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Thursday, October 11, 2018

Codecademy - Machine Learning Fundamentals - Syllabus

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

Applying for jobs at the Lending Club

We tried to figure out Lending Club 's tech stack for 2019. Our analysis shows Lending Club asks for skills in Python, Tableau, SQL and ...