Machine Learning – in lingua inglese



The Machine Learning certification course is well-suited for participants at the intermediate level including: analytics managers, business analysts, information architects, developers looking to become data scientists and graduates seeking a career in Data Science and Machine Learning


This Machine Learning course requires an understanding of basic statistics and mathematics at the college level. Familiarity with Python programming is also beneficial. You should understand these fundamental courses including Python for Data Science, Math Refresher and Statistics Essential for Data Science, before getting into the Machine Learning online course


This Machine Learning online course offers an in-depth overview of Machine Learning topics including working with real-time data, developing algorithms using supervised and unsupervised learning, regression, classification and time series modeling. Learn how to use Python in this Machine Learning training course to draw predictions from data

Contenuti del corso

  • Introduction to AI and Machine Learning
  • Data Preprocessing
  • Supervised Learning
  • Feature Engineering
  • Supervised Learning: Classification
  • Unsupervised Learning
  • Time Series Modeling
  • Ensemble Learning
  • Recommender Systems
  • Text Mining

Certificazione rilasciata

Simplilearn’s Machine Learning certification

This course will give you a complete overview of Machine Learning methodologies, enough to prepare you to excel in your next role as a Machine Learning expert. You will earn Simplilearn’s Machine Learning certification that will attest to your new skills and on-the-job expertise. Get familiar with regression, classification, time series modelling and clustering


What I need to know to unlock my Simplilearn certificate?

  • Complete 85% of the course
  • Submit at least one completed project


Do you provide any practice tests as part of this course?

Yes, one practice test is provided as part of the course to help you prepare for the actual certification exam


Skills Covered

  • Supervised and unsupervised learning
  • Time series modeling
  • Linear and logistic regression
  • Kernel SVM
  • Decision trees
  • K-Means clustering
  • Naive Bayes
  • Random forest classifiers
  • Boosting and Bagging techniques
  • Deep Learning fundamentals


Training provider




Scopri tutti i servizi offerti dal CFP G. Zanardelli


ID Corso: 6194
Sede corso:

Corso Online


50 ore


899.00 € + IVA

Data inizio:
Calendario corso:

Immediately available

Available for 60 days from the date of purchase