Curated Video
Extending the Empirical Rule: Finding Percentages within a Normal Distribution
In this video, the teacher explains how to use the empirical rule to find the percentage of data that falls within a certain interval in a normal distribution. The teacher provides examples and tips on how to apply this rule effectively.
Curated Video
PMI-RMP Certification Training - Probability Distribution
This video explains probability distribution. This clip is from the chapter "Perform Quantitative Risk Analysis" of the series "PMI-RMP® Certification Training".This section explains performing quantitative risk analysis.
Curated Video
Identifying Data Set Shapes: Modes and Symmetry
In this video, the teacher explains how to identify the shape of a data set by examining the modes and symmetry of a graph. They introduce various types of graphs, such as histograms, box plots, and dot plots, and explain how to classify...
Curated Video
Data Analytics using Python Visualizations - Seaborn Boxplot, Violin plot, Categorical Scatterplot
This video explains Seaborn Boxplot, Violin plot, and Categorical Scatterplot. This clip is from the chapter "Advanced Visualizations Using Business Applications" of the series "Data Analytics Using Python Visualizations".This section...
APMonitor
Data Science 🐍 Graphical Analysis
In addition to summary statistics, data visualization helps to understand the data characteristics and how different variables are related.There are many examples of data visualization with Matplotlib, Seaborn, and Plotly. In this...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Batch Normalization
This video demonstrates batch normalization. This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of the deep...
Curated Video
Probability Statistics - The Foundations of Machine Learning - Continuous Distributions Code
In this video, we will cover continuous distributions code. This clip is from the chapter "Random Variables - Rationale and Applications" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we...
Curated Video
Probability Statistics - The Foundations of Machine Learning - Discrete Distributions Through Code
In this video, we will cover discrete distributions through code. This clip is from the chapter "Random Variables - Rationale and Applications" of the series "Probability / Statistics - The Foundations of Machine Learning".In this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Probability Model: Probability Models towards Random Variables
In this video, we will cover probability models towards random variables. 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...
Curated Video
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...
Curated Video
Practical Data Science using Python - EDA Project - 2
This video explains data distribution. This clip is from the chapter "Exploratory Data Analysis (EDA)" of the series "Practical Data Science Using Python".This section explains Exploratory Data Analysis.
Cerebellum
Marketing: Product, Price, Place, Promotion
We'll teach you the four P's of marketing: product, price, place and promotion. This is part 1 in the series: 'Marketing: Target Consumers'.
Curated Video
Data Analytics using Python Visualizations - Marginal Histograms and Marginal Boxplots
This video explains marginal histograms and marginal boxplots. 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...
Curated Video
Probability Statistics - The Foundations of Machine Learning - Distributions - Rationale and Importance
In this video, we will cover distributions for rationale and importance. This clip is from the chapter "Random Variables - Rationale and Applications" of the series "Probability / Statistics - The Foundations of Machine Learning".In this...
Curated Video
Probability Statistics - The Foundations of Machine Learning - Quantifying Events - Random Variables
In this video, we will cover quantifying events - random variables. This clip is from the chapter "Random Variables - Rationale and Applications" of the series "Probability / Statistics - The Foundations of Machine Learning".In this...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Distribution of the Data
In this video, you will learn distribution of the data. This clip is from the chapter "Simple Linear Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will cover simple linear...
Curated Video
Practical Data Science using Python - Linear Regression Data Preparation and Analysis 2
This video explains how to plot the distribution of various values of engine types. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Batch Normalization
This video explains about batch normalization. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the DNN foundation for deep...
Curated Video
Business Intelligence with Microsoft Power BI - with Material - Creating a Map with a Pie Chart
This video explains how to create a map along with a pie chart. This clip is from the chapter "Maps in Power BI" of the series "Business Intelligence with Microsoft Power BI - with Material".This section focuses on the types of maps in...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Multiple Random Variables: Curse of Dimensionality
In this video, we will cover Curse of Dimensionality.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Matplotlib, Seaborn, and Bokeh for Data Visualization: Seaborn Pairplot using Iris Data
In this video, we will cover Seaborn Pairplot using Iris data. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Random Variables: Random Variables in Real Datasets
In this video, we will cover random variables in real datasets. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Random Variables: Geometric Random Variable Python Practice
In this video, we will cover geometric random variable python practice. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Multiple Random Variables: Classification
In this video, we will cover classification.