Udemy - Develop Recommendation Engine With Python 2022

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[ DevCourseWeb.com ] Udemy - Develop Recommendation Engine With Python 2022
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 1. Everything is Recommendation
    • 1. What is Recommendation System.mp4 (8.7 MB)
    • 1. What is Recommendation System.srt (2.6 KB)
    3. Let's create a basic Recommendation System
    • 1. Loading the datasets.mp4 (17.7 MB)
    • 1. Loading the datasets.srt (2.9 KB)
    • 2. Calculating weighted average.mp4 (55.2 MB)
    • 2. Calculating weighted average.srt (7.2 KB)
    • 3. Adding little bit complexity into it.mp4 (25.8 MB)
    • 3. Adding little bit complexity into it.srt (3.3 KB)
    • 4. BASIC Recommendation System turns into COMPLEX Recommendation System.mp4 (64.0 MB)
    • 4. BASIC Recommendation System turns into COMPLEX Recommendation System.srt (7.8 KB)
    4. Content Filter Recommendation System
    • 1. Loading the datasets and vectorize the column 'OVERVIEW' of the movie using NLP.mp4 (29.5 MB)
    • 1. Loading the datasets and vectorize the column 'OVERVIEW' of the movie using NLP.srt (6.4 KB)
    • 2. Logistic Regression(Building the model).mp4 (16.2 MB)
    • 2. Logistic Regression(Building the model).srt (3.3 KB)
    • 3. Define function to get the recommended movies.mp4 (40.1 MB)
    • 3. Define function to get the recommended movies.srt (5.2 KB)
    5. Collaboration Based Recommendation System
    • 1. Load, Merge and Rename.mp4 (33.5 MB)
    • 1. Load, Merge and Rename.srt (6.9 KB)
    • 2. Marking some threshold values.mp4 (30.9 MB)
    • 2. Marking some threshold values.srt (5.1 KB)
    • 3. Building pivot table and applying KNN ML algo.mp4 (28.2 MB)
    • 3. Building pivot table and applying KNN ML algo.srt (2.6 KB)
    • Bonus Resources.txt (0.3 KB)

Description

Develop Recommendation Engine With Python 2022



https://DevCourseWeb.com

Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 349 MB
Genre: eLearning Video | Duration: 15 lectures (59 mins) | Language: English
Learn to apply recommendation techniques used by Amazon, Netflix, Youtube, IMDB
What you'll learn

Learn Collaborative Filtering Recommendation technique
Learn Content Based Filtering Recommendation technique
Learn to build Hybrid Recommendation Engine
Learn the techniques used by Amazon, Netflix to recommend products to the customer
Learn the fundamental concepts about Recommendation Engine

Course content
7 sections • 15 lectures • 59m total length

Requirements



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Udemy - Develop Recommendation Engine With Python 2022


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349.8 MB
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Udemy - Develop Recommendation Engine With Python 2022


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