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
Unit 2 - Regression
Predict continuous-valued output based on the input value(s).
Multiple Linear Regression
Precision vs Recall
Unit 3 - Classification
Classify data into different categories.
Naive Bayes Classifier
The Ethics of Overfitting
Unit 4 - Unsupervised Learning
Find patterns and structures in unlabeled data points.
Unit 5 - Neural Network Teaser
Implement a single neuron - the building block of neural networks.
Unit 6 - Capstone Project
Apply your new knowledge to complex projects reviewed by experts.
Thursday, October 11, 2018
import cv2 cv2.imread() cv2.resize() .tranpose() on arrays .reshape() on arrays
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