Python for Machine Learning

Unlock the power of machine learning and transform your Python skills into real-world impact. With over 91% of businesses investing in AI initiatives, the ability to apply machine learning is one of the most in-demand tech skills today. This hands-on course will guide you through building powerful algorithms using Python’s Scikit-learn library—equipping you to predict classifications, continuous values, and more. Whether you’re refining your models with Lasso and Ridge regression or deploying interactive APIs, this course gives you the tools and techniques to apply machine learning confidently in your day-to-day work.

Course Details

Price:

$1,195.00

Days:

Location:

Virtual

Course Overview

In this course, you’ll gain practical experience applying machine learning algorithms using Python. You’ll learn how to process and analyze data using NumPy and Pandas, create both classification and regression models with Scikit-learn, and apply feature engineering techniques to real-world datasets. You’ll also explore key concepts such as supervised vs unsupervised learning, model evaluation, and end-to-end model deployment as APIs.

To be successful in this course, learners should have the following: Intermediate Python skills and knowledge Level of knowledge and experience gained from Python for Data Science

Python
Jupyter notebooks
Numpy
Pandas
Matplotlib
Machine Learning concepts
Supervised vs Unsupervised Learning
Types of Machine Learning – Classification vs Regression
Evaluation
Machine Learning Methods – All in Theory and Practice
Linear Regression
Logistic Regression
K Nearest Neighbors
Support Vector Machine
Decision Trees
Unsupervised Learning Methods
Feature Engineering and Data Preparation

Class Dates & Times


07/21/2025 - 07/22/2025 Virtual 09:00:00 to 17:00:00 EST Enroll Now $1,195.00
11/10/2025 - 11/11/2025 Virtual 09:00:00 to 17:00:00 EST Enroll Now $1,195.00

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