| 001 Additional.en.srt | 5.8 KB | ||
| 001 Additional.mp4 | 19.5 MB | ||
| 001 Thank you.en.srt | 1.2 KB | ||
| 001 Thank you.mp4 | 12.5 MB | ||
| 001 What is decision tree _.en.srt | 5.9 KB | ||
| 001 What is decision tree _.mp4 | 24.4 MB | ||
| 001 Working Environment.en.srt | 4.2 KB | ||
| 001 Working Environment.mp4 | 37.6 MB | ||
| 002 Importing Libraries.en.srt | 4.4 KB | ||
| 002 Importing Libraries.mp4 | 43.4 MB | ||
| 002 Types of decision trees.en.srt | 3.2 KB | ||
| 002 Types of decision trees.mp4 | 7.4 MB | ||
| 003 Data importing.en.srt | 3.7 KB | ||
| 003 Data importing.mp4 | 38.6 MB | ||
| 003 Some Terminologies.en.srt | 5.4 KB | ||
| 003 Some Terminologies.mp4 | 26.8 MB | ||
| 004 Assumptions.en.srt | 2.5 KB | ||
| 004 Assumptions.mp4 | 9.9 MB | ||
| 004 Value counts.en.srt | 3 KB | ||
| 004 Value counts.mp4 | 30.8 MB | ||
| 005 Visualising.en.srt | 6.2 KB | ||
| 005 Visualising.mp4 | 21.5 MB | ||
| 005 What is Entropy _.en.srt | 8.5 KB | ||
| 005 What is Entropy _.mp4 | 25.9 MB | ||
| 006 Information gain.en.srt | 11.1 KB | ||
| 006 Information gain.mp4 | 46.5 MB | ||
| 006 Pie chart.en.srt | 7.9 KB | ||
| 006 Pie chart.mp4 | 33.1 MB | ||
| 007 Advantages and Disdavantages.en.srt | 3.7 KB | ||
| 007 Advantages and Disdavantages.mp4 | 14.8 MB | ||
| 007 Null values or not.en.srt | 3 KB | ||
| 007 Null values or not.mp4 | 7.3 MB | ||
| 008 Dividing features.en.srt | 3 KB | ||
| 008 Dividing features.mp4 | 9.1 MB | ||
| 008 Gini Index.en.srt | 6.8 KB | ||
| 008 Gini Index.mp4 | 21.1 MB | ||
| 009 Chi Square Test.en.srt | 3.3 KB | ||
| 009 Chi Square Test.mp4 | 10.8 MB | ||
| 009 Heatmap.en.srt | 5.6 KB | ||
| 009 Heatmap.mp4 | 21.1 MB | ||
| 010 How to encounter Overfitting _.en.srt | 9.1 KB | ||
| 010 How to encounter Overfitting _.mp4 | 37.4 MB | ||
| 010 More visualisations.en.srt | 3 KB | ||
| 010 More visualisations.mp4 | 12.4 MB | ||
| 011 Decision tree masterclass.en.srt | 9.6 KB | ||
| 011 Decision tree masterclass.mp4 | 36.9 MB | ||
| 011 Pairplot.en.srt | 1.2 KB | ||
| 011 Pairplot.mp4 | 12.4 MB | ||
| 012 Data preparation.en.srt | 3.4 KB | ||
| 012 Data preparation.mp4 | 13 MB | ||
| 013 Splitting the dataset.mp4 | 11.5 MB | ||
| 014 Building our model.en.srt | 8.8 KB | ||
| 014 Building our model.mp4 | 37.6 MB | ||
| 015 output.en.srt | 5 KB | ||
| 015 output.mp4 | 47.2 MB | ||
| Bonus Resources.txt | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| external-assets-links.txt | 102.4 B | ||
| ▲ 58 total files | |||
Decision Trees : Beginner to Advanced using Machine learning
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 28 lectures (1h 49m) | Size: 587.7 MB
Everything you need to know about Random forest and decision trees
What you'll learn:
Decision Trees
Random forest trees
Data visualisation
Applying Machine learning on real time data
If a person will have heart failure or not ?
Requirements
Python
Basic machine learning concepts
Mac or Windows
At least 4 Gb RAM
Basic coding
Description
Hi , and welcome to the Decision Trees using ML Course
Are you someone who is new to machine learning ?
If You Need More Courses, kindly Visit and Support Us -->> https://FreeCourseWeb.com
Thank You.
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