Python: Introduction to Machine Learning with Python

Private session

This training is available in a private or personalized format. It can be provided in one of our training centres or at your offices. Call one of our consultants of submit a request online.

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  • Duration: 3 days
  • Regular price: On request

Course outline

Reference : Python machine learning

Duration : 3 days

Prerequisites

Basic knowledge of programming with Python

Objectives

  • Understanding machine learning and its subfields
  • Getting used to common machine learning algorithms
  • Making the right choice about what algorithm to use depending on the case
  • Acquiring expertise in analyzing algorithms results and performance metrics

Contents

Introduction
  • Supervised learning, unsupervised learning and reinforcement learning
  • Classification, regression, structural prediction
  • Model evaluation: metrics
  • Hyperparameter selection, model selection
  • Initiation to Scikit-learn
  • Data types and methods selection guide
Classification: Introduction with Optical Character Recognition (OCR)
  • K nearest neighbors’ algorithm (KNN)
  • Decision trees
  • Ensemble methods
  • Support Vector Machines (SVM)
  • Results visualization
Classification: Advanced concepts with sentiment analysis
  • Data preprocessing for learning algorithms
  • Dimensionality reduction
  • Batchwise training
  • Interpretability
Regression
  • Linear regression
  • Non-linear regression with kernel methods
  • Outlier detection and handling
  • Time series: Challenges, decomposition and predictive methods
  • Time series: non-stationary regression and auto-regressive models
Recommendation systems, case study
  • Collaborative filtering per user
  • Collaborative filtering per item
  • Advanced concepts and algorithms
Unsupervised learning
  • Clustering: K-means, hierarchical clustering, density methods
  • Dimensionality reduction: PCA, t-SNE,
  • Generative models: Introduction to autoencoders and variational autoencoders
Practical debugging guide
  • Overfitting test
  • Data pipelines test
Exploration of alternative metrics
Be aware of trends, innovations and best practices, every month.
Confidentiality
Training center accredited by Emploi-Québec, Accreditation : 0051460
GST : 141582528 – QST : 1019557738
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