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Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: Number of Neurons Versus Number of Layers
In this video, we will cover number of neurons versus number of layers. 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...
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Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Methods: Regression Practice with Python
In this video, we will cover regression 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 section,...
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CompTIA A+ Certification 220-1001: The Total Course - System Setup
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...
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Deep Learning CNN Convolutional Neural Networks with Python - Extending to Multiple Filters
This video explains extending to multiple filters. 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 in CNNs.
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Deep Learning CNN Convolutional Neural Networks with Python - DNN Architecture Solution
This is a solution video on DNN architecture. 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...
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Deep Learning CNN Convolutional Neural Networks with Python - Convolution and Pooling Details
This video showcases convolution and pooling details. 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 neural...
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Deep Learning CNN Convolutional Neural Networks with Python - CNN Example
This video demonstrates an example of a CNN. 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 neural network...
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Practical Data Science using Python - Unsupervised Learning - K-Means Clustering
This video introduces you to K-Means clustering. 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...
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Practical Data Science using Python - Support Vector Machine Project 1
This video explains the Support Vector Machine project. This clip is from the chapter "Advanced Classification Techniques – Support Vector Machine" of the series "Practical Data Science Using Python".This section explains advanced...
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Practical Data Science using Python - Support Vector Machine Predictions
This video explains Support Vector Machine predictions. This clip is from the chapter "Advanced Classification Techniques – Support Vector Machine" of the series "Practical Data Science Using Python".This section explains advanced...
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Practical Data Science using Python - Support Vector Machine Metrics and Polynomial SVM
This video explains Support Vector Machine metrics and polynomial SVM. This clip is from the chapter "Advanced Classification Techniques – Support Vector Machine" of the series "Practical Data Science Using Python".This section explains...
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Practical Data Science using Python - Starting with Python with Jupyter Notebook
This video explains how to start with Python with Jupyter Notebook. 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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Practical Data Science using Python - Regression Problems
This video explains regression problems. This clip is from the chapter "Machine Learning" of the series "Practical Data Science Using Python".This section explains machine learning.
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Practical Data Science using Python - Python User-Defined Functions
This video explains Python user-defined functions. 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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Practical Data Science using Python - Python Tuples
This video explains Python tuples. 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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Practical Data Science using Python - Python Sets 1
This video explains Python sets, which are unordered collection objects. 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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Practical Data Science using Python - Python Lists
This video explains Python lists. 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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Practical Data Science using Python - Python Lambda Functions
This video explains Python Lambda functions. 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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Practical Data Science using Python - Python Iterations 1
This video explains loop structures in Python. 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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Practical Data Science using Python - Principal Component Analysis - Computations 2
This video explains Eigenvalues and Eigenvectors. This clip is from the chapter "Dimensionality Reduction Using PCA" of the series "Practical Data Science Using Python".This section explains dimensionality reduction using PCA.
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Practical Data Science using Python - Principal Component Analysis - Computations 1
This video explains Principal Component Analysis – computations. This clip is from the chapter "Dimensionality Reduction Using PCA" of the series "Practical Data Science Using Python".This section explains dimensionality reduction using...
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Practical Data Science using Python - Pandas Series 2
This video explains the various methods of accessing a series of objects. 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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Practical Data Science using Python - Pandas DataFrame 5
This video explains the left outer join in dataframe. 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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Practical Data Science using Python - Pandas DataFrame 3
This video explains how to manipulate data within your dataframes. 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.