Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Methods: Classification Practice with Python
In this video, we will cover classification 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Cross Validation
In this video, we will cover machine learning cross validation. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Models and Optimization: Machine Learning Model 3
In this video, we will cover machine learning model 3. 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, we...
Global Ethics Solutions
Good Ethics is Good Business - Part 3-Shades of Gray Thinking
Take back your ethical effectiveness and get your priorities straight by learning real and specific problems that prevent people from behaving ethically and then learn practical steps to overcome them. This is the third part of a...
Curated Video
No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Predicting Data and Validating Accuracy
In this video, you will learn how to predict data and validate the accuracy. This clip is from the chapter "Project 2 - Spam SMS Detection" of the series "No-Code Machine Learning Using Amazon AWS SageMaker Canvas".In this section, we...
Curated Video
No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Set Up Data in S3 Buckets for Use in SageMaker
In this video, you will learn how to set up data in S3 Buckets for use in SageMaker. This clip is from the chapter "Setup" of the series "No-Code Machine Learning Using Amazon AWS SageMaker Canvas".In this section, you will learn how to...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Practical Tips
This video showcases some practical tips. This clip is from the chapter "Transfer Learning" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on transfer learning.
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN PyTorch CIFAR10 Example
This video talks about the example of DNN PyTorch CIFAR10. 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 the DNN...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Implementation Stochastic Gradient Descent
This video explains about the implementation of stochastic 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...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Splitting Data into Train and Test Sets - Classification Algorithms: Logistic Regression
In this video, you will learn how to split data into train and test sets. This clip is from the chapter "Classification Algorithms: Logistic Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In this...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Splitting Data into Train and Test Sets - Classification Algorithms: K-Nearest Neighbors
In this video, you will learn how to split data into train and test sets. 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...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Importing Libraries and Datasets - Classification Algorithms: Logistic Regression
In this video, you will learn how to import libraries and datasets. This clip is from the chapter "Classification Algorithms: Logistic Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In this...
Curated Video
Python In Practice - 15 Projects to Master Python - Testing the Performance of the Model
This video helps in testing the performance of the model. This clip is from the chapter "Machine Learning with Python" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on machine learning with Python.
Curated Video
Python In Practice - 15 Projects to Master Python - Asking the Model to Make Predictions - Machine Learning with Python
This video talks about asking the model to make predictions. This clip is from the chapter "Machine Learning with Python" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on machine learning with...
Packt
Fundamentals of Neural Networks - Lab 4 - Transfer Learning
This video demonstrates transfer learning. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks where you will start with image...
Packt
Fundamentals of Neural Networks - Lab 2 - Introduction to CNN
This video demonstrates the architecture and how to carry out the code using TensorFlow in collab and building a convolutional neural network. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in...
Packt
Fundamentals of Neural Networks - Lab 1 - RNN in Text Classification
This video demonstrates how to design a recurrent neural network or RNN. This clip is from the chapter "Recurrent Neural Networks" of the series "Fundamentals in Neural Networks".This section explains NLP, we will start with recurrent...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Splitting the Data (NN Implementation)
In this video, you will learn how to implement splitting the data in our neural network. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Random Restart Solution
In this video, we will apply random restart as a possible solution to our local minima problem. This clip is from the chapter "Optimizations" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section,...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - L1 and L2 Regularization
In this video, we will discuss L1 and L2 regularization. This clip is from the chapter "Optimizations" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover optimizations of a...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Final Project Part 4
In this part, we will work on predict, accuracy, and neural network functions. This clip is from the chapter "Final Project" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this last section, we will be...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Final Project Part 3
In this part, we will work on the sigmoid, backpropagation, and train functions. This clip is from the chapter "Final Project" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this last section, we will...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Early Stopping
In this video, we will look at a possible solution, which is early stopping. This clip is from the chapter "Optimizations" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Introduction to Course
In this video, we will get introduced to course learning objectives. This clip is from the chapter "Introduction" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".Welcome to the course. In this first...