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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Collaborative Filtering using KNN
This video demonstrates implementing a collaborative filter using the k-nearest neighbor algorithm.
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Item-Based Filtering Data Preparation
In this video, you will learn to implement Python to develop item-based collaborative filtering using Pandas, NumPy, and Matplotlib.
Curated Video
Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Item-Based Collaborative Filtering
In this video, you will learn to use machine learning to develop item-based collaborative filtering.
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Exploring Genres in Content-Based Filtering
After learning to explore genres, we will look at term frequency and inverse document frequency.
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Data Manipulation for Content-Based Filtering
In this lesson, you will learn how to extract information from our dataset.
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Recommender Systems Complete Course Beginner to Advanced - Machine Learning for Recommender Systems: Data Preparation for Content-Based Filtering
In this lesson, you will learn to develop content-based filtering for a recommender system using Python.
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Recommender Systems Complete Course Beginner to Advanced - Basics of Recommender System: Data Partitioning
Here, we will look at data partitioning, represented as a URL.
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Recommender Systems Complete Course Beginner to Advanced - Basics of Recommender System: Offline Evaluation Techniques
In this video, you will learn about the evaluation technique and focus on the offline evaluation technique in this lecture.
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Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Making Recommendations
We will now perform some recommendations using the brute-force algorithms and then perform the indexing of our data.
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Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Candidate Tower and Retrieval System
In this lesson, we will look at making the candidate tower and then execute a retrieval system.
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Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Make Tensors from DataFrame
We will now advance further by checking our dataset using a single user and developing the Tensor from DataFrame.
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Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Data Visualization with WordCloud
In this video, we will explore how to load the dataset and begin data visualization using WordCloud.
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Recommender Systems Complete Course Beginner to Advanced - Project Amazon Product Recommendation System: Download Libraries
Here, you will learn to implement the Amazon product recommendation system using deep learning. We will import the requisite libraries and build and train the deep learning-based model using TensorFlow.
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Recommender Systems Complete Course Beginner to Advanced - Project 2: Movie Recommendation System Using Collaborative Filtering: Count
In this lesson, we will create functions to calculate the count of the elements of the project.
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Recommender Systems Complete Course Beginner to Advanced - Project 2: Movie Recommendation System Using Collaborative Filtering: Dataset Discussion
In this video, we will look at the various libraries we would need to import for this project, including os, math, NumPy, time, and Pandas.
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Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: Exploring Genres
In this lesson, we will explore the elements of the dataset called genres.
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Recommender Systems Complete Course Beginner to Advanced - Project 1: Song Recommendation System Using Content-Based Filtering: Missing Values
In this lesson, we will develop a new data frame for our content-based filtering for missing values.
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Learn Tableau by Working on Exciting Dashboards - Key Performance Indicator (KPI)
This video explains how to create the key performance indicator in the Netflix analysis dashboard.
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Learn Tableau by Working on Exciting Dashboards - Dimension, Measures, Aggregation, Granularity
This video explains the difference between dimension, measures, aggregation, and granularity.
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Learn Tableau by Working on Exciting Dashboards - Contribution of Each Stock (Waterfall Chart)
This video explains how to create the waterfall chart.
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Learn Tableau by Working on Exciting Dashboards - Country Map
This video explains how to create a map that shows us which TV shows or movies were produced in which countries using country dimensions.
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Learn Tableau by Working on Exciting Dashboards - Donut Chart
This video explains how to create the donut chart in the Netflix dashboard.
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Learn Tableau by Working on Exciting Dashboards - Level of Detail - Introduction
This video explains the level of detail expressions and how to compute them.
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Learn Tableau by Working on Exciting Dashboards - Tableau Generated Fields
This video explains Tableau generated fields and how we can use them.