Python Data Science Development

IPA-P102

Python Data Science Development

The IPA-P102: Python Data Science Development training program discuss the latest machine learning algorithms while also covering the common threads that can be used in the future for learning a wide range of algorithms. The course is a complete package that will help learners build their Python coding skillsets to meet the demand of the ML-AI industry which is growing by leaps and bounds in recent years.


Training Duration: 5 Days

OVERVIEW

Machine Learning, Artificial Intelligence and Deep Learning training program discusses the latest machine learning algorithms while also covering the common threads that can be used in the future for learning a wide range of algorithms. The course is a complete package that will help learners build their skillsets and meet the demand of the ML-AI industry which is growing by leaps and bounds in recent years.


This course on Machine Learning, Deep Learning and Artificial Intelligence goes beyond the theoretical concepts of the technology like regression, clustering, classification, etc. and discusses their applications as well.

OBJECTIVES

You will learn:

  • Introduction to Machine Learning, Artificial Intelligence, and Deep learning

  • Supervised and unsupervised learning concepts and modelling

  • Solving business problems using Artificial Intelligence and Machine Learning

  • Machine Learning algorithms

PREREQUISITES

Participants in this Machine Learning online course should have:

  • Familiarity with the fundamentals of Python programming

AUDIENCE

There is an increasing demand for skilled machine learning engineers across all industries, making this Machine Learning certification course well-suited for participants at the intermediate level of experience. We recommend this Machine Learning training course for the following professionals in particular:

  • Developers aspiring to be a data scientist or machine learning engineer

  • Analytics managers who are leading a team of analysts

  • Business analysts who want to understand data science techniques

  • Information architects who want to gain expertise in machine learning algorithms

  • Analytics professionals who want to work in machine learning or artificial intelligence

  • Graduates looking to build a career in data science and machine learning

  • Experienced professionals who would like to harness machine learning in their fields to get more insights

COURSE MODULES