An Easy Introduction To Machine Learning Using Scikit-Learn

Name: An Easy Introduction To Machine Learning Using Scikit-Learn
Brand: Loonycorn
Price: 14.99 USD
Availability: Discontinued

2 Hours

Deal Price$14.99

Suggested Price$99.99

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17 Lessons (2h)

Introduction
You, This Course and Us1:56
Source Code and PDFs
Install Anaconda2:21
What is ML?
What is Machine Learning?10:42
Types of Machine Learning - Supervised Learning and Linear Regression10:29
Types of Machine Learning - Logistic Regression and Unsupervised Learning8:22
Support Vector Machines (SVMs)
What is an SVM? How do they work?6:39
SVM Lab (1): Loading and examining our data set9:11
SVM Lab (2): Building and tweaking our SVM classification model9:08
Decision Trees
What is a Decision Tree?6:12
Building a Decision Tree - Decision Tree Learning7:43
Building a Decision Tree - Information Gain and Gini Impurity9:16
Decision Trees Lab (1): Building our first Decision Tree5:20
Decision Trees Lab (2): Viewing and tweaking our Decision Tree5:51
Overfitting - the Bane of Machine Learning
What is Overfitting? And Why is it a Problem?9:26
Avoiding Overfitted Models - Cross Validation and Regularization8:17
Ensemble Learning and Random Forests
Teamwork: How Ensembles like Random Forest Mitigate the Problem of Overfitting9:03
Random Forest Lab: Use an Ensemble of Decision Trees to Get Better Results4:48

DescriptionInstructorImportant DetailsRelated Products

Dive Into Automated Decision-Making with Python's Scikit-Learn

Loonycorn

Instructor

Loonycorn is comprised of a couple of individuals —Janani Ravi and Vitthal Srinivasan—who have honed their tech expertise at Google and Stanford. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

Description

Classification models play a key role in helping computers accurately predict outcomes, like when a banking program identifies loan applicants as low, medium, or high credit risks. This course offers an overview of machine learning with a focus on implementing classification models via Python's scikit-learn. If you're an aspiring developer or data scientist looking to take your machine learning knowledge further, this course is for you.

Access 17 lectures & 2 hours of content 24/7
Tackle basic machine learning concepts, including supervised & unsupervised learning, regression, and classification
Learn about support vector machines, decision trees & random forests using real data sets
Discover how to use decision trees to get better results

Specs

Important Details

Length of time users can access this course: lifetime
Access options: web
Certification of completion not included
Redemption deadline: redeem your code within 30 days of purchase
Experience level required: basic

Terms

Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.

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