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Practical Data Science using Python - Types of Data and Descriptive Statistics
This video explains types of data and descriptive statistics. This clip is from the chapter "Statistical Techniques" of the series "Practical Data Science Using Python".This section explains advanced visualizations using business...
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Practical Data Science using Python - Statistics and Experiments
This video explains statistics and experiments. 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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Probability Statistics - The Foundations of Machine Learning - Dispersion Exploration Through Code
In this video, we will cover dispersion exploration through code. This clip is from the chapter "Measures of Spread" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we will cover measures...
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Data Analytics using Python Visualizations - Plotting Histograms and Box Plots
This video explains plotting histograms and box plots. This clip is from the chapter "Matplotlib and Seaborn – Libraries and Techniques" of the series "Data Analytics Using Python Visualizations".This section introduces you to...
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Practical Data Science using Python - Linear Regression - Feature Scaling and Cost Functions
This video explains linear regression - feature scaling and cost functions. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
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The Complete Python Course - 4 Coding Examples - Statistics Module Functions
Understand the primary functions of a statistic module with examples. This clip is from the chapter "Python – Statistics Module" of the series "The Complete Python Course (2022)".This section handles statistical data in a module.
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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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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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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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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 - 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...