Instructional Video2:23
Curated Video

Python for Machine Learning - The Complete Beginners Course - Repeating the Process for Another Movie

Higher Ed
In this video, you will learn how to repeat the process for another movie. 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...
Instructional Video2:02
Curated Video

Python for Machine Learning - The Complete Beginners Course - Number of Predicted Clusters

Higher Ed
In this video, you will learn about the number of predicted clusters. 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.
Instructional Video1:14
Curated Video

Python for Machine Learning - The Complete Beginners Course - K-Nearest Neighbors (KNN) Using Python

Higher Ed
In this video, we will cover K-Nearest Neighbors (KNN) using Python. 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...
Instructional Video1:25
Curated Video

Python for Machine Learning - The Complete Beginners Course - K-Means Clustering Algorithm

Higher Ed
In this video, we will cover the K-Means clustering algorithm. 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.
Instructional Video1:16
Curated Video

Python for Machine Learning - The Complete Beginners Course - Jointplot of the Ratings and Number of Ratings

Higher Ed
In this video, you will learn how to make a Jointplot of the ratings and 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,...
Instructional Video1:22
Curated Video

Python for Machine Learning - The Complete Beginners Course - Introduction to Decision Trees

Higher Ed
In this video, we will have a quick introduction to decision trees. 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...
Instructional Video1:27
Curated Video

Python for Machine Learning - The Complete Beginners Course - Introduction - Recommender System

Higher Ed
In this video, we will have a quick introduction. 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.
Instructional Video1:03
Curated Video

Python for Machine Learning - The Complete Beginners Course - Implementation of K-Means Clustering in Python

Higher Ed
In this video, you will learn how to implement K-Means clustering in Python. 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...
Instructional Video1:29
Curated Video

Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Splitting Data into Train and Test Sets - Classification Algorithms: Logistic Regression

Higher Ed
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...
Instructional Video1:06
Curated Video

Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Splitting Data into Train and Test Sets - Classification Algorithms: Decision Tree

Higher Ed
In this video, you will learn how to split data into train and test sets. This clip is from the chapter "Classification Algorithms: Decision Tree" of the series "Python for Machine Learning - The Complete Beginner's Course".In this...
Instructional Video3:16
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

Higher Ed
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...
Instructional Video2:15
Curated Video

Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Results Prediction and Confusion Matrix - Classification Algorithms: Logistic Regression

Higher Ed
In this video, you will learn about results prediction and confusion matrix. This clip is from the chapter "Classification Algorithms: Logistic Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In...
Instructional Video2:37
Curated Video

Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Results Prediction and Accuracy

Higher Ed
In this video, you will learn about results prediction and accuracy. 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,...
Instructional Video1:58
Curated Video

Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Pre-Processing

Higher Ed
In this video, you will learn how to do pre-processing. 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...
Instructional Video2:04
Curated Video

Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Importing the KNN Classifier

Higher Ed
In this video, you will learn how to import the KNN classifier. 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,...
Instructional Video1:34
Curated Video

Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Importing the Dataset

Higher Ed
In this video, you will learn how to import the dataset. 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, we will...
Instructional Video2:57
Curated Video

Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Importing Libraries and Datasets - Recommender System

Higher Ed
In this video, you will learn how to import libraries and datasets. 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...
Instructional Video2:00
Curated Video

Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Importing Libraries and Datasets - Classification Algorithms: Logistic Regression

Higher Ed
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...
Instructional Video4:15
Curated Video

Python for Machine Learning - The Complete Beginners Course - Implementation in Python

Higher Ed
In this video, you will learn implementation in Python. 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.
Instructional Video1:24
Curated Video

Python for Machine Learning - The Complete Beginners Course - Grabbing the Ratings for Two Movies

Higher Ed
In this video, you will learn how to grab the ratings for two 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...
Instructional Video2:03
Curated Video

Python for Machine Learning - The Complete Beginners Course - Data Pre-Processing

Higher Ed
In this video, you will learn about data pre-processing. 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.
Instructional Video12:45
Packt

Fundamentals of Neural Networks - Gradient Descent

Higher Ed
This video explains the optimization problem using the gradient descent algorithm. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains artificial neural...
Instructional Video7:14
Packt

Fundamentals of Neural Networks - Backward Propagation

Higher Ed
This video explains backward propagation, which is defined by the optimization problem called the gradient descent algorithm. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This...
Instructional Video5:22
Curated Video

Deep Learning - Deep Neural Network for Beginners Using Python - Introduction to Gradient Descent

Higher Ed
In this video, we will get introduced to gradient descent. 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 learning.