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Statistics & Mathematics for Data Science and Data Analytics - Logistic Regression
This video will look at logistic regression in detail, mainly used for classification problems with one or multiple independent variables.
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Statistics & Mathematics for Data Science and Data Analytics - Overfitting
In this video, we will explore overfitting, which is very commonly used in machine learning.
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Statistics & Mathematics for Data Science and Data Analytics - Solution: RMSE
This is the solution to the practice exercise to estimate how well a regression works using the root mean square error method.
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Statistics & Mathematics for Data Science and Data Analytics - Root Mean Square Error
In this lecture, you will learn another important metric to determine the quality of our regression using the root mean square error method.
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Statistics & Mathematics for Data Science and Data Analytics - Correlation Coefficient
After learning about linear regression and how to calculate the formula for our regression lines, we will now look at the correlation coefficient or Pearson's coefficient.
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Statistics & Mathematics for Data Science and Data Analytics - Excursion: Calculating Sample Size and Power
After exploring confidence intervals and margin of error, we will now understand how to determine a sample size to reduce the error size caused by the sample size.
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Statistics & Mathematics for Data Science and Data Analytics - Statistical Moments
Here, we will understand the concepts of statistical moments, which generalizes what we already know about the central tendency measures and spread/dispersion.
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Statistics & Mathematics for Data Science and Data Analytics - Variance and Standard Deviation
After learning about the measures of spread, the range, and IQR, we will now learn more about the two most common measures of spread, the variance, and standard deviation.
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Statistics & Mathematics for Data Science and Data Analytics - Range and IQR
In this lesson, we will understand the measures of spread or dispersion, which is the range, and we will look at the interquartile range in detail.
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Statistics & Mathematics for Data Science and Data Analytics - Median
In this lesson, we will discuss the second important measure of central tendency, the median.
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Statistics & Mathematics for Data Science and Data Analytics - Welcome!
This is a welcome introduction by the author where he explains in detail what the course is all about, what you will learn from the course, and a brief outline of the entire course's content.
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Basics of Chatbots with Machine Learning & Python - Data Input
In this lesson, we will begin inputting the data we will use for our rule-based chatbot.
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Basics of Chatbots with Machine Learning & Python - Elimination
After collecting all the data, you will learn to eliminate the text that we do not want to use in the chatbot project through an elimination process.
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Express Framework Mastery: From Beginner to Advanced with Node.js - POST Requests with API Data in Express
In this video, we will be exploring how to use POST requests to send and receive data from an API using Express.js.
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Express Framework Mastery: From Beginner to Advanced with Node.js - Write a Basic JSON of User Data
In this video, we will be exploring the basics of JSON, or JavaScript Object Notation, and how it's used in web development.
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Express Framework Mastery: From Beginner to Advanced with Node.js - Reading Files with Node.js
In this video, we see how to read files using Node.js and the FS module. We start by explaining the importance of reading files in web development and the different scenarios in which reading files is necessary. Then, we demonstrate how...