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Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Model Performance Metrics: The Accuracy
In this video, we will cover accuracy. 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 machine...
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Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Methods: Classification Practice with Python
In this video, we will cover classification practice with Python. 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...
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Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Regression Exercise Solution
In this video, we will cover regression exercise solution. 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...
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Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Regression Exercise
In this video, we will cover regression exercise. 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, we...
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Python for Deep Learning - Build Neural Networks in Python - Introduction - Implementation of ANN in Python
In this video, we will have a quick Introduction to this section. This clip is from the chapter "Implementation of ANN in Python" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, you will...
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Python for Machine Learning - The Complete Beginners Course - Correlation Between the Most-Rated Movies
In this video, you will learn about correlation between the most-rated movies. This clip is from the chapter "Recommender System" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will cover...
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Python for Machine Learning - The Complete Beginners Course - 3D Visualization of the Predicted Values
In this video, we will cover 3D visualization of the predicted values. 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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Python for Machine Learning - The Complete Beginners Course - 3D Visualization of the Clusters
In this video, we will cover 3D visualization of the clusters. 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 - Naive Bayes Probability Model - Introduction
This video introduces you to the Naive Bayes probability model. This clip is from the chapter "Naive Bayes Probability Model" of the series "Practical Data Science Using Python".This section explains Naive Bayes probability model –...
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Practical Data Science using Python - Decision Tree - Model Concept
This video introduces you to decision tree - model concept. This clip is from the chapter "Classification using decision trees" of the series "Practical Data Science Using Python".This section explains classification using decision trees.
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Practical Data Science using Python - Decision Tree - Gini Index and Entropy Measures
This video explains decision tree - Gini Index and Entropy Measures. This clip is from the chapter "Classification using decision trees" of the series "Practical Data Science Using Python".This section explains classification using...
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Python for Machine Learning - The Complete Beginners Course - What Is Entropy?
In this video, we will understand entropy. 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 cover...
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Python for Machine Learning - The Complete Beginners Course - Sorting Values
In this video, you will learn about sorting values. This clip is from the chapter "Recommender System" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will cover the recommender system.
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Python for Machine Learning - The Complete Beginners Course - Sorting the Most-Rated Movies
In this video, you will learn how to sort the most-rated movies. This clip is from the chapter "Recommender System" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will cover the...
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Python for Machine Learning - The Complete Beginners Course - Repeating the Process for Another Movie
In this video, you will learn how to repeat the process for another movie. This clip is from the chapter "Recommender System" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will cover the...
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Python for Machine Learning - The Complete Beginners Course - Number of Predicted Clusters
In this video, you will learn about the number of predicted clusters. 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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Python for Machine Learning - The Complete Beginners Course - K-Nearest Neighbors (KNN) Using Python
In this video, we will cover K-Nearest Neighbors (KNN) using Python. This clip is from the chapter "Classification Algorithms: K-Nearest Neighbors" of the series "Python for Machine Learning - The Complete Beginner's Course".In this...
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Python for Machine Learning - The Complete Beginners Course - K-Means Clustering Algorithm
In this video, we will cover the K-Means clustering algorithm. 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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Python for Machine Learning - The Complete Beginners Course - Jointplot of the Ratings and Number of Ratings
In this video, you will learn how to make a Jointplot of the ratings and number of ratings. This clip is from the chapter "Recommender System" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section,...
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Python for Machine Learning - The Complete Beginners Course - Introduction to Decision Trees
In this video, we will have a quick introduction to decision trees. 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...
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Python for Machine Learning - The Complete Beginners Course - Introduction - Recommender System
In this video, we will have a quick introduction. This clip is from the chapter "Recommender System" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will cover the recommender system.
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Python for Machine Learning - The Complete Beginners Course - Implementation of K-Means Clustering in Python
In this video, you will learn how to implement K-Means clustering in Python. 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...
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Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Splitting Data into Train and Test Sets - Classification Algorithms: Logistic Regression
In this video, you will learn how to split data into train and test sets. This clip is from the chapter "Classification Algorithms: Logistic Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In this...
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Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Splitting Data into Train and Test Sets - Classification Algorithms: Decision Tree
In this video, you will learn how to split data into train and test sets. This clip is from the chapter "Classification Algorithms: Decision Tree" of the series "Python for Machine Learning - The Complete Beginner's Course".In this...