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Fundamentals of Neural Networks - Linear Regression
This video explains statistical machine learning, where you will start with the linear regression model. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...
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Fundamentals of Neural Networks - Course Outline
This video explains the course outline and what the course has to offer. This clip is from the chapter "Welcome" of the series "Fundamentals in Neural Networks".This section introduces you to the course and the course outline.
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Fundamentals of Neural Networks - Welcome Message
This video explains the need for taking up the course and introduces you to the author. This clip is from the chapter "Welcome" of the series "Fundamentals in Neural Networks".This section introduces you to the course and the course...
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Deep Learning - Crash Course 2023 - Applications of Data
In this video, we will look at the different actions we can perform on data to fulfil our requirements. This clip is from the chapter "Getting the Basics Right" of the series "Deep Learning - Crash Course 2023".In this section, you will...
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Deep Learning - Artificial Neural Networks with Tensorflow - Mean Squared Error
In this video, we will understand MSE (Mean Squared Error) from a probabilistic perspective. This clip is from the chapter "In-Depth: Loss Functions" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this...
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Deep Learning - Artificial Neural Networks with Tensorflow - The Geometrical Picture
In this video, we will understand the geometrical picture by understanding why neural networks are so important instead of a single neural network. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series...
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Deep Learning - Artificial Neural Networks with Tensorflow - Forward Propagation
In this video, you will learn about forward propagation as it is related to neural networks. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with...
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Deep Learning - Artificial Neural Networks with Tensorflow - How Does a Model "Learn"?
In this video, we will understand how a model "learns". This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section, we will cover a crash course...
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Deep Learning - Artificial Neural Networks with Tensorflow - The Neuron
In this video, we will understand the neuron. This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section, we will cover a crash course on...
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Deep Learning - Artificial Neural Networks with Tensorflow - Regression Notebook
In this video, we will understand linear regression by proving the Mosse law true. This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section,...
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Deep Learning - Artificial Neural Networks with Tensorflow - Code Preparation (Regression Theory)
In this video, we will take a crash course in linear regression for TensorFlow 2.0. This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section,...
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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 Prerequisites - Numpy, Matplotlib, and Pandas in Python - Machine Learning: Section Summary
In this video, we will summarize our learning from this section. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will cover...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Comparing Different Machine Learning Models
In this video, we will understand how all machine learning interfaces are the same. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Where to Learn More Matplotlib
In this video, we will understand from where we can learn more about Matplotlib. This clip is from the chapter "Matplotlib" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will...
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Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Where to Learn More NumPy
In this video, we will understand why we need NumPy and how it is applied in more advanced scenarios. This clip is from the chapter "NumPy" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this...
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Alteryx Advanced - Machine Learning Part 5
This video covers best practices for building and deploying ML models in Alteryx, providing examples of how machine learning can be used to solve specific business problems, customer segmentation, fraud detection, and churn prediction....
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A Practical Approach to Timeseries Forecasting Using Python - Trend Using Moving Average Filter
This video extracts the trend using the moving average filter. This clip is from the chapter "Data Processing for Timeseries Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section focuses on...
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Trend Using Moving Average Filter
This video extracts the trend using the moving average filter. This clip is from the chapter "Data Processing for Timeseries Forecasting" of the series "A Practical Approach to Timeseries Forecasting Using Python".This section focuses on...
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10 Popular Machine Learning Datasets, Explained
In this month's AI 101, we're taking a look at 10 popular datasets that you can use to improve your machine learning skills.
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R Programming for Statistics and Data Science - First Regression in R
This video explains first regression in R. This clip is from the chapter "Linear Regression Analysis" of the series "R Programming for Statistics and Data Science".This section explains linear regression analysis.
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AWS Certified Data Analytics Specialty 2021 – Hands-On - Classification Models
This video explains the various classification models in machine learning. This clip is from the chapter "Appendix - Machine Learning Topics for the Legacy AWS Certified Big Data Exam" of the series "AWS Certified Data Analytics...
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AWS Certified Data Analytics Specialty 2021 – Hands-On - (Exercise) Amazon Machine Learning, Part 2
This video is the second part of the two-part video that explains how to predict order quantities with a linear regression from Amazon machine learning. This clip is from the chapter "Appendix - Machine Learning Topics for the Legacy AWS...
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AWS Certified Data Analytics Specialty 2021 – Hands-On - (Exercise) Amazon Machine Learning, Part 1
This video is the first part of the two-part video that explains how to use Amazon's machine learning service to predict quantities for any given order and learn the importance of cleaning the data of outliers along the way. This clip is...