Use LEFT and RIGHT arrow keys to navigate between flashcards;
Use UP and DOWN arrow keys to flip the card;
H to show hint;
A reads text to speech;
13 Cards in this Set
- Front
- Back
- 3rd side (hint)
|
What is machine learning |
Machine Learning is a way of taking data and turning it into insights |
|
|
|
Python packages available for machine learning |
pandas, numpy, matplotlib and scikit-learn. |
|
|
|
Pandas is used for |
reading data and data manipulation |
|
|
|
numpy is used for |
computations of numerical data. |
|
|
|
matplotlib is used for |
graphing data |
|
|
|
scikit-learn is used for |
machine learning models. |
|
|
|
The basic of machine learning is |
Statistics |
|
|
|
The two types of machine learning |
supervised and unsupervised learning. |
|
|
|
Types of supervised learning |
Classification Regression |
|
|
|
What is regression |
Regression is predicting a numerical value |
(for example, predicting what price a house will sell for) |
|
|
Classification |
classification is predicting what class something belongs to |
(for example, predicting if a borrower will default on their loan). |
|
|
Techniques include |
Logistic Regression • Decision Trees • Random Forests • Neural Networks |
|
|
|
Differential between mean and median |
Data = 0,1,1,2,6. Formular : Mean = sum of data / number of data. Median = the middle number of a given data, if two numbers are at the middle, add it up and divide by two. Mean or average = 0+1+1+2+6/5 = 2 Median = 1 |
|
