Machine Learning with Python Training Course

Saigon Tower, 29 Lê Duẩn, Bến Nghé, District 1, Ho Chi Minh City, Vietnam

Description

Overview

The aim of this course is to provide a basic proficiency in applying Machine Learning methods in practice. Through the use of the Python programming language and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning, how to make data modeling decisions, interpret the outputs of the algorithms and validate the results.

Our goal is to give you the skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Sciences applications.

Course Details :

Course Code : mlfunpython
Duration: 14 hours (usually 2 days including breaks)
Workday courses take place between 09:30 and 16:30
Requirements
– Knowledge of Python programming language. Basic familiarity with statistics and linear algebra is recommended.
Fees : 239738877 VND(Price per participant)
Venue : Ho Chi Minh City, Saigon Tower, Vietnam

Course Outline

Introduction to Applied Machine Learning

  • Statistical learning vs. Machine learning
  • Iteration and evaluation
  • Bias-Variance trade-off

Machine Learning with Python

  • Choice of libraries
  • Add-on tools

Regression

  • Linear regression
  • Generalizations and Nonlinearity
  • Exercises

Classification

  • Bayesian refresher
  • Naive Bayes
  • Logistic regression
  • K-Nearest neighbors
  • Exercises

Cross-validation and Resampling

  • Cross-validation approaches
  • Bootstrap
  • Exercises

Unsupervised Learning

  • K-means clustering
  • Examples
  • Challenges of unsupervised learning and beyond K-means

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