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Practical Data Science using Python - Linear Regression - Feature Scaling and Cost Functions
This video explains linear regression - feature scaling and cost functions. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
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Deep Learning CNN Convolutional Neural Networks with Python - DropOut, Early Stopping and Hyperparameters
This video talks about DropOut, early stopping, and hyperparameters. 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...
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Deep Learning CNN Convolutional Neural Networks with Python - Batch MiniBatch Stochastic Gradient Descent
This video explains batch MiniBatch stochastic gradient descent. 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...
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Python for Machine Learning - The Complete Beginners Course - Introduction to Classification
In this video, we will have a quick introduction to classification. 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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Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: Drop Out Early Stopping Hyperparameters
In this video, we will cover drop out early stopping hyperparameters.
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Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Gradient Descent Exercise Solution
In this video, we will cover DNN gradient descent 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...
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Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: Why DNNs in Machine Learning
In this video, we will understand why DNNs in machine learning. 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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Python for Machine Learning - The Complete Beginners Course - What Is Jupyter?
In this video, we will understand Jupyter Notebook. This clip is from the chapter "Optional: Setting Up Python and ML Algorithms Implementation" 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 - Steps of the Elbow Method
In this video, we will cover the steps of the elbow method. 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 - Root Mean Squared Error in Python
In this video, we will cover root mean squared error in Python. 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 will cover...
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Python for Machine Learning - The Complete Beginners Course - K-Nearest Neighbors Algorithm
In this video, we will cover the K-Nearest Neighbors algorithm. 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 section,...
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Python for Machine Learning - The Complete Beginners Course - Introduction to Regression
In this video, we will have a quick introduction to regression. 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 will cover simple...
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Python for Machine Learning - The Complete Beginners Course - Implementing Python in Jupyter
In this video, you will learn how to implement Python in Jupyter. This clip is from the chapter "Optional: Setting Up Python and ML Algorithms Implementation" of the series "Python for Machine Learning - The Complete Beginner's...
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Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Importing Libraries and Datasets - Classification Algorithms: Decision Tree
In this video, you will learn how to import libraries and datasets. 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 - Implementation in Python: Exploring the Dataset
In this video, we will first explore our dataset, then learn how to import and read our dataset in Python. This clip is from the chapter "Multiple Linear Regression" of the series "Python for Machine Learning - The Complete Beginner's...
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Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Encoding Categorical Data - Multiple Linear Regression
In this video, you will learn how to encode categorical data. 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 will cover multiple...
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Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Distribution of the Data
In this video, you will learn distribution of the data. 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 will cover simple linear...
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Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Creating a Linear Regression Object
In this video, you will learn how to create a linear regression object. 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 will cover...
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Python for Machine Learning - The Complete Beginners Course - How Does Linear Regression Work?
In this video, we will understand how linear regression works. 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 will cover simple...
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Python for Machine Learning - The Complete Beginners Course - Histogram Showing Number of Ratings
In this video, you will learn how a histogram shows the 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, we will cover the...
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Python for Machine Learning - The Complete Beginners Course - Filtering Out Movies
In this video, you will learn how to filter out 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 recommender system.
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Python for Machine Learning - The Complete Beginners Course - Elbow Method
In this video, we will cover the elbow method. 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 - 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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Python for Machine Learning - The Complete Beginners Course - Anaconda Installation Windows Mac and Ubuntu
In this video, we will work on Anaconda installation for Windows, Mac, and Ubuntu. This clip is from the chapter "Optional: Setting Up Python and ML Algorithms Implementation" of the series "Python for Machine Learning - The Complete...