Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 2.09 GB | Duration: 5 sections | 35 lectures | (3h 15m)
What you'll learn
Build machine learning models
Exploratory data analysis
Feature engineering
Feature Selection
Requirements
Knowledge Of Machine Learning
Knowledge Of Python
Description
Machine learning is not like any other technology, but it is in many cases the only technology that can solve certain problems. We need to ensure that all people involved in the project have a common understanding of what is required, how the process works, and that we have a realistic view of what is possible with the tools at hand. To boil down all this to its core components we could consider a few important rules:
create a common ground of understanding, this will ensure the right mindset
state early how progress should be measured
communicate clearly how different machine learning concepts works
acknowledge and consider the inherited uncertainty, it is part of the process
In this course, we are going to work on the following projects
Walmart Sales Forecasting Using Regression Analysis
Flight Fare Prediction
Predicting diabetes based on diagnostic measures
Predicting Heart disease based on a diagnosis report
Who this course is for:
Beginners in machine learning
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