Bozeman Science
Practice 3 - Planning and Carrying Out Investigations
Paul Andersen explains how investigations are used by scientists to answer questions and by engineers to test designs. He delineates be investigative and observational science. He demonstrates the formation of a good question the design...
Curated Video
Practical Data Science using Python - Python Variables and Conditions
This video explains Python variables and conditions. 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.
Curated Video
Practical Data Science using Python - Naive Bayes - Employee Attrition Case Study
This video explains Naive Bayes - employee attrition case study. This clip is from the chapter "Naive Bayes Probability Model" of the series "Practical Data Science Using Python".This section explains Naive Bayes probability model –...
Curated Video
Python In Practice - 15 Projects to Master Python - Variable Names
This video talks about the different variable names. This clip is from the chapter "Data Types and Variables" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on data types and variables.
Curated Video
Python In Practice - 15 Projects to Master Python - hasattr( )
This video explains the hasattr( ) function. This clip is from the chapter "All Built-In Functions" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on all built-in functions.
Curated Video
Practical Data Science using Python - Linear Regression - Practical Approach
This video explains linear regression - practical approach. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
Curated Video
Statistics for Data Science and Business Analysis - Practical Example: Regression Analysis
This video shows a practical example of regression analysis. This clip is from the chapter "Practical Example: Regression Analysis" of the series "Statistics for Data Science and Business Analysis".This section explains about regression...
Curated Video
Practical Data Science using Python - Regression Models and Performance Metrics
This video explains regression models and performance metrics. This clip is from the chapter "Machine Learning" of the series "Practical Data Science Using Python".This section explains machine learning.
Curated Video
Practical Data Science using Python - Logistic Regression Introduction
This video introduces you to logistic regression. This clip is from the chapter "Logistic Regression" of the series "Practical Data Science Using Python".This section explains logistic regression.
Curated Video
Practical Data Science using Python - Regression Problems
This video explains regression problems. This clip is from the chapter "Machine Learning" of the series "Practical Data Science Using Python".This section explains machine learning.
Curated Video
Practical Data Science using Python - Python User-Defined Functions
This video explains Python user-defined functions. 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.
Curated Video
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.
Curated Video
Practical Data Science using Python - Linear Regression OLS Assumptions and Testing
This video explains linear regression OLS assumptions and testing. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
Curated Video
Practical Data Science using Python - Linear Regression Data Preparation and Analysis 3
This video explains the train-rest split and feature scaling. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
Curated Video
Practical Data Science using Python - Linear Regression Introduction
This video introduces you to linear regression. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
Curated Video
Practical Data Science using Python - Random Variables and Normal Distribution
This video explains random variables and normal distribution. This clip is from the chapter "Statistical Techniques" of the series "Practical Data Science Using Python".This section explains advanced visualizations using business...
Curated Video
Data Science and Machine Learning with R - Data Preprocessing
This video explains some of the practical ways of data preprocessing. This clip is from the chapter "Data Preprocessing" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section explains...
Curated Video
Python In Practice - 15 Projects to Master Python - Variables
This video explains the variables, how to create variables, and different types of variables. This clip is from the chapter "Data Types and Variables" of the series "Python in Practice - 15 Projects to Master Python".This section focuses...
Curated Video
Practical Data Science using Python - Naive Bayes Probability Model - Introduction
This video introduces you to the Naive Bayes probability model. This clip is from the chapter "Naive Bayes Probability Model" of the series "Practical Data Science Using Python".This section explains Naive Bayes probability model –...
Curated Video
Practical Data Science using Python - Linear Regression Data Preparation and Analysis 1
This video explains linear regression data preparation and analysis. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
Curated Video
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.
Catalyst University
Motor Learning | Constant & Variable Practice
In this motor learning video, we will explore and differentiate constant and variable practice.
Curated Video
Chemistry Practical: Investigating the Effect of Concentration on Reaction Rate
This video discusses a required practical experiment in chemistry where the objective is to investigate how increasing the concentration of a reactant affects the rate of the reaction. The hypothesis is that increased concentration leads...
Curated Video
Practical Data Science using Python - Python Lists
This video explains Python lists. 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.