Curated Video
Recommender Systems with Machine Learning - User-Based Collaborative Filtering
This video helps you with user-based collaborative filtering. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the use of machine...
Curated Video
Recommender Systems with Machine Learning - Collaborative Filtering Using KNN
This video helps you with collaborative filtering using KNN. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the use of machine...
Curated Video
Recommender Systems with Machine Learning - Item-Based Filtering Data Preparation
This video explains and demonstrates item-based filtering data preparation. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the use...
Curated Video
Recommender Systems with Machine Learning - Item-Based Collaborative Filtering
This video demonstrates item-based collaborative filtering. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the use of machine...
Curated Video
Recommender Systems with Machine Learning - Exploring Genres in Content-Based Filtering
This video helps you explore the genres in content-based filtering. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section focuses on the use of...
Curated Video
Recommender Systems with Machine Learning - Data Manipulation for Content-Based Filtering
This video explains data manipulation for content-based filtering with machine learning. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section...
Curated Video
Recommender Systems with Machine Learning - Data Preparation for Content-Based Filtering
This video explains data preparation for content-based filtering with machine learning. This clip is from the chapter "Machine Learning for Recommender System" of the series "Recommender Systems with Machine Learning".This section...
Curated Video
Recommender Systems with Machine Learning - Data Partitioning
This video explains data partitioning. This clip is from the chapter "Basic of Recommender Systems" of the series "Recommender Systems with Machine Learning".This section focuses on the basics of recommender systems.
Curated Video
Recommender Systems with Machine Learning - Offline Evaluation Techniques
This video talks about offline evaluation techniques of recommender systems. This clip is from the chapter "Basic of Recommender Systems" of the series "Recommender Systems with Machine Learning".This section focuses on the basics of...
Curated Video
Recommender Systems with Machine Learning - Section Overview
This video provides an overview of the section. This clip is from the chapter "Basic of Recommender Systems" of the series "Recommender Systems with Machine Learning".This section focuses on the basics of recommender systems.
Curated Video
Master SQL for Data Analysis - Union, Intersect, Except
In this video, you will learn more about the UNION, INTERSECT, JOIN, and EXCEPT operators while combining datasets and tables. This clip is from the chapter "SQL - Combining Data from Multiple Tables" of the series "Master SQL for Data...
Curated Video
Master SQL for Data Analysis - Loading the eCommerce Datasets
In this video, we will look at the different store datasets of eCommerce that we will use in the eCommerce training project. This clip is from the chapter "Getting Started with Level 2" of the series "Master SQL for Data Analysis".This...
Curated Video
Recommender Systems: An Applied Approach using Deep Learning - Making Recommendations
In this lesson, you will learn to create a recommendation and use a brute-force algorithm to generate the recommendation. This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An...
Curated Video
Recommender Systems: An Applied Approach using Deep Learning - Candidate Tower and Retrieval System
In this video, you will learn how to create a candidate tower and develop a retrieval system. This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems: An Applied Approach Using Deep...
Curated Video
Recommender Systems: An Applied Approach using Deep Learning - Make Tensors from DataFrame
In this video, we will continue to check our dataset using a single username. We will use a part of the DataFrame to do so. This clip is from the chapter "Project Amazon Product Recommendation System" of the series "Recommender Systems:...
Curated Video
Recommender Systems: An Applied Approach using Deep Learning - Data Visualization with WordCloud
In this video, you will learn how to load a dataset for the project being developed, using WordCloud, importing WordCloud, STOPWORDS, and ImageColorGenerator. This clip is from the chapter "Project Amazon Product Recommendation System"...
Curated Video
Recommender Systems: An Applied Approach using Deep Learning - Download Libraries
In this video, you will learn to implement the Amazon recommender system using the TensorFlow recommender based on specific user behavior. You will learn to download and import particular libraries for the project. This clip is from the...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Comparing Different Machine Learning Models
In this video, we will understand how all machine learning interfaces are the same. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - All Data Is the Same
In this video, we will understand how all data is the same as all machine learning interfaces are the same. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - What Is a Feature Vector?
In this video, you will learn about a feature vector. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will cover machine...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Regression in Code
In this video, we will practice all that we have learnt in the previous video about regression. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in...
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Pandas Exercise
In this video, we will have a look at the Pandas exercise that needs to be resolved on our own. This clip is from the chapter "Pandas" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section,...
Curated Video
Power BI Tips and Tricks (Includes Time-Saving ChatGPT Prompts) - Power BI Multiple Excel Files with Different File Structures and Modification
This lecture expands on the previous video by exploring the challenges of working with multiple Excel files with different file structures and modifications. We will gain insights into managing these issues effectively in Power BI. This...
Curated Video
Power BI Tips and Tricks (Includes Time-Saving ChatGPT Prompts) - ChatGPT for Power BI Desktop
ChatGPT chatbot technology with Power BI Desktop integration allows users to interact with data and reports through NLP queries. The video provides step-by-step guidance on setting up the integration and use of ChatGPT to enhance...