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Reinforcement Learning and Deep RL Python Theory and Projects - Moving Avg Implemented
This video explains the implementation of Moving Avg. This clip is from the chapter "Deep RL DQN" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on deep RL DQN.
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Reinforcement Learning and Deep RL Python Theory and Projects - Introduction to Project (Cart pole)
This video provides an introduction to the project (cart pole). This clip is from the chapter "Deep RL DQN" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on deep RL DQN.
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Reinforcement Learning and Deep RL Python Theory and Projects - Implementing Random Solution
This video explains implementing the Random solution. This clip is from the chapter "Naive Random Solution" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the Naive Random solution.
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Intro To Python Programming - Function Returns in Python
To make functions very useful, we'll have our functions return values to the function call in this course segment.
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Business Intelligence with Microsoft Power BI - with Material - Aggregation in a Table
This video explains how to perform aggregation in a table. This clip is from the chapter "Tables and Matrix in Power BI" of the series "Business Intelligence with Microsoft Power BI - with Material".This section provides an introduction...
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Data Structures and Algorithms The Complete Masterclass - Bubble Sort Complexity
This video focuses on bubble sort complexity. This clip is from the chapter "Algorithm: Sorting Elementary" of the series "Data Structures and Algorithms: The Complete Masterclass".This section introduces you to sorting elementary.
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Data Science and Machine Learning (Theory and Projects) A to Z - Python for Data Science: NumPy Pandas and Matplotlib (Part 5)
In this video, we will cover NumPy Pandas and Matplotlib (part 5).
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Business Intelligence with Microsoft Power BI - with Material - Grouping in Power BI
This video explains the concept of grouping in Power BI. This clip is from the chapter "Important Topics in Power BI" of the series "Business Intelligence with Microsoft Power BI - with Material".This section covers the most important...
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Finding the Average from a Grouped Frequency Table
This video provides a step-by-step guide for how to estimate the mean from a grouped frequency data. The example problem is from IGCSE A June 2018 paper 1H Q1.
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Blood Pressure and Mean Arterial Pressure
In this episode, Leslie first defines what blood pressure is and shows how it varies in the blood vessels throughout the body. He then shows what Mean Arterial Pressure is and goes into two different ways to calculate it.
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REST APIs with Flask and Python - Loops in Python
This video explains the two different types of loops used in Python: the for loop and while loop statements. This clip is from the chapter "A Full Python Refresher" of the series "REST APIs with Flask and Python".This section covers the...
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PySpark and AWS: Master Big Data with PySpark and AWS - Finding Average-1
In this session, we will try to calculate the average of a given dataset. We will start by writing a transformation flow that will take the CSV data file as input and provide us with the average of the movie ratings from the dataset....
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CompTIA A+ Certification 220-1001: The Total Course - Advanced Router Configuration
Even the most basic router has setting beyond the basic setup. Protocols such as Quality of Service, Universal Plug and Play, and Simple Network Management Protocol give extra features to enhance the capabilities of your router. This...
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pandas for Python - A Quick Guide - Handling Missing Values and Duplicates
During the data analysis, significant time is spent on data cleaning and transformation. Pandas provides the tool to handle such data. In this video, you will learn about handling missing data and duplicates. You will learn to eliminate...
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Arduino for Beginners - 2022 Complete Course - Activity 20 - Solution
This video explains activity 20 - solution. This clip is from the chapter "Photoresistor- Measure Luminosity" of the series "Arduino for Beginners - 2022 Complete Course".This section explains measuring luminosity.
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Deep Learning CNN Convolutional Neural Networks with Python - Implementing Convolution in Python Revisited
This video helps in implementing convolution in Python revisited. This clip is from the chapter "Deep Neural Network Architecture" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the...
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Deep Learning CNN Convolutional Neural Networks with Python - Image Sharpening
This video explains about image sharpening. This clip is from the chapter "Image Processing" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on image processing.
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Deep Learning CNN Convolutional Neural Networks with Python - Image Blurring 2
This video explains about image blurring 2. This clip is from the chapter "Image Processing" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on image processing.
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Deep Learning CNN Convolutional Neural Networks with Python - Converting an Image to Grayscale in Python
This video explains converting an image to grayscale in Python. This clip is from the chapter "Image Processing" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on image processing.
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Python for Deep Learning - Build Neural Networks in Python - Pooling Layer
In this video, you will learn about Pooling layer. This clip is from the chapter "Convolutional Neural Networks (CNN)" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we will cover...
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Reinforcement Learning and Deep RL Python Theory and Projects - DNN What Is Loss Function
This video demonstrates about the Loss function. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the DNN foundation for...
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Python In Practice - 15 Projects to Master Python - Reviews and Ratings Data to Create the Model
This video explains the reviews and ratings data to create the model. This clip is from the chapter "Rating Bot" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on the Rating Bot.
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Python In Practice - 15 Projects to Master Python - Generating the Final Report
This video explains generating the final report. This clip is from the chapter "Data Science Project 1" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on data science project 1.
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Machine Learning Random Forest with Python from Scratch - Reading and Manipulating Dataset
Previously, you learned how to read a dataset; now, we will look at manipulating the data and using a sample dataset in our code. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest...