[ FreeCourseWeb ] Udemy - K Nearest Neighbors - Machine Learning

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size371.1 MB
  • Uploaded Byfreecoursewb
  • Downloads43
  • Last checkedJul. 15th '21
  • Date uploadedJul. 12th '21
  • Seeders 2
  • Leechers6

Infohash : 5F727AC60E4C5702E253B4F7F505FC02A4840896

K Nearest Neighbors : Machine Learning

MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 371 MB | Duration: 1h 8m
What you'll learn
K Nearest Neighbours Algorithm
Machine Learning
Data Science
Requirements
Python programming
Basics of machine learning
Zeal to learn
Not be able to eat 1 Pizza
Description
Hi , and welcome to the K Nearest Neighbours Course

Are you someone who is new to machine learning ?

Are you someone who wants to get started with machine learning ?

Can you sacrifice 1 McDonalds Meal for this amazing course ?

Download More Courses Visit and Support Us -->> https://FreeCourseWeb.com

Files:

[ FreeCourseWeb.com ] Udemy - K Nearest Neighbors - Machine Learning
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. K Nearest Neighbors
    • 1. What is KNN-en_US.srt (4.1 KB)
    • 1. What is KNN.mp4 (14.3 MB)
    • 2. More about KNN-en_US.srt (2.9 KB)
    • 2. More about KNN.mp4 (9.5 MB)
    • 3. How does KNN Work-en_US.srt (4.8 KB)
    • 3. How does KNN Work.mp4 (21.8 MB)
    • 4. KNN Working-en_US.srt (4.7 KB)
    • 4. KNN Working.mp4 (21.6 MB)
    • 5. Advantages of KNN-en_US.srt (2.4 KB)
    • 5. Advantages of KNN.mp4 (8.1 MB)
    • 6. Disadvantages-en_US.srt (2.2 KB)
    • 6. Disadvantages.mp4 (8.3 MB)
    2. Setting up
    • 1. Working Environment.mp4 (38.3 MB)
    3. Project - Basics
    • 1. Importing Data-en_US.srt (5.4 KB)
    • 1. Importing Data.mp4 (23.9 MB)
    • 2. Visualising the data-en_US.srt (3.4 KB)
    • 2. Visualising the data.mp4 (11.6 MB)
    • 3. KNN implentation-en_US.srt (5.7 KB)
    • 3. KNN implentation.mp4 (28.2 MB)
    • 4. Output-en_US.srt (3.0 KB)
    • 4. Output.mp4 (10.5 MB)
    • 5. Prediction-en_US.srt (3.3 KB)
    • 5. Prediction.mp4 (12.3 MB)
    4. Project - IRIS Dataset
    • 1. Importing data-en_US.srt (2.7 KB)
    • 1. Importing data.mp4 (46.6 MB)
    • 2. Training and testing data-en_US.srt (6.3 KB)
    • 2. Training and testing data.mp4 (20.9 MB)
    • 3. Scaling-en_US.srt (3.0 KB)
    • 3. Scaling.mp4 (8.4 MB)
    • 4. Implementing algorithm-en_US.srt (2.5 KB)
    • 4. Implementing algorithm.mp4 (8.6 MB)
    • 5. What is confusion matrix-en_US.srt (8.8 KB)
    • 5. What is confusion matrix.mp4 (33.5 MB)
    • 6. Confusion matrix-en_US.srt (4.0 KB)
    • 6. Confusion matrix.mp4 (15.7 MB)
    • 7. What is accuracy-en_US.srt (2.9 KB)
    • 7. What is accuracy.mp4 (10.0 MB)
    • 8. Accuracy-en_US.srt (1.2 KB)
    • 8. Accuracy.mp4 (5.5 MB)
    5. Conclusion
    • 1. Thank you-en_US.srt (1.0 KB)
    • 1. Thank you.mp4 (13.4 MB)
    • Bonus Resources.txt (0.3 KB)

Code:

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