Intuitive Machine Learning with Python
Learn Python, regressions, clustering, and support vector machines — without math anxiety!
Intuitive Machine Learning with Python free download
Learn Python, regressions, clustering, and support vector machines — without math anxiety!
Are you new to machine learning? Does the math seem overwhelming? If yes, this course is for you!
In this course, you’ll start from the basics. You'll download Python to your local machine and connect it with VS Code. You'll learn foundational Python skills - how to open .csv files, explore and select data, and apply basic data functions.
From there, you'll dive into powerful machine learning techniques without diving into the math. You’ll begin with supervised learning for classification, covering:
Decision Trees
K-Nearest Neighbors
Random Forests
Regression Trees
Then, you’ll move to more advanced models like:
Ridge, Lasso, and ElasticNet Regression
Support Vector Machines
Along the way, you'll intuitively understand concepts like gradient descent and cost functions - no tough math, just insight.
You'll also get:
Practice quizzes
Downloadable videos
Jupyter notebooks to code along
In the final section, you'll explore unsupervised learning, including:
Clustering
Market Basket Analysis
Principal Component Analysis (PCA)
These topics involve heavy math, but here, you’ll just focus on the core intuition and practical use. You’ll learn which technique to use and when, without memorizing formulas.
With just 2.5 hours of content, this course is designed to be concise, giving you maximum intuition, hands-on practice, and real insights in the least amount of time.
