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Statistics & Mathematics for Data Science and Data Analytics - Overfitting
New ReviewIn 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
New ReviewThis 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
New ReviewIn 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
New ReviewAfter 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 - Introduction- The concept of regression
New ReviewIn this video, we will briefly understand the concept of regression and how regression analysis predicts data value.
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Statistics & Mathematics for Data Science and Data Analytics - Important p-z Pairs
New ReviewWhile performing the hypothesis testing and general statistics, you will learn more about the p-z combination and the normal distribution.
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Statistics & Mathematics for Data Science and Data Analytics - Excursion: Calculating Sample Size and Power
New ReviewAfter 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 - What Is a Distribution?
New ReviewThis brief introduction to distribution elaborates on what constitutes data distribution and the kinds of distribution you will learn about.
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Statistics & Mathematics for Data Science and Data Analytics - Statistical Moments
New ReviewHere, 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
New ReviewAfter 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 - Sample Versus Population
New ReviewThis lecture will explain the fundamental difference between a sample and a population in statistical data.
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Statistics & Mathematics for Data Science and Data Analytics - Range and IQR
New ReviewIn 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 - Mean or Median?
New ReviewIn this lesson, the author explains more about the mean and median and when to use them for the best results.
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Statistics & Mathematics for Data Science and Data Analytics - Median
New ReviewIn 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 - Mean
New ReviewIn this video, we will discuss the measures of central tendency. Here, you will learn more about the first measure, the mean.
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Statistics & Mathematics for Data Science and Data Analytics - Introduction- The basics of statistics
New ReviewThis brief introduction to the section outlines what you will be learning from this section, including the basics of statistics.
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Statistics & Mathematics for Data Science and Data Analytics - What Will You Learn in This Course?
New ReviewIn this video, the author briefly introduces what it would take to become a data scientist and then goes over in detail what one can learn from this course.
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Statistics & Mathematics for Data Science and Data Analytics - Welcome!
New ReviewThis 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
New ReviewIn 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 - NLTK Features
New ReviewLet's explore the Natural Language Toolkit, a library used for specific tasks related to natural language processing, including tokenization, filtering words, stemming, lemmatization, chunking/chinking, and entity recognition.
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Basics of Chatbots with Machine Learning & Python - Elimination
New ReviewAfter 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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Git and GitHub Masterclass - Fast track your Journey to Git! - Understanding Digital Signatures
New ReviewThis video explains digital signatures.
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Express Framework Mastery: From Beginner to Advanced with Node.js - POST Requests with API Data in Express
New ReviewIn 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
New ReviewIn this video, we will be exploring the basics of JSON, or JavaScript Object Notation, and how it's used in web development.