Curated Video
Machine Learning Random Forest with Python from Scratch - Classification versus Regression
Let's learn about the three modes of machine learning: classification, regression, and clustering. This clip is from the chapter "Introduction to Machine Learning" of the series "Machine Learning: Random Forest with Python from...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Python Libraries for Machine Learning
In this video, we will cover Python libraries for machine learning. 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...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Example of KNN
In this video, we will cover an example of KNN. 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 cover...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Collaborative Filtering in Recommender Systems
In this video, you will learn about collaborative filtering in recommender systems. 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...
Packt
Configuring Jenkin Settings and Workspace
This video demonstrates how to configure Jenkins and the workspace. This clip is from the chapter "Framework Part 4 - Jenkins (Continuous Integration Tool)" of the series "Selenium WebDriver with Java - Basics to Advanced and...
The Business Professor
Breaking Down Mixed Costs (Part 3) - Managerial Accounting
This video explains how to use the least squared method to break down mixed costs in Managerial Accounting.
Curated Video
REST API Automation Testing from Scratch - REST Assured Java - Setting Up the Parameterized Jenkin Job for the API Framework with Multiple Tags
This video explains how to set up the parameterized Jenkin Job for the API framework with multiple tags. This clip is from the chapter "Cucumber BDD API Framework Development from Scratch - 2" of the series "REST API Automation Testing...
Curated Video
Probability Statistics - The Foundations of Machine Learning - Bayesian Inference Code Through PyMC3
In this video, we will cover Bayesian inference code through PyMC3. This clip is from the chapter "Applications to the Real World" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we will...
Curated Video
Machine Learning Random Forest with Python from Scratch - Concluding remarks
In this video, we will look at the concluding remarks of the course and recap what we learned through the course, briefly. This clip is from the chapter "Conclusion" of the series "Machine Learning: Random Forest with Python from...
Curated Video
Machine Learning Random Forest with Python from Scratch - Clustering
In this lesson, you will learn about an unsupervised branch of learning called clustering, which involves grouping elements with no labels to classify them. This clip is from the chapter "Introduction to Machine Learning" of the series...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Understanding Multiple Linear Regression
In this video, we will understand multiple linear regression. 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...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Thank You
Thank you! Happy learning! This clip is from the chapter "Conclusion" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will summarize our learning.
Curated Video
Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Training the Model on the Training Set
In this video, you will learn how to train the model on the training set. 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...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Content-Based Recommender System
In this video, you will learn about the content-based recommender system. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Supervised Learning
In this video, we will cover supervised learning. 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 section, we...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Use Cases
In this video, we will cover use cases. 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.
Curated Video
Python for Machine Learning - The Complete Beginners Course - Sorting the Data by Correlation
In this video, you will learn how to sort the data by correlation. 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...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Line Representation
In this video, we will cover line representation. 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 regression.
Curated Video
Python for Machine Learning - The Complete Beginners Course - Introduction to Clustering
In this video, we will have a quick introduction to 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.
Curated Video
Python for Machine Learning - The Complete Beginners Course - Introduction - Optional: Setting Up Python and ML Algorithms Implementation
In this video, we will get a quick section introduction about the process of setting up the Python environment and implementing ML algorithms that will be covered in the upcoming videos. This clip is from the chapter "Optional: Setting...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Implementation Steps
In this video, you will learn the implementation steps. 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...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Importing Required Libraries
In this video, you will learn how to import the required libraries. 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: Feature Scaling
In this video, you will learn about feature scaling. 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...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Exploring the Dataset
In this video, you will learn how to explore the dataset. 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...