Udemy
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
Development
Web Development Data Science Mobile Development Programming Languages Game Development Database Design & Development Software Testing Software Engineering Software Development Tools No-Code Development
Business
Entrepreneurship Communication Management Sales Business Strategy Operations Project Management Business Law Business Analytics & Intelligence Human Resources Industry E-Commerce Media Real Estate Other Business
Finance & Accounting
Accounting & Bookkeeping Compliance Cryptocurrency & Blockchain Economics Finance Finance Cert & Exam Prep Financial Modeling & Analysis Investing & Trading Money Management Tools Taxes Other Finance & Accounting
IT & Software
IT Certifications Network & Security Hardware Operating Systems & Servers Other IT & Software
Office Productivity
Microsoft Apple Google SAP Oracle Other Office Productivity
Personal Development
Personal Transformation Personal Productivity Leadership Career Development Parenting & Relationships Happiness Esoteric Practices Religion & Spirituality Personal Brand Building Creativity Influence Self Esteem & Confidence Stress Management Memory & Study Skills Motivation Other Personal Development
Design
Web Design Graphic Design & Illustration Design Tools User Experience Design Game Design 3D & Animation Fashion Design Architectural Design Interior Design Other Design
Marketing
Digital Marketing Search Engine Optimization Social Media Marketing Branding Marketing Fundamentals Marketing Analytics & Automation Public Relations Paid Advertising Video & Mobile Marketing Content Marketing Growth Hacking Affiliate Marketing Product Marketing Other Marketing
Lifestyle
Arts & Crafts Beauty & Makeup Esoteric Practices Food & Beverage Gaming Home Improvement & Gardening Pet Care & Training Travel Other Lifestyle
Photography & Video
Digital Photography Photography Portrait Photography Photography Tools Commercial Photography Video Design Other Photography & Video
Health & Fitness
Fitness General Health Sports Nutrition & Diet Yoga Mental Health Martial Arts & Self Defense Safety & First Aid Dance Meditation Other Health & Fitness
Music
Instruments Music Production Music Fundamentals Vocal Music Techniques Music Software Other Music
Teaching & Academics
Engineering Humanities Math Science Online Education Social Science Language Learning Teacher Training Test Prep Other Teaching & Academics
Web Development JavaScript React CSS Angular Node.Js PHP HTML5 Typescript
AWS Certification Microsoft Certification AWS Certified Solutions Architect - Associate AWS Certified Cloud Practitioner CompTIA A+ Amazon AWS Cisco CCNA CompTIA Security+ Microsoft AZ-900
Microsoft Power BI SQL Tableau Data Modeling Business Analysis Business Intelligence MySQL Qlik Sense Data Analysis
Unity Unreal Engine Game Development Fundamentals C# 3D Game Development C++ Unreal Engine Blueprints 2D Game Development Mobile Game Development
Google Flutter iOS Development Android Development Swift React Native Dart (programming language) Kotlin Mobile App Development SwiftUI
Graphic Design Photoshop Adobe Illustrator Drawing Digital Painting Canva InDesign Character Design Procreate Digital Illustration App
Life Coach Training Personal Development Neuro-Linguistic Programming Personal Transformation Life Purpose Mindfulness Sound Therapy Coaching CBT Cognitive Behavioral Therapy
Business Fundamentals Entrepreneurship Fundamentals Business Strategy Freelancing Startup Business Plan Online Business Blogging Leadership
Digital Marketing Social Media Marketing Marketing Strategy Google Analytics Internet Marketing Copywriting Email Marketing Startup YouTube Marketing

DevelopmentData ScienceMachine Learning

Machine Learning Top 5 Models Implementation "A-Z"

Python and Codeless
Rating: 4.8 out of 54.8 (7 ratings)
39 students
Created by Amine Mehablia
Last updated 1/2019
English
English [Auto]

What you'll learn

  • From Dataset to Machine Learning 5 Models scenarios Implementation
  • Understanding the dataset
  • Data Analysis (missing values, outliers, outliers detection techniques, correlation)
  • Feature engineering
  • Selecting algorithms
  • Training the baseline
  • Understanding the testing matrix (ROC, AUC, Accuracy, Kappa...)
  • Testing the baseline model
  • Problems with the existing approach
  • Cross validation, Grid search, Models parameters tuning
  • Models optimization, Ensembles
  • and much more ....

Requirements

  • Intermediate knowledge of python
  • Prior exposure to Machine Learning algorithms
  • Curiosity and Interest in Data
  • Basic statistics

Description

One case study, five models from data preprocessing to implementation with Python, with some examples where no coding is required.

We will cover the following topics in this case study

Problem Statement 

Data 

Data Preprocessing 1

Understanding Dataset

Data change and Data Statistics

Data Preprocessing 2

Missing values

Replacing missing values

Correlation Matrix

Data Preprocessing 3

Outliers

Outliers Detection Techniques

Percentile-based outlier detection

Mean Absolute Deviation (MAD)-based outlier detection

Standard Deviation (STD)-based outlier detection

Majority-vote based outlier detection

Visualizing outlier

Data Preprocessing  4

Handling outliers

Feature Engineering

Models  Selected

·K-Nearest Neighbor (KNN)

·Logistic regression

·AdaBoost

·GradientBoosting

·RandomForest

·Performing the Baseline Training

Understanding the testing matrix

·The Mean accuracy of the trained models

·The ROC-AUC score

ROC

AUC

 Performing the Baseline Testing

Problems with this Approach

Optimization Techniques

·Understanding key concepts to optimize the approach

Cross-validation

The approach of using CV

Hyperparameter tuning

Grid search parameter tuning

Random search parameter tuning

Optimized  Parameters Implementation

·Implementing a cross-validation based approach

·Implementing hyperparameter tuning

·Implementing and testing the revised approach

·Understanding problems with the revised approach

 Implementation of the revised approach

·Implementing the best approach

Log transformation of features

Voting-based ensemble ML model

·Running ML models on real test data

Best approach & Summary

Examples with No Code

Downloads – Full Code

Who this course is for:

  • For all students willing to have a career in machine learning

Instructor

Amine Mehablia
Cybersecurity, Machine Learning and Blockchain
Amine Mehablia
  • 4.3 Instructor Rating
  • 24 Reviews
  • 162 Students
  • 2 Courses

With 22 years of mixed consulting experience in Cybersecurity, Machine Learning and Blockchain. I have worked with IBM, Cisco, EMC-RSA and others, and I have been an academics for a couple of years. I worked in four continents and travelled extensively.

I have a PhD in Engineering, an MSc in AI and an MBA, i am also a Certified Blockchain Expert.

I have written two (2) books:

1. IT Security Fundamentals- From The Firewall to Quantum Cryptography.

2. Corporate Information Security

Top companies choose Udemy Business to build in-demand career skills.
NasdaqVolkswagenBoxNetAppEventbrite
  • Udemy Business
  • Teach on Udemy
  • Get the app
  • About us
  • Contact us
  • Careers
  • Blog
  • Help and Support
  • Affiliate
  • Investors
  • Impressum Kontakt
  • Terms
  • Privacy policy
  • Cookie settings
  • Sitemap
  • Accessibility statement
Udemy
© 2022 Udemy, Inc.