Course: Machine learning 1 | دروس على الخط

Section outline

Select section General

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General

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- Select activity Annonces
  
  Annonces Forum
Select section Contact

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Contact
Name : Khellat Kihel Souad

Rank and specialty: MCA, Computer Science

Contact email addresses: khellatsouad@yahoo.fr / souad.khellat@univ-usto.dz

Course title: Machine learning

Weekly course hours: 3h00 lecture, 3h00 tutorial (TP)
Select section Preface

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Preface
- Select activity Preface
  
  Preface Page
Select section Chapter I: Introduction

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Chapter I: Introduction
- Select activity Machine learning introduction
  
  Machine learning introduction File PDF
- Select activity Presentation partI
  
  Presentation partI File PPT
- Select activity Probability and bayesian network
  
  Probability and bayesian network File PPT
- Select activity Extra documentation
  
  Extra documentation File PDF
- Select activity Basics on machine learning
  
  Basics on machine learning URL
Select section Chapter II: Supervised learning

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Chapter II: Supervised learning
- Select activity Regression
  
  Regression File PPT
- Select activity Decision tree
  
  Decision tree File PPT
Select section Chapitre III: Unsupervised learning

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Chapitre III: Unsupervised learning

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Select section Chapter IV: Specialised Techniques

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Chapter IV: Specialised Techniques

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Select section Chapter V: Semi-supervised learning & reinforcement learning

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Chapter V: Semi-supervised learning & reinforcement learning

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Select section Chapter VI: Feature engineering & anomaly detection

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Chapter VI: Feature engineering & anomaly detection

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Select section TP Load Data

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TP Load Data
- Select activity Loading data
  
  Loading data File PDF
- Select activity Practice loading data
  
  Practice loading data File PDF
- Select activity Video explicative
  
  Video explicative URL
Select section TP data preprocessing

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TP data preprocessing
- Select activity Preprocessdata
  
  Preprocessdata File PDF
- Select activity Preprocess practice
  
  Preprocess practice File PDF
Select section TP regression 1

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TP regression 1
- Select activity TP1
  
  TP1 File PDF
Select section TP logistic regression

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TP logistic regression
- Select activity logistic regression
  
  logistic regression File PDF
Select section TP decisionTree and randomforest

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TP decisionTree and randomforest
- Select activity Decision tree and random forest
  
  Decision tree and random forest File PDF
Select section TP SVM

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TP SVM

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Select section TP Kmeans clustering

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TP Kmeans clustering

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Select section TP Dimensionality reduction

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TP Dimensionality reduction

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Select section Association rule learning TP

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Association rule learning TP

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Select section TP Bayesian network

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TP Bayesian network

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Select section Extra documentation

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Extra documentation
Select section References & Webographie

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References & Webographie

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