Real-World Machine Learning Projects with Scikit-Learn
Real-World Machine Learning Projects with Scikit-Learn
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 498 MB
Genre: eLearning | Language: English
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 498 MB
Genre: eLearning | Language: English
Scikit-Learn is one of the most powerful Python Libraries with has a clean API, and is robust, fast and easy to use. It solves real-world problems in the areas of health, population analysis, and figuring out buying behavior, and more.
In this course you will build powerful projects using Scikit-Learn. Using algorithms, you will learn to read trends in the market to address market demand. You'll delve more deeply to decode buying behavior using Classification algorithms; cluster the population of a place to gain insights into using K-Means Clustering; and create a model using Support Vector Machine classifiers to predict heart disease.
By the end of the course you will be adept at working on professional projects using Scikit-Learn and Machine Learning algorithms.
The code bundle for this video course is available at - https://github.com/PacktPublishing/Real-World-Machine-Learning-Projects-with-Scikit-Learn
Real-World Machine Learning Projects with Scikit-Learn
