An Introduction To Machine Learning And NLP in Python

8.5 Hours

Deal Price$14.99

Suggested Price$99.99

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An Introduction to Machine Learning & NLP in Python

38 Lessons (8.5h)

Introduction
What this course is about3:17
Jump right in : Machine learning for Spam detection
Machine Learning: Why should you jump on the bandwagon?16:31
Plunging In - Machine Learning Approaches to Spam Detection17:01
Spam Detection with Machine Learning Continued17:04
Get the Lay of the Land : Types of Machine Learning Problems17:26
Naive Bayes Classifier
Random Variables19:53
Bayes Theorem18:53
Naive Bayes Classifier9:11
Naive Bayes Classifier : An example14:18
K-Nearest Neighbors
K-Nearest Neighbors13:25
K-Nearest Neighbors : A few wrinkles15:19
Support Vector Machines
Support Vector Machines Introduced8:31
Support Vector Machines : Maximum Margin Hyperplane and Kernel Trick16:40
Clustering as a form of Unsupervised learning
Clustering : Introduction19:00
Clustering : K-Means and DBSCAN13:42
Association Detection
Association Rules Learning9:32
Dimensionality Reduction
Dimensionality Reduction17:39
Principal Component Analysis19:18
Artificial Neural Networks
Artificial Neural Networks I Perceptron introduced(via Support Vector Machines)18:56
Perceptron : How it works6:46
Regression as a form of supervised learning
Regression Introduced : Linear and Logistic Regression14:10
Bias Variance Trade-off10:13
Natural Language Processing and Python
Natural Language Processing with NLTK7:26
Natural Language Processing with NLTK - See it in action14:14
Web Scraping with BeautifulSoup18:09
A Serious NLP Application : Text Auto Summarization using Python12:00
Python Drill : Autosummarize News Articles I18:33
Python Drill : Autosummarize News Articles II11:28
Python Drill : Autosummarize News Articles III10:23
NLP and Machine Learning
Put it to work : News Article Classification using K-Nearest Neighbors20:01
Put it to work : News Article Classification using Naive Bayes Classifier19:47
Python Drill : Scraping News Websites15:45
Python Drill : Feature Extraction with NLTK18:51
Python Drill : Classification with KNN4:15
Python Drill : Classification with Naive Bayes8:08
Document Distance using TF-IDF11:22
Put it to work : News Article Clustering with K-Means and TF-IDF15:07
Python Drill : Clustering with K Means8:32

DescriptionInstructorImportant DetailsRelated Products

Start Your Foray into the Future of AI with Help from the Pros

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

If you're at all interested in the technology that powers Siri, self-driving cars, and other AI innovations, you'll need to get comfortable with machine learning. This course features training from Silicon Valley pros with decades of experience under their belts. Even if you've never touched a line of code before, these experts will help you put Machine Learning and Python into action and harness a new level of programming power.

Access 38 lectures & 8.5 hours of content 24/7
Get introduced to Machine Learning
Learn from a team w/ decades of practical experience in quant trading, analytics & e-commerce
Understand complex programming subjects w/ the help of animations
Discover how to implement natural language processing & machine learning for text classification in Python

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

Requirements

Internet required

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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