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Practical Data Science using Python - Linear Regression - Cost Functions and Gradient Descent
This video explains linear regression - cost functions and gradient descent. 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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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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Practical Data Science using Python - Introduction to Deep Learning
This video introduces you to deep learning. This clip is from the chapter "Introduction to Deep Learning" of the series "Practical Data Science Using Python".This section explains deep learning.
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Deep Learning CNN Convolutional Neural Networks with Python - Rprop and Momentum
This video explains Rprop and momentum. 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 neural...
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Reinforcement Learning and Deep RL Python Theory and Projects - DNN Implementation Batch Gradient Descent
This video explains about the implementation of batch gradient descent. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on...
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Reinforcement Learning and Deep RL Python Theory and Projects - DNN Gradient Descent Stochastic Batch Minibatch
This video explains about the gradient descent Stochastic Batch Minibatch. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on...
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Deep Learning - Deep Neural Network for Beginners Using Python - Gradient Step
In this video, we will break down the gradient step and learn how to update weight and biases. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section,...
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Python for Machine Learning - The Complete Beginners Course - Visualizing the Dataset
In this video, you will learn how to visualize 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 - Sorting by Title and Rating
In this video, you will learn how to sort by title and rating. 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...
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Python for Machine Learning - The Complete Beginners Course - Setting Up Python
In this video, you will learn how to set up Python. 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 - Managing Directories in Jupyter Notebook
In this video, you will learn how to manage directories in 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...
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Python for Machine Learning - The Complete Beginners Course - Introduction - Classification Algorithms: Logistic Regression
In this video, we will have a quick introduction. This clip is from the chapter "Classification Algorithms: Logistic 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 - Implementation in Python: Training the Model
In this video, you will learn how to train the model. This clip is from the chapter "Classification Algorithms: Logistic Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will...
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Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Splitting Data into Train and Test Sets - Multiple Linear Regression
In this video, you will learn how to split data into train and test sets. 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...
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Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Results Prediction and Confusion Matrix - Classification Algorithms: K-Nearest Neighbors
In this video, you will learn about results prediction and confusion matrix. This clip is from the chapter "Classification Algorithms: K-Nearest Neighbors" of the series "Python for Machine Learning - The Complete Beginner's Course".In...
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Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Predicting the Test Set Results
In this video, you will learn how to predict the test set results. 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 - Implementation in Python: Importing Libraries and Datasets - Simple Linear Regression
In this video, you will learn how to import libraries and datasets. 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 - Implementation in Python: Encoding Categorical Data - Classification Algorithms: Decision Tree
In this video, you will learn how to encode categorical data. 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 will...
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Python for Machine Learning - The Complete Beginners Course - Hierarchical Clustering
In this video, we will cover hierarchical clustering. 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 - Frequency Distribution
In this video, you will learn about frequency distribution. 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...
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Python for Machine Learning - The Complete Beginners Course - Evaluating the Performance of the Regression Model
In this video, you will learn how to evaluate the performance of the regression model. This clip is from the chapter "Multiple Linear Regression" 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 - Decision Tree Structure
In this video, we will cover the decision tree structure. 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 will...
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Practical Data Science using Python - Decision Tree - Hyperparameter Tuning
This video explains decision tree - hyperparameter tuning. This clip is from the chapter "Classification using decision trees" of the series "Practical Data Science Using Python".This section explains classification using decision trees.
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Deep Learning CNN Convolutional Neural Networks with Python - Gradient Descent
This video explains about 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 overview of the deep neural...