End-to-end Data Science and Machine Learning Project – Udemy

End-to-end Data Science and Machine Learning Project Description

End-to-end Data Science and Machine Learning Project by Udemy sheds light on the information from 1599 red wine samples to 4898 white wine samples. The variables input in the data set are the type of wine, the metrics from objective tests, etc. You should master the basics of Machine learning and data science. Also, python knowledge is crucial for you to comprehend the content of the course.

Here’s what you will learn in this course:

• Getting Started
  • Welcome
  • Dataset information
  • Dataset features
  • Dataset download
• Data cleaning and Exploratory data analysis
  • Data cleaning and quiz
  • Exploratory data analysis
• Modeling
  • Outliers and IQR: Dealing with outliers & Theory behind the models.
  • Logistic Regression – Theory
  • Cross validation
  • K-Nearest Neighbors – Theory
  • Decision Tree – Theory
  • Training other models.
  • Random forest – Theory
  • Grid Search
  • Result – How to create the barplot