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Real World Machine Learning Case Studies, Projects (Python)

Solve business problems using data science, machine learning practically and build real world projects using python
Instructor:
Pianalytix .
4,461 students enrolled
English [Auto]
Build machine learning models
Exploratory data analysis
Feature engineering
Feature Selection

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

  1. Walmart Sales Forecasting Using Regression Analysis

  2. Flight Fare Prediction

  3. Predicting diabetes based on diagnostic measures

  4. Predicting Heart disease based on a diagnosis report

Introduction

1
Introduction to the course

Case Study-1 Walmart Sales Forecasting

1
Introduction to the case study
2
Download the dataset and notebook
3
Importing the libraries & Dataset
4
Understanding the features
5
Data Visualization
6
Feature Engineering
7
Exploratory Data Analysis
8
Prepare Data For Model Building
9
Building the Machine Learning Model

Case Study-2 Flight Fare Prediction

1
Introduction to the case study
2
Download the dataset and notebook
3
Importing libraries & dataset
4
Exploring the various features
5
Data visualization
6
Feature Engineering
7
Data visualization part 2
8
One hot encoding the features
9
Model building part 1
10
Model building part 2

Case Study-3 Predicting the diabetes based on diagnostic measures

1
Introduction to the Casestudy
2
Download the dataset and notebook
3
Importing Libraries & Dataset
4
Exploring the Dataframe
5
Data Visualization
6
Checking the Correlations
7
Building the Machine Learning Model

Case Study-4 Predicting Heart disease based on diagnosis report

1
Introduction to the Casestudy
2
Download the dataset and notebook
3
Importing the Libraries & Dataset
4
Exploratory Data Analysis Part 1
5
Exploratory Data Analysis Part 2
6
Feature Scaling
7
Building Machine Learning Model
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Includes

3 hours on-demand video
4 articles
Full lifetime access
Access on mobile and TV
Certificate of Completion

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