Yuvijen
Business Analytics for Agriculture
Books
Contact
I : Introduction
1
Welcome
Authors
Live Analytics Lab
Syllabus
I : Introduction
2
Introduction to data science
3
Fundamentals of Analytics Intelligence and Machine Learning
4
Fundamentals of R and R Studio
5
Data Preparation and Transformation in R
6
Data visualization in R
7
Understanding the Machine Learning Analytical Cycle
8
Descriptive Analytics
Fundamentals of Statistical Tests
9
Inferential Statistical Techniques
II : Machine and Deep Learning
10
Introduction to Supervised Learning
11
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
2
Introduction to data science