Python Machine Learning Projects

Category: Tutorial

Tag: Database/SQL


Posted on 2018-06-02, by nokia241186.

Description



Duration: 2h 56m | Video: h264, 1280x720 | Audio: AAC, 44kHz, 2 Ch | 722MB
Genre: eLearning | Language: English



Machine learning gives you unimaginably powerful insights into data. implementations of machine learning have been adopted throughout Industry and its concepts are numerous. This video is a unique blend of projects that teach you what Machine Learning is all about and how you can implement machine learning concepts in practice. Six different independent projects will help you master machine learning in Python. The video will cover concepts such as classification, regression, clustering, and more, all the while working with different kinds of databases. By the end of the course, you will have learned to apply various machine learning algorithms and will have mastered Python's packages and libraries to facilitate computation. You will be able to implement your own machine learning models after taking this course.

Style and Approach
This video is a combination of six independent projects, each taking a unique dataset, a different problem statement, and a different solution.

Table of Contents
BUILD AN APP TO FIND CHEAP AIRFARES
FORECAST THE IPO MARKET USING LOGISTIC REGRESSION
CREATE A CUSTOM NEWSFEED
FORECASTING THE STOCK MARKET WITH MACHINE LEARNING
BUILD AN IMAGE SIMILARITY ENGINE
BUILDING A CHATBOT

What You Will Learn
Explore and use Python's impressive machine learning ecosystem
Successfully evaluate and apply the most effective models to problems
Learn the fundamentals of NLP-and put them into practice
Visualize data for maximum impact and clarity
Deploy machine learning models using third-party APIs
Get to grips with feature engineering

Authors
Alexander T. Combs
Alexander T. Combs is an experienced data scientist, strategist, and developer with a background in financial data extraction, natural language processing and generation, and quantitative and statistical modeling. He is currently a full-time lead instructor for a data science immersive program in New York City.
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