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Statistics & Mathematics for Data Science and Data Analytics - Central Limit Theorem - Intuition
New ReviewIn this video, we will understand the central limit theorem intuitively. We will explore this concept online using the onlinestatbook.com webpage.
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Statistics & Mathematics for Data Science and Data Analytics - Central Limit Theorem - Theory
New ReviewIn this video, you will learn about a fundamental concept of probability, the central limit theorem. The author explains this comprehensively as the base for the following lectures.
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Statistics & Mathematics for Data Science and Data Analytics - Z-Scores
New ReviewIn this lesson, you will learn more about a precise distribution score, the Z score, and the Z score table.
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Statistics & Mathematics for Data Science and Data Analytics - Normal Distribution
New ReviewAfter understanding the data distribution concept, we will look at the first type, the normal distribution.
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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 - Skewness
New ReviewIn this video, you will learn about skewness, the symmetry you learned about in the previous lesson.
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How to Calculate Standard Deviation
Standard deviation quantifies how diverse the values of your data set are, and is useful in determining how different your numbers are from each other.
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What is Six Sigma? ...and DMAIC
Motorola introduced the idea of Six Sigma to reduce defects, and match the quality standards their competitors were able to achieve. So, what is Six Sigma? Originally, Six Sigma was a metric for a quality standard. Now, it is much more....
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What is a PERT Chart? Project Management in Under 5
When it comes to project planning and estimation, there are a few 'go-to' tools that every project manager should know, and one of them is the PERT Method. So, what is a PERT Chart?
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Mean Absolute Deviation MAD | 6.SP.3
Welcome to Math Defined! In this video, we're diving into the world of Mean Absolute Deviation (MAD) and exploring its importance in understanding data variability. Join us as we break down this fundamental statistical concept in a way...
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Financial Analysis - Build a ChatGPT Pairs Trading Bot - Pairs Trading Intuition
Here, we will gain an intuitive understanding of pairs trading, including the underlying concept, rationale, and potential advantages of this popular trading strategy. This will equip us with the foundational knowledge to implement pairs...
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Financial Analysis - Build a ChatGPT Pairs Trading Bot - Mean Reversion Test
In this video, we will conduct a mean reversion test as part of the sanity check for our pairs trading strategy with ChatGPT. We will understand the concept of mean reversion and its relevance in pairs trading, and techniques and...
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Financial Analysis - Build a ChatGPT Pairs Trading Bot - Returns, Log Returns, Cumulative Returns
Here, we will gain a comprehensive understanding of different returns used in pairs trading, including simple, log, and cumulative returns, and how these metrics are calculated and interpreted in the context of evaluating the performance...
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Financial Analysis - Build a ChatGPT Pairs Trading Bot - The Initial Prompt
In this video, we will create an initial prompt to engage with ChatGPT for pairs trading, including specific inputs, queries, or instructions to the language model for an interactive and iterative analysis process for effective pairs...
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Financial Analysis - Build a ChatGPT Pairs Trading Bot - Pairs Trading Test
In this video, we will conduct a pairs trading test to validate the performance and effectiveness of our strategy with ChatGPT into specific techniques and statistical tests to evaluate the performance of our pairs trading strategy with...
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Financial Analysis - Build a ChatGPT Pairs Trading Bot - Correcting the Z-Score Computation
In this video, we will examine the computation of the Z-Score, a critical statistical metric used in pairs trading. You will learn to correct potential inaccuracies/inconsistencies in the Z-Score calculation, ensuring that the...
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Introduction to FinTech Using R - First Course in Asset Pricing
In this video, we will look at how to create an ASP.NET Core API project with Visual Studio 2022 using an ASP.NET Core web API template. This clip is from the chapter "Asset Pricing" of the series "Introduction to FinTech Using R".This...
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Introduction to FinTech Using R - How to Time Stock Market
In this video, you will learn how to time the stock market and will focus on the coding aspect of how the algorithm is designed. This clip is from the chapter "Stock Market Timing" of the series "Introduction to FinTech Using R".In this...
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Introduction to FinTech Using R - Basics in Money Management
This clip is from the chapter "Introduction" of the series "Introduction to FinTech Using R".This section introduces the course and basics in money management.
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Deep Learning - Crash Course 2023 - Regression Problem
In this video, you will learn how to solve a regression problem using the Boston housing dataset. This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section, you will learn...
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Deep Learning - Crash Course 2023 - Data Standardization - 2
In this video, we will understand when and how to apply standard Scaler with data standardization. This clip is from the chapter "Sigmoid Neuron Implement with Python" of the series "Deep Learning - Crash Course 2023".In this section,...
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Deep Learning - Crash Course 2023 - Data Standardization - 1
In this video, we will start working on data standardization with Sigmoid. This clip is from the chapter "Sigmoid Neuron Implement with Python" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how to...
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Deep Learning - Computer Vision for Beginners Using PyTorch - Mathematical Operations and Functions in NumPy
In this video, we will understand the different mathematical operations and functions that we can perform on NumPy arrays. This clip is from the chapter "Optional Learning - Python for Data Science - with NumPy" of the series "Deep...
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Deep Learning - Convolutional Neural Networks with TensorFlow - Batch Normalization
In this video, you will learn about batch normalization. This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this section, we will cover a...