Udemy - Applied Advanced Machine Learning In Python

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[ FreeCourseWeb.com ] Udemy - Applied Advanced Machine Learning In Python
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 01 - Introduction
    • 001 Everything You Should Know About Machine Learning.mp4 (198.2 MB)
    • 001 Everything You Should Know About Machine Learning_en.vtt (17.8 KB)
    • 002 Mindset To Use machine Learning.mp4 (162.2 MB)
    • 002 Mindset To Use machine Learning_en.vtt (16.4 KB)
    • 003 Introduction Me.mp4 (601.9 MB)
    • 003 Introduction Me_en.vtt (50.9 KB)
    02 - Approach To Machine Learning Model Building
    • 001 General Approach To Machine Learning Model Building.mp4 (52.1 MB)
    • 001 General Approach To Machine Learning Model Building_en.vtt (5.0 KB)
    03 - Gradient Booting Machine Learning Algorithm
    • 001 GBM ML Algorithms-Fundamentals.mp4 (159.2 MB)
    • 001 GBM ML Algorithms-Fundamentals_en.vtt (16.4 KB)
    • 002 GBM ML Algorithms-Hands On Tutorial.mp4 (195.7 MB)
    • 002 GBM ML Algorithms-Hands On Tutorial_en.vtt (17.8 KB)
    • 002 Tutorial-on-GBM-Algorithm.ipynb (1.7 MB)
    04 - AddaBoost Machine Learning Algorithm
    • 001 AddaBoost ML.mp4 (65.4 MB)
    • 001 AddaBoost ML_en.vtt (7.3 KB)
    • 002 AddaBoost-Hands On Tutorial.mp4 (199.0 MB)
    • 002 AddaBoost-Hands On Tutorial_en.vtt (19.2 KB)
    • 002 Tutorial-on-AdaBoost-In-details-with-Python.ipynb (49.5 KB)
    05 - Extreme Gradient Boosting Technique
    • 001 XGBoost Fundamentals.mp4 (145.0 MB)
    • 001 XGBoost Fundamentals_en.vtt (13.6 KB)
    • 002 XGBoost Working Principle.mp4 (163.8 MB)
    • 002 XGBoost Working Principle_en.vtt (16.4 KB)
    • 003 Tutorial-on-XGBoost-Algorithm-with-Python.ipynb (427.4 KB)
    • 003 XGBoost-Hands On Tutorial.mp4 (246.4 MB)
    • 003 XGBoost-Hands On Tutorial_en.vtt (21.4 KB)
    • 004 Tutorial-on-XGBoost-Algorithm-with-Python.ipynb (427.4 KB)
    • 004 XG Boost-Hands On Tutorial-Part 2.mp4 (259.8 MB)
    • 004 XG Boost-Hands On Tutorial-Part 2_en.vtt (23.7 KB)
    • 005 Tutorial-on-XGBoost-Algorithm-with-Python.ipynb (427.4 KB)
    • 005 XGBoost-Hands On Tutorial-Part 3.mp4 (131.3 MB)
    • 005 XGBoost-Hands On Tutorial-Part 3_en.vtt (10.9 KB)
    • Bonus Resources.txt (0.4 KB)

Description

Applied Advanced Machine Learning In Python



https://DevCourseWeb.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.52 GB | Duration: 2h 56m

Advanced Machine Learning In Python Programming Language

What you'll learn
Fundamentals about Machine Learning & how it is better than conventional automations
Starting From What Is Machine Learning To Practical Implementation
Covers Detailed Concept Of All ML Models & Algorithms-Basic To Adv
How To Build Your ML Models On Real Data Set
Fine tuning Of The Models For Better Accuracy & Prediction
Understanding The Parameters Of All Kinds Of ML Models
Steps Involved In ML Model Building & Important Terms
How To improve The Accuracy Using Advance Techniques .
Important Model Evaluation Metrics & Important Resources

Requirements
Student should have a fair idea about Python Programming Language and Google Colab IDE
Student should be familiar with the basic ML Model building and statistics behind that.
Description
Learn the hands-on tutorial on Advance Machine Learning Algorithms like GBM, AddaBoosting techniques, XGBoost, and many more.This Course Will Give You A Precise Approach To Machine Learning



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Udemy - Applied Advanced Machine Learning In Python


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2.5 GB
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Udemy - Applied Advanced Machine Learning In Python


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