Introduction to Machine Learning & Supervised Learning
Machine Learning
| Beginner
- 17 videos | 46m 26s
- Includes Assessment
- Earns a Badge
Machine learning includes many different fields that focus on different problems. Explore what machine learning is and the fundamentals of supervised learning.
WHAT YOU WILL LEARN
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define machine learning and how it can be used to solve a variety of problems
define supervised machine learning
describe the fundamentals of building machine learning models to solve a problem
describe overfitting, how it can be a problem, and how to mitigate it
evaluate machine learning models and compare them
define the linear regression model for one and multiple variable problems
describe the gradient descent algorithm for training linear regression models
describe the k-nearest neighbor model and how to learn it
describe decision tree models and how to learn decision trees using the C4.5 algorithm -
setup SciKit Learn for Python
import data, and perform basic tasks with SciKit Learn for Python
use SciKit Learn to fit a linear regression model to a dataset
use SciKit Learn's k-nearest neighbor model
use SciKit Learn to fit a decision tree model to a dataset
use SciKit Learn and GraphViz to generate a decision tree model from a dataset
use SciKit Learn to calculate the precision and the recall of different machine learning models in Python
implement a linear regression model and Python and fit it to a dataset
IN THIS COURSE
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1.What Is Machine Learning?3m 13sUP NEXT
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2.Supervised Learning2m 35s
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3.How to Build Models2m 50s
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4.Overfitting1m 47s
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5.Precision and Recall2m 39s
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6.Linear Regression Model1m 25s
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7.Gradient Descent Optimization Algorithm1m 26s
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8.k-Nearest Neighbor (kNN)2m 12s
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9.Decision Tree Learning2m 19s
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10.Introducing SciKit Learn for ML in Python5m 17s
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11.Getting Started with SciKit Learn2m 42s
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12.Linear Model and Gradient Descent with SciKit Learn2m 26s
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13.k-Nearest Neighbor With SciKit Learn3m 28s
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14.Decision Tree Learning With SciKit Learn2m 22s
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15.Generating a Tree4m 52s
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16.Precision and Recall With SciKit Learn2m 54s
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17.Exercise: Use Python for Linear Regression1m 58s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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