Yuvijen
Business Analytics for Agriculture
Books
Contact
I : Introduction
Welcome
Authors
Live Analytics Lab
Syllabus
I : Introduction
1
Introduction to data science
2
Fundamentals of Analytics Intelligence and Machine Learning
3
Fundamentals of R and R Studio
4
Data Preparation and Transformation in R
5
Data visualization in R
6
Understanding the Machine Learning Analytical Cycle
7
Descriptive Analytics
Fundamentals of Statistical Tests
8
Inferential Statistical Techniques
II : Machine and Deep Learning
9
Introduction to Supervised Learning
10
Regression Models
References
I : Introduction
Unit I — Introduction to Data Science
Introduction to Data Science
Fundamentals of Analytics, Intelligence and Machine Learning
Unit II — Fundamentals of Research
Fundamentals of R and R Studio
Data Preparation and Transformation in R
Data Visualization in R
Understanding the Machine Learning Analytical Cycle
Descriptive Analytics
Fundamentals of Statistical Tests
Inferential Statistical Techniques
Syllabus
1
Introduction to data science