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Python In Practice - 15 Projects to Master Python - Matplotlib Library
This video explains the Matplotlib library. This clip is from the chapter "Advanced Level: Data Science" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on the advanced level: data science.
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Python In Practice - 15 Projects to Master Python - Age Calculator (Total Days and Seconds Lived)
This video helps to create the Age Calculator (total days and seconds lived). This clip is from the chapter "Applications with Python GUI" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on...
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Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Methods: Classification
In this video, we will cover classification. This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will cover...
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Fetch()ing Data in JavaScript
Often JavaScript apps interact with other sites and services to obtain data, like maps or transit data. In this video, Mark will show you how to use fetch() to retrieve data from other apps.
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pandas for Python - A Quick Guide - Introduction to Pandas Data Frame
In this lesson, you will learn about the second primary data structure called Pandas Data Frame, which is a tabular data structure. We will understand the data frame and its operability. We will also learn about the Pandas dictionary....
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Google Apps Script - Exercise Coding Projects - Sending Emails Messages Thread Updates with GmailApp Gmail Service Functions
This video explains sending emails messages thread updates with GmailApp Gmail service functions. This clip is from the chapter "Google Workspace Services: Docs, Calendar, Drive, Forms, Gmail, and Sheets Slides" of the series "Google...
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Python for Machine Learning - The Complete Beginners Course - Defining the Classifier
In this video, you will learn how to define the classifier. This clip is from the chapter "Clustering" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, you will learn about clustering.
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Practical Data Science using Python - Pandas Series 1
This video explains the Pandas series. This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.
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Reinforcement Learning and Deep RL Python Theory and Projects - RL Versus Other ML Frameworks
This video demonstrates the difference between RL and other ML frameworks. This clip is from the chapter "Motivation and Applications" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses...
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Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Methods: Clustering
In this video, we will cover clustering. This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will cover...
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Business Intelligence with Microsoft Power BI - with Material - Creating a Stacked Column Chart in Power BI
This video demonstrates how to create a stacked column chart in Power BI. This clip is from the chapter "Basic Charts in Power BI" of the series "Business Intelligence with Microsoft Power BI - with Material".This section focuses on...
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Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: DNN Training Parameters
In this video, we will cover DNN training parameters. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section,...
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Data Science and Machine Learning (Theory and Projects) A to Z - Bokeh for Interactive Plotting: Bokeh Multiplots Grid Plot Solution
In this video, we will cover Bokeh Multiplots grid plot solution. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory and...
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Deep Learning - Deep Neural Network for Beginners Using Python - Final Project Part 1
In this first video, we will understand our project goals. Next, we will explore the Iris dataset, then learn how to update and split the data. This clip is from the chapter "Final Project" of the series "Deep Learning - Deep Neural...
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Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Classification Training Process and Prediction Probabilities
In this video, we will cover classification training process and prediction probabilities. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and...
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Data Science and Machine Learning (Theory and Projects) A to Z - Process of Learning from Data: Supervised Learning
In this video, we will cover supervised learning. This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will...
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Kubernetes for the Absolute Beginners - Hands-On - Solution - ReplicaSets
In this video, we will learn about ReplicaSets. This clip is from the chapter "Kubernetes Concepts - Pods, ReplicaSets, Deployments" of the series "Kubernetes for the Absolute Beginners - Hands-On".In this section, we will work with Pods...
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Kubernetes for the Absolute Beginners - Hands-On - Demo - Deployments
In this video, we will see a demonstration on Deployments. This clip is from the chapter "Kubernetes Concepts - Pods, ReplicaSets, Deployments" of the series "Kubernetes for the Absolute Beginners - Hands-On".In this section, we will...
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Master Microservices with Spring Boot and Spring Cloud - Step 18 – Clean Up Kubernetes YAML for Microservices
This video explains how to clean up Kubernetes YAML for microservices. This clip is from the chapter "Kubernetes with Microservices using Docker, Spring Boot, and Spring Cloud – V2" of the series "Master Microservices with Spring Boot...
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pandas for Python - A Quick Guide - Reading Data from Files
After learning about the Data Frame, we will look into how to read .csv files, a common datasheet. You will also learn about the pd.read_csv() call function. The author provides learning datasets and how to solve issues by correcting the...
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pandas for Python - A Quick Guide - DataFrame Manipulation
Here, you will learn how to rename columns in a data frame. We will look at adding columns to a data frame, concatenating a data frame, and removing columns with the drop method. This clip is from the chapter "Data Preprocessing" of the...
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pandas for Python - A Quick Guide - Data Transformation
In this video, you will learn how to convert String data to a category and discretize a continuous variable and convert it into a categorical feature. This clip is from the chapter "Data Preprocessing" of the series "Pandas for Beginners...
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Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Encoding Categorical Data - Classification Algorithms: Decision Tree
In this video, you will learn how to encode categorical data. This clip is from the chapter "Classification Algorithms: Decision Tree" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will...
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Practical Data Science using Python - K-Means - Model Optimization
This video explains K-Means - model optimization. This clip is from the chapter "Unsupervised Learning - K-Means Clustering" of the series "Practical Data Science Using Python".This section explains unsupervised learning - K-Means...