Skip to content Skip to sidebar Skip to footer

Practical Machine Learning: Real World Case Studies

 

Practical Machine Learning: Real World Case Studies

GET STARTED UDEMY COUPON CODE

Practical Machine Learning: Real World Case Studies Solve business problems using data science, machine learning practically and build real world projects using python.
New
Created by Pianalytix .

  • Build machine learning models
  • Exploratory data analysis
  • Feature engineering
  • Feature Selection

Requirements

  • Knowledge Of Machine Learning
  • Knowledge Of Python

Description

In this tutorial, you will discover how to develop and evaluate a model for the imbalanced adult income classification dataset.

After completing this tutorial, you will know:

  • How to load and explore the dataset and generate ideas for data preparation and model selection.
  • How to systematically evaluate a suite of machine learning models with a robust test harness.
  • How to fit a final model and use it to predict class labels for specific cases.

Many binary classification tasks do not have an equal number of examples from each class, e.g. the class distribution is skewed or imbalanced.

A popular example is the adult income dataset that involves predicting personal income levels as above or below $50,000 per year based on personal details such as relationship and education level. There are many more cases of incomes less than $50K than above $50K, although the skew is not severe.


Who this course is for:

  • Beginners in machine learning

GET STARTED UDEMY COUPON CODE

Online Course CoupoNED
Online Course CoupoNED I am very happy that there are bloggers who can help my business

Post a Comment for "Practical Machine Learning: Real World Case Studies "

Subscribe via Email