Machine Learning with Python: Beginner Level

4 Hours onsite training + 1 Hour support

If you have previous Python programming experience, and want to learn machine learning, this is your starting point. This Introduction to Machine Learning Workshop will introduce you to machine learning algorithms and statistics. 

What you’ll learn:

• You will learn basic machine learning terms used in Python
• You will learn to understand and interpret results with regression, classification and clustering using Python libraries
• You will learn how to use popular machine learning and data science Python libraries: Pandas, NumPy, & SciKit Learn 
• You will be introduced to data visualization with Matplotlib
• You will learn the basics of building a machine learning model

Topics:

• Supervised Learning
• Unsupervised Learning
• Regression Models
• Categorical Features
• Continuous Features
• Classification Algorithms
• Clustering Algorithms 
• Dimensionality Reduction
• Ensemble Learning - Random Forest
• Intro to Deep Learning & Neural Networks
• Pandas
• NumPy
• SciKit-Learn 
• Data visualization with Matplotlib

You will work hands-on on a machine learning project and will leave with code to add to your Github!

Requirements & Prerequisites:

• Basic Python knowledge
• Laptop with Anaconda Distribution installed
• Laptop should have a minimum of 8GB ram and Chrome is installed on it.
• Familiarity with statistics and linear algebra (recommended but not required) 

Who this course is for:

• Python programmers 
• Data analysts 
• Machine learning enthusiasts