Autoplay
Autocomplete
Previous Lesson
Complete and Continue
Python Machine Learning Projects
Build an App to Find Cheap Airfares
The Course Overview (2:38)
Sourcing Airfare Pricing Data (3:45)
Retrieving the Fare Data with Advanced Web Scraping Techniques (5:06)
Parsing the DOM to Extract Pricing Data (16:17)
Sending Real-Time Alerts Using IFTTT (3:42)
Putting It All Together (3:17)
Forecast the IPO Market Using Logistic Regression
The IPO Market (12:59)
Feature Engineering (8:18)
Binary Classification (6:08)
Feature Importance (4:54)
Create a Custom Newsfeed
Creating a Supervised Training Set with the Pocket App (9:10)
Using the embed.ly API to Download Story Bodies (3:09)
Natural Language Processing Basics (7:23)
Support Vector Machines (3:40)
IFTTT Integration with Feeds, Google Sheets, and E-mail (8:10)
Setting Up Your Daily Personal Newsletter (4:23)
Forecasting the Stock Market with Machine Learning
What Does Research Tell Us about the Stock Market? (5:37)
Developing a Trading Strategy (12:01)
Building a Model and Evaluating Its Performance (6:58)
Modeling with Dynamic Time Warping (5:34)
Build an Image Similarity Engine
Machine Learning on Images (4:49)
Working with Images (4:16)
Finding Similar Images (7:37)
Building an Image Similarity Engine (9:54)
Building a Chatbot
The Design of Chatbots (6:38)
Building a Chatbot (10:02)
Creating a Supervised Training Set with the Pocket App
To create a model, we have to first have a training dataset. We will use the pocket app for this.
Complete and Continue