Course Overview
Do you want to break into the world of Machine Learning and earn by building smart, data-driven applications?
This Complete Machine Learning and Coding Course is designed just for you!
In just a few weeks, you’ll go from beginner to confident ML developer—learning how to write code that powers intelligent systems and predictions.
Throughout the course, we cover essential tools, languages, and frameworks including:
Python – The core language for machine learning and data science
NumPy & Pandas – For data manipulation and analysis
Matplotlib & Seaborn – For visualizing your data and results
Scikit-learn – For implementing machine learning algorithms
TensorFlow & Keras – For building deep learning models
What you will learn
Python for building the foundation of coding in Machine Learning.
Numpy and Pandas for data manipulation and analysis.
Matplotlib and Seaborn for visualizing data and trends.
Scikit-learn for training and evaluating ML models.
Implementing model evaluation techniques like cross-validation.
FINAL PROJECT: A predictive machine learning app with a user-friendly interface.
Course Curriculum
25
Lessons
(
12 hours
)
Course Review
John
Machine Learning and Coding was an eye-opening course for me. The concepts were well-explained, and the coding exercises helped solidify my understanding. I loved how the course blended theory with hands-on experience. It’s a great starting point for anyone looking to dive into the world of machine learning.
David
This course on Machine Learning and Coding exceeded my expectations. The lessons were clear, and I appreciated how the coding challenges improved my skills. The real-world examples were particularly helpful in making the concepts come alive. I feel more confident applying machine learning algorithms now.
