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Python for Machine Learning - The Complete Beginners Course - Importing the Dataset
In this video, you will learn how to import the dataset. 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 - 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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Fundamentals of Machine Learning - Welcome
This video explains the contents of the course. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling, and Bootstrap as well as...
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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...
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Python for Machine Learning - The Complete Beginners Course - Logistic Regression Versus Linear Regression
In this video, we will cover logistic regression versus linear regression. This clip is from the chapter "Classification Algorithms: Logistic Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In...
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Fundamentals of Neural Networks - Logistic Regression
This video explains logistic regression and specifically if the target here is discrete or binary. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...
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Fundamentals of Neural Networks - Long Short-Term Memory (LSTM)
Long short-term memory (LSTM) is an artificial recurrent neural network (RNN) architecture used in the field of deep learning. LSTM networks are well-suited to classifying, processing, and making predictions based on time series data...
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Fundamentals of Machine Learning - Unsupervised Learning
This video explains unsupervised learning, Principal Components Analysis (PCA), and clustering. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical...