Skip to main content
Back to top
Ctrl
+
K
An Introduction to Machine Learning
1. Introduction to Machine Learning
1.13. History of Machine Learning
1.14. Python Ambient - Anaconda, Colab and Kaggle
1.15. Python Programming
1.15.1. Introduction Python Programming
1.15.2. List arrays
1.16. Statistics
1.17. Mathematics and Linear Algebra
2. Big Data - Intro Data Engineering using Spark and Hadoop
3. Data Preprocessing
4. Supervised Learning
5. Unsupervised Learning
6. Deep Learning and Neural Networks
7. Reinforcement Learning
8. Computer Vision
9. Natural Language Processing
10. Time Series
Repository
Open issue
.md
.pdf
Statistics
1.16.
Statistics
#
