Overview

Harness the power of data with modern machine learning tools and techniques. In this one-day course, you will gain hands-on experience with machine learning libraries and toolkits such as Pandas, NumPy, Seaborn and scikit-learn.

This course is lab heavy and provides hands-on experience with a variety of ML libraries and toolkits.

Skills Covered

  • Harness the Power of Data
  • Gain Competitive ML Skills
  • Demonstrate Your AI Skills to Others
  • Advance Your Career

Prerequisites

  • Participants should have basic programming skills (preferably in Python), a foundational understanding of mathematics and statistics, some experience with data analysis.

Target Audience

  • Developers
  • Data Engineers
  • IT and QA Staff
  • Technical Managers
  • DevOps Engineers
  • Analysts
  • Project Managers and more

Course Curriculum

Module 1: AI/Machine Learning Overview and Data Processing

  • Lab: Setting up a Machine Learning Environment and Processing Data with NumPy and Pandas

Module 2: Data Visualization

  • Lab: Visualizing Data with Seaborn and Matplotlib

Module 3: Machine Learning Models

  • Lab: Building Models with scikit-learn

Module 4: Hyperparameter Tuning

  • Labs: Hyperparmeter Tuning with Optuna

Dates & Locations

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Exam & Certification

Training & Certification Guide

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