This video explains K-Means - data preparation and modelling.
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This clip is from the chapter "Unsupervised Learning - K-Means Clustering" of the series "Practical Data Science Using Python".This section explains unsupervised...

This video introduces you to Python.<br<br/>/>

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.

This video introduces you to Exploratory Data Analysis.<br<br/>/>

This clip is from the chapter "Exploratory Data Analysis (EDA)" of the series "Practical Data Science Using Python".This section explains Exploratory Data Analysis.

This video explains how to apply binning on funded amount.<br<br/>/>

This clip is from the chapter "Exploratory Data Analysis (EDA)" of the series "Practical Data Science Using Python".This section explains Exploratory Data Analysis.

This video explains decision tree - hyperparameter tuning.
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This clip is from the chapter "Classification using decision trees" of the series "Practical Data Science Using Python".This section explains classification using...

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 is a solution video on BiasTerm.
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This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of the deep...

This video talks about BiasTerm.
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This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of the deep...

In this video, we will discuss about the vectorized form of linear equation.
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This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this...

In this video, we will discuss about the linear equation.
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This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover...

In this video, we will cover number of neurons versus number of layers.
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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...

In this video, we will cover regression practice with Python.
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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...

A small system-setup program built into the motherboard firmware enables techs to configure low-level features and options for the system’s hardware. A good tech needs to know how to access and use system setup on any computer. This clip...

This video explains extending to multiple filters.
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This clip is from the chapter "Gradient Descent in CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on gradient descent...

This is a solution video on DNN architecture.
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This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of...

This video showcases convolution and pooling details.
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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...

This video demonstrates an example of a CNN.
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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 deep...

This video introduces you to K-Means clustering.
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This clip is from the chapter "Unsupervised Learning - K-Means Clustering" of the series "Practical Data Science Using Python".This section explains unsupervised learning -...

This video explains the Support Vector Machine project.
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This clip is from the chapter "Advanced Classification Techniques – Support Vector Machine" of the series "Practical Data Science Using Python".This section explains...

This video explains Support Vector Machine predictions.
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This clip is from the chapter "Advanced Classification Techniques – Support Vector Machine" of the series "Practical Data Science Using Python".This section explains...

This video explains Support Vector Machine metrics and polynomial SVM.
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This clip is from the chapter "Advanced Classification Techniques – Support Vector Machine" of the series "Practical Data Science Using Python".This...

This video explains how to start with Python with Jupyter Notebook.<br<br/>/>

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.

This video explains regression problems.<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 explains Python user-defined functions.<br<br/>/>

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.