Curated Video
Python for Machine Learning - The Complete Beginners Course - What Is Supervised Learning?
In this video, we will understand supervised learning. This clip is from the chapter "Introduction to Machine Learning" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will have a quick...
Curated Video
Python for Machine Learning - The Complete Beginners Course - Supervised Learning Versus Unsupervised Learning
In this video, we will cover supervised learning versus unsupervised learning. This clip is from the chapter "Introduction to Machine Learning" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section,...
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...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Weight Initialization
This video explains about weight initialization. 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...
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
Reinforcement Learning and Deep RL Python Theory and Projects - Why DNNs in Machine Learning
This video explains why we need DNNs in machine learning. 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
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...
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Batch Normalization
This video demonstrates batch normalization. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Gradient Descent Summary
In this video, we will cover DNN gradient descent summary. 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
Python for Machine Learning - The Complete Beginners Course - Merging Datasets into One Dataframe
In this video, you will learn how to merge datasets into one dataframe. 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 - Importing the Dataset
In this video, you will learn how to import 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.