Real World Machine Learning Case Studies, Projects (Python)
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 2.09 GB
Genre: eLearning Video | Duration: 35 lectures (3 hour, 15 mins) | Language: English
Solve business problems using data science, machine learning practically and build real world projects using python

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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