- Home |
- Projects |
- Course Detail
Build a Machine Learning Model with Python
Did you know more data has been created in the past two years than in the rest of human history? That’s why machine learning models that find patterns in data and make decisions are so important. Learn how to build them with Python.What will you learn
Level up their Python skills
Learn advanced programming
Have fun with ML and AI
Includes(Topics)
- Python 3 ,
- scikit-learn ,
- matplotlib ,
- pandas ,
- Jupyter Notebooks ,
- more
There are 10 modules in this course
Module
1
Introduction to Machine Learning
Welcome to the world of machine learning! You will learn some of the fundamental concepts behind machine learning.
Module
2
Supervised Learning: Regression
Use linear regression or multiple linear regression to fit a line to data. Using this line, you can make predictions about future data.
Module
3
Regression Cumulative Project
Practice your regression skills on a real-world dataset provided by Yelp!
Module
4
Supervised Learning: Introduction to Classification
Learn to classify data using some of the most famous supervised machine learning models.
Module
5
Supervised Learning: Advanced Classification
Learn some of the more complicated supervised machine learning models.
Module
6
Supervised Machine Learning Cumulative Project
In this cumulative project, use your understanding of a variety of supervised machine learning models to analyze social media data.
Module
7
Unsupervised Learning
Learn how unsupervised machine learning models work by implementing the K-Means clustering algorithm.
Module
8
Unsupervised Machine Learning Cumulative Project
Create a project on your own computer that demonstrates your understanding of unsupervised machine learning!
Module
9
Perceptrons and Neural Nets
Learn the concepts behind neural nets and begin to create your own by implementing a perceptron — the building blocks of neural nets.
Module
10
Machine Learning Capstone Project
Use a dataset from OkCupid and the machine learning skills you have learned to try to find true love!
Frequently Asked Questions
Frequently Asked Questions
