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Udemy - Develop Recommendation Engine With Python 2022

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Added 4 years ago by freecoursewb in Other
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Udemy - Develop Recommendation Engine With Python 2022 (Size: 349.8 MB)
  1. Load, Merge and Rename.mp4 33.5 MB
  1. Load, Merge and Rename.srt 6.9 KB
  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
  1. Loading the datasets.mp4 17.7 MB
  1. Loading the datasets.srt 2.9 KB
  1. What is Recommendation System.mp4 8.7 MB
  1. What is Recommendation System.srt 2.6 KB
  2. Calculating weighted average.mp4 55.2 MB
  2. Calculating weighted average.srt 7.2 KB
  2. Logistic Regression(Building the model).mp4 16.2 MB
  2. Logistic Regression(Building the model).srt 3.3 KB
  2. Marking some threshold values.mp4 30.9 MB
  2. Marking some threshold values.srt 5.1 KB
  3. Adding little bit complexity into it.mp4 25.8 MB
  3. Adding little bit complexity into it.srt 3.3 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
  3. Define function to get the recommended movies.mp4 40.1 MB
  3. Define function to get the recommended movies.srt 5.2 KB
  4. BASIC Recommendation System turns into COMPLEX Recommendation System.mp4 64 MB
  4. BASIC Recommendation System turns into COMPLEX Recommendation System.srt 7.8 KB
  Bonus Resources.txt 307.2 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 24 total files

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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