In this video, you will learn how to train the model.
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This clip is from the chapter "Classification Algorithms: Logistic Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In this...

In this video, you will learn how to split data into train and test sets.
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This clip is from the chapter "Multiple Linear Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In this...

In this video, you will learn about results prediction and confusion matrix.
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This clip is from the chapter "Classification Algorithms: K-Nearest Neighbors" of the series "Python for Machine Learning - The Complete Beginner's...

In this video, you will learn how to predict the test set results.
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This clip is from the chapter "Multiple Linear Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we...

In this video, you will learn how to import libraries and datasets.
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This clip is from the chapter "Simple Linear Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we...

In this video, you will learn how to encode categorical data.
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This clip is from the chapter "Classification Algorithms: Decision Tree" of the series "Python for Machine Learning - The Complete Beginner's Course".In this...

In this video, we will cover hierarchical clustering.<br<br/>/>

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.

In this video, you will learn about frequency distribution.
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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...

In this video, you will learn how to evaluate the performance of the regression model.
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This clip is from the chapter "Multiple Linear Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In...

In this video, we will cover density-based clustering.<br<br/>/>

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.

In this video, we will cover the decision tree structure.
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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,...

This video explains classification problems and performance metrics.<br<br/>/>

This clip is from the chapter "Machine Learning" of the series "Practical Data Science Using Python".This section explains machine learning.

This video focuses on image classification revisited.<br<br/>/>

This clip is from the chapter "YOLO" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on YOLO (You Only Live Once).

This video explains predicting whether it will rain or not and testing the predictions.
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This clip is from the chapter "Machine Learning with Python" of the series "Python in Practice - 15 Projects to Master Python".This...

In this video, we will cover RCNN.
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This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we...

In this video, we will cover image classification revisited.
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This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...

In this video, we will cover Scikit-Learn - trend analysis COVID19.
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This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory...

In this video, we will cover conditional probability in machine learning.
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This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine...

In this video, we will cover regression.

In this video, we will cover classification exercise.
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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...

In this video, we will cover Kernel PCA versus the rest.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory...

In this video, we will cover representational power and data utilization capacity of DNN.
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning...

In this video, we will cover machine learning model 1.
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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...

In this video, we will cover accuracy.
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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...