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Calculating and Comparing the Spread of Data Sets: Understanding Standard Deviation
Learn how to calculate and compare the spread of data sets using measures such as range, interquartile range, and standard deviation. By understanding these measures, the teacher helps students understand the variability and consistency...
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Absolute Deviation and Mean Absolute Deviation
Calculate absolute deviations and the mean absolute deviations of a data set.
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Practical Data Science using Python - Principal Component Analysis Practical
This video demonstrates PCA using Python. This clip is from the chapter "Dimensionality Reduction Using PCA" of the series "Practical Data Science Using Python".This section explains dimensionality reduction using PCA.
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Practical Data Science using Python - Pandas Series 4
This video explains the round method. This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.
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Data Science and Machine Learning (Theory and Projects) A to Z - Matplotlib for Data Visualization: Matplotlib 3D Scatter Plots
In this video, we will cover Matplotlib 3D scatter plots. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory and...
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Comparing Two Sets of Data: Measures of Center and Measures of Spread
Learn how to effectively compare and analyze data sets using statistical measures. In this video, we how to compare two sets of data using measures of center (median and mean) and measures of spread (standard deviation and interquartile...
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Mean Absolute Deviation
Calculate absolute deviations and the mean absolute deviations of a data set.
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PMI-RMP Certification Training - Case Study 4
This video explains a case study on effort and cost estimation. This clip is from the chapter "Perform Quantitative Risk Analysis" of the series "PMI-RMP® Certification Training".This section explains performing quantitative risk analysis.
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Practical Data Science using Python - Logistic Regression - Data Analysis and Feature Engineering
This video explains logistic regression - data analysis and feature engineering. This clip is from the chapter "Logistic Regression" of the series "Practical Data Science Using Python".This section explains logistic regression.
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Reinforcement Learning and Deep RL Python Theory and Projects - Evaluation and Testing
This video is on evaluation and testing. This clip is from the chapter "Stable Baselines Cartpole Solution" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the Stable Baselines...
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Data Science and Machine Learning (Theory and Projects) A to Z - Project Bayes Classifier: Project Bayes Classifier from Scratch
In this video, we will cover project Bayes Classifier from scratch. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and...
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Data Science and Machine Learning (Theory and Projects) A to Z - Matplotlib, Seaborn, and Bokeh for Data Visualization: Histograms Kdeplot
In this video, we will cover histograms Kdeplot. This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
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Probability Statistics - The Foundations of Machine Learning - Continuous Distributions with the Help of an Example
In this video, we will cover continuous distributions - probability densities. This clip is from the chapter "Random Variables - Rationale and Applications" of the series "Probability / Statistics - The Foundations of Machine...
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Practical Data Science using Python - Principal Component Analysis - Computations 1
This video explains Principal Component Analysis – computations. This clip is from the chapter "Dimensionality Reduction Using PCA" of the series "Practical Data Science Using Python".This section explains dimensionality reduction using...
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Practical Data Science using Python - NumPy Arrays 2
This video explains returning the dot product of two arrays. This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.
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Practical Data Science using Python - Hypothesis Testing
This video explains hypothesis testing.
This clip is from the chapter "Statistical Techniques" of the series "Practical Data Science Using Python".This section explains advanced visualizations using business applications.
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Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Creating a Macro Example 2 (Unique Sales Reports for Different Days)
The author will show you how to create a macro that creates different sales reports depending on the day. This clip is from the chapter "Macro Facility Fundamentals" of the series "Complete SAS Programming Guide - Learn SAS and Become a...
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Data Science and Machine Learning (Theory and Projects) A to Z - Feature Selection: Statistical Based Methods
In this video, we will cover statistical based methods. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects)...
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Data Science and Machine Learning (Theory and Projects) A to Z - Data Preparation and Preprocessing: Data Standardization
In this video, we will cover data standardization. This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will...
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Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: Batch Normalization
In this video, we will cover batch normalization.
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Data Science and Machine Learning (Theory and Projects) A to Z - Building Machine Learning Model from Scratch: K-Means Clustering from Scratch- Part 2
In this video, we will cover K-means clustering from scratch- part 2. This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
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Data Science and Machine Learning (Theory and Projects) A to Z - Python for Data Science: NumPy Pandas and Matplotlib (Part 3)
In this video, we will cover NumPy Pandas and Matplotlib (part 3).
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Data Science and Machine Learning (Theory and Projects) A to Z - Pandas for Plotting: Pandas for Plotting
In this video, we will cover Pandas for plotting. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
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Data Science and Machine Learning (Theory and Projects) A to Z - Pandas for Data Manipulation and Understanding: Pandas Rolling
In this video, we will cover Pandas Rolling. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...