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Deep Learning - Recurrent Neural Networks with TensorFlow - Sequence Data
In this video, you will learn about sequence data. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning - Recurrent Neural Networks with TensorFlow".In this...
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Deep Learning - Recurrent Neural Networks with TensorFlow - Outline
In this video, we will understand the course learning approach and what is required to start with this course. Then we will also understand what is covered in this course. This clip is from the chapter "Welcome" of the series "Deep...
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Deep Learning - Recurrent Neural Networks with TensorFlow - Introduction
In this video, we will get introduced to recurrent neural networks and understand the course learning objective. This clip is from the chapter "Welcome" of the series "Deep Learning - Recurrent Neural Networks with TensorFlow".Welcome to...
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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 - 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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Fundamentals of Neural Networks - Forward Propagation in RNN
The forward propagation in an RNN makes a few assumptions: 1) We assume the hyperbolic tangent activation function for the hidden layer. 2) We assume that the output is discrete as if the RNN is used to predict words or characters. This...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet: Multiplicative Seasonality, Outliers, Non-Daily Data
In this video, we will work on multiplicative seasonality, outliers, and non-daily data with Prophet. This clip is from the chapter "Facebook Prophet" of the series "Data Science - Time Series Forecasting with Facebook Prophet in...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet in Code: Holidays and Exogenous Regressors
In this video, you will learn how to add holidays and exogenous regressors to our data. This clip is from the chapter "Facebook Prophet" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".In this...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet in Code: Fit, Forecast, Plot
In this video, you will learn how to fit, forecast, and plot our data. This clip is from the chapter "Facebook Prophet" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".In this section, we will...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet in Code: Data Preparation
In this video, we will work on data preparation with Prophet. This clip is from the chapter "Facebook Prophet" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".In this section, we will explore...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - Prophet: Code Preparation
In this video, we will go through the code structure for Prophet. This clip is from the chapter "Facebook Prophet" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".In this section, we will explore...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - Walk-Forward Validation
In this video, we will discuss the concept of walk-forward validation. This clip is from the chapter "Time Series Basics" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".In this section, we will...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - The Naive Forecast and the Importance of Baselines
In this video, we will discuss baselines and naïve forecast. This clip is from the chapter "Time Series Basics" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".In this section, we will talk about...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - Time Series Basics Section Introduction
In this video, we will get introduced to time series and understand some basics. This clip is from the chapter "Time Series Basics" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".In this section,...
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Data Science - Time Series Forecasting with Facebook Prophet in Python - Outline
In this video, we will understand the course learning approach and what is required to start with this course. Then we will also understand what is covered in this course. This clip is from the chapter "Welcome" of the series "Data...
Curated Video
Data Science - Time Series Forecasting with Facebook Prophet in Python - Introduction
In this video, we will introduce Facebook Prophet and understand the course learning objective. This clip is from the chapter "Welcome" of the series "Data Science - Time Series Forecasting with Facebook Prophet in Python".Welcome to the...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Where to Learn More SciPy
In this video, we will summarize what we have learnt about SciPy and understand where it can be applied. This clip is from the chapter "SciPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this...
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A Practical Approach to Timeseries Forecasting Using Python - RVT Models
This video explains the RVT (Resampling, Visualize, and Transform) models in time series in Python. This clip is from the chapter "Data Processing for Timeseries Forecasting" of the series "A Practical Approach to Timeseries Forecasting...
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A Practical Approach to Timeseries Forecasting Using Python - Stationarity Check - Project 3: Birth Rate Forecasting Using RNNs with Advanced Data Analysis
This video will do the stationarity check on your data. This clip is from the chapter "Project 3: Birth Rate Forecasting Using RNNs with Advanced Data Analysis" of the series "A Practical Approach to Timeseries Forecasting Using...
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A Practical Approach to Timeseries Forecasting Using Python - Data Manipulation
This video displays how to do data manipulation using a deep learning model. This clip is from the chapter "Project 3: Birth Rate Forecasting Using RNNs with Advanced Data Analysis" of the series "A Practical Approach to Timeseries...
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A Practical Approach to Timeseries Forecasting Using Python - Monthly Birth Distribution Plot and Birth Rate Plot
This video demonstrates the plotting of the monthly birth distribution and birth rate. This clip is from the chapter "Project 3: Birth Rate Forecasting Using RNNs with Advanced Data Analysis" of the series "A Practical Approach to...