quickly using technology - Using the raw data allows software to calculate equal bin widths easily - Box plots...
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Histograms with equal bar width
Pupil outcome: I can construct bar charts for continuous data. Key learning points: - A histogram is a bar chart for continuous data - The bars are adjacent due to the nature of the data - The bars are all the same width to allow easier...
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Summary statistics from histograms
Pupil outcome: I can estimate the mean and median from a histogram. Key learning points: - The mean can be found using a histogram - The median can be found using a histogram - An estimate for the frequency within a given data range can...
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Problem solving with cumulative frequency and histograms
Pupil outcome: I can use my knowledge of cumulative frequency and histograms to solve problems. Key learning points: - Different representations of the same data set give a fuller picture - It is important to identify what features are...
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Freak Waves
Why scientists dispelled rumours of extreme waves at sea, based on flawed mathematics. Maths - Statistics And Probability A Twig Math Film. Reinforce and extend the learning required by the curriculum. Twig’s context films show abstract...
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Histograms: Snapshot
The use of histograms in digital photography to get the best picture. And how photographers account for the fact that histograms represent frequency density by area, not height. Maths - Statistics And Probability A Twig Math Film....
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Age Distribution for Users
In this video, we will develop a histogram to visualize the age distribution for users.
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Where to Learn More Pandas
In this video, we will understand from where we can learn more about Pandas. This clip is from the chapter "Pandas" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will talk about...
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Recommender Systems with Machine Learning - Age Distribution for Users
This video helps you find the age distribution for users from the dataset. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the use...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Machine Learning: Section Summary
In this video, we will summarize our learning from this section. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will cover...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Machine Learning and Deep Learning: Future Topics
In this video, you will learn what other types of machine learning exist and some future topics that we can look forward to learning. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites -...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Comparing Different Machine Learning Models
In this video, we will understand how all machine learning interfaces are the same. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - All Data Is the Same
In this video, we will understand how all data is the same as all machine learning interfaces are the same. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Machine Learning Is Nothing but Geometry.
In this video, we will understand that machine learning is nothing but a geometry problem and see how it works for classification and regression. This clip is from the chapter "Machine Learning Basics" of the series "Data Science...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - What Is a Feature Vector?
In this video, you will learn about a feature vector. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will cover machine...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Regression in Code
In this video, we will practice all that we have learnt in the previous video about regression. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - What Is Regression?
In this video, we will understand what regression is. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will cover machine...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Classification in Code
In this video, we will practice all that we have learnt in the previous video about classification. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - What Is Classification?
In this video, we will understand classification. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will cover machine...