Making Predictions with Data and Python

Author: sddd on 13-10-2017, 03:57
Making Predictions with Data and Python
Making Predictions with Data and Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 4 Hours | 771 MB
Genre: eLearning | Language: English


Making Predictions with Data and Python

Python has become one of any data scientist's favorite tools for doing Predictive Analytics. In this hands-on course, you will learn how to build predictive models with Python.
During the course, we will talk about the most important theoretical concepts that are essential when building predictive models for real-world problems. The main tool used in this course is scikit -learn, which is recognized as a great tool: it has a great variety of models, many useful routines, and a consistent interface that makes it easy to use. All the topics are taught using practical examples and throughout the course, we build many models using real-world datasets.
By the end of this course, you will learn the various techniques in making predictions about bankruptcy and identifying spam text messages and then use our knowledge to create a credit card using a linear model for classification along with logistic regression.
Download link :
(If you need these, buy and download immediately before they are delete)
Links are Interchangeable - Single Extraction - Premium is support resumable
Making Predictions with Data and Python
Making Predictions with Data and Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 4 Hours | 771 MB
Genre: eLearning | Language: English


Making Predictions with Data and Python

Python has become one of any data scientist's favorite tools for doing Predictive Analytics. In this hands-on course, you will learn how to build predictive models with Python.
During the course, we will talk about the most important theoretical concepts that are essential when building predictive models for real-world problems. The main tool used in this course is scikit -learn, which is recognized as a great tool: it has a great variety of models, many useful routines, and a consistent interface that makes it easy to use. All the topics are taught using practical examples and throughout the course, we build many models using real-world datasets.
By the end of this course, you will learn the various techniques in making predictions about bankruptcy and identifying spam text messages and then use our knowledge to create a credit card using a linear model for classification along with logistic regression.
Download link :
(If you need these, buy and download immediately before they are delete)
Links are Interchangeable - Single Extraction - Premium is support resumable
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