Science Buddies
Understanding Thresholds in Machine Learning
Join Tracy as she explores the concept of thresholds in machine learning, focusing on their critical role in binary classification tasks. Learn how activation functions and thresholds determine the classification of data points, using a...
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Deep Learning - Recurrent Neural Networks with TensorFlow - Stock Return Predictions Using LSTMs (Part 3)
In this video, we will make use of all the data and try to predict whether the price will go up or down. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning -...
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Deep Learning - Crash Course 2023 - Types of Problems
In this video, we will have a look at different types of problems like multi-class classification and regression. This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section,...
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Deep Learning - Crash Course 2023 - Common Network Configuration
In this video, we will look at the common network configuration that we will be using whenever performing the common deep learning task. This clip is from the chapter "Activation Functions in Deep Learning Neural Networks" of the series...
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Deep Learning - Crash Course 2023 - Program in Python
In this video, we will build a program in Python to implement Sigmoid Neuron. This clip is from the chapter "Sigmoid Neuron" of the series "Deep Learning - Crash Course 2023".In this section, we will begin our journey with Sigmoid Neuron.
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Deep Learning - Crash Course 2023 - Sigmoid Neuron Data
In this video, we will explore our data for Sigmoid Neuron. This clip is from the chapter "Sigmoid Neuron" of the series "Deep Learning - Crash Course 2023".In this section, we will begin our journey with Sigmoid Neuron.
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Deep Learning - Crash Course 2023 - Applications of Data
In this video, we will look at the different actions we can perform on data to fulfil our requirements. This clip is from the chapter "Getting the Basics Right" of the series "Deep Learning - Crash Course 2023".In this section, you will...
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Deep Learning - Artificial Neural Networks with Tensorflow - Multiclass Classification
In this video, you will learn about multiclass classification. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section, we will...
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Deep Learning - Artificial Neural Networks with Tensorflow - Forward Propagation
In this video, you will learn about forward propagation as it is related to neural networks. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with...
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Deep Learning - Artificial Neural Networks with Tensorflow - Artificial Neural Networks Section Introduction
In this video, we will get introduced to artificial neural networks. This clip is from the chapter "Feedforward Artificial Neural Networks" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section, we...
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Deep Learning - Convolutional Neural Networks with TensorFlow - Transfer Learning Code (Part 1)
In this video, we will dive into action and look at codes for transfer learning with data augmentation. This clip is from the chapter "Transfer Learning for Computer Vision" of the series "Deep Learning - Convolutional Neural Networks...
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AWS Certified Data Analytics Specialty 2021 – Hands-On - Classification Models
This video explains the various classification models in machine learning. This clip is from the chapter "Appendix - Machine Learning Topics for the Legacy AWS Certified Big Data Exam" of the series "AWS Certified Data Analytics...
Fun Robotics
Binary vs Multiclass Classification
Explains the difference between binary and multiclass classification problem.
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Create a computer vision system using decision tree algorithms to solve a real-world problem : Logistic Regression
From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold cross-validation....
Fun Robotics
Diabetes Classification Model
Training and testing a classification model to predict the patient's diabetic status.
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Describe a neural network : Neural Network for Binary Classifications
From the section: Introduction to Artificial Neural Networks (ANN). This section introduces Artificial Neural Networks. You will learn about Neural Network for Binary Classifications, Neural Network with PCA for Binary Classifications,...
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Data Science and Machine Learning with R - Introduction to Logistic Regression
This video introduces you to logistic regression. This clip is from the chapter "Logistic Regression" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section explains logistic regression.
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Predictive Analytics with TensorFlow 7.2: Fine-tuning DNN Hyperparameters
First, we will see DNN performance analysis. Next, we will tune the DNN hyperparameters. • Do DNN performance analysis • Tune the DNN hyperparameters
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Create a computer vision system using decision tree algorithms to solve a real-world problem : Building Deep Neural Networks with Keras, Normalization, and One-Hot Encoding.
From the section: Deep Learning and Tensorflow: Part 1. In this section, we’ll talk about what Deep Learning is, and how TensorFlow works at a low level. Deep Learning and Tensorflow: Part 1: Building Deep Neural Networks with Keras,...
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AWS Certified Data Analytics Specialty 2021 - Hands-On! - Classification Models
This video explains the various classification models in machine learning. This clip is from the chapter "Appendix-Machine Learning Topics for the Amazon Web Services (AWS) Certified Big Data Exam" of the series "AWS Certified Data...
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Deep Learning - Deep Neural Network for Beginners Using Python - Multi-Class Classification
In this video, you will learn about multi-class classification. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep...
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Practical Data Science using Python - Decision Tree - Gini Index and Entropy Measures
This video explains decision tree - Gini Index and Entropy Measures. This clip is from the chapter "Classification using decision trees" of the series "Practical Data Science Using Python".This section explains classification using...
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Deep Learning - Deep Neural Network for Beginners Using Python - Multi-Class Problem
In this video, we will cover multi-class classification. 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 the basics of...
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Deep Learning - Deep Neural Network for Beginners Using Python - Multi-Class Cross Entropy
In this video, you will learn about multi-class cross entropy. 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 the...