Upgrade your skills with Codecademy's Pro Intensive, Machine Learning Fundamentals.

Each unit will cover conceptual and syntax lessons and quizzes. There will also be a few cumulative off-platform projects throughout the Intensive. Articles and videos will be available to supplement your learning.

### Unit 1- What is Machine Learning?

Learn about the types of problems to solve with machine learning.

- Machine Learning Process
- Learn about Scikit
- Why Data?

### Unit 2 - Regression

Predict continuous-valued output based on the input value(s).

- Distance Formula
- Linear Regression
- Multiple Linear Regression
- Precision vs Recall

### Unit 3 - Classification

Classify data into different categories.

- Bayes’ Theorem
- Naive Bayes Classifier
- K-Nearest Neighbors
- The Ethics of Overfitting

### Unit 4 - Unsupervised Learning

Find patterns and structures in unlabeled data points.

- K-Means Clustering
- K-Means++ Clustering

### Unit 5 - Neural Network Teaser

Implement a single neuron - the building block of neural networks.

- Perceptron

### Unit 6 - Capstone Project

Apply your new knowledge to complex projects reviewed by experts.

- Yelp recommender
- Date-a-Scientist

## 0 Comments