GitHub - kalthommusa/Udacity-Intro-to-ML-with-TensorFlow: This repository contains my collections of labs' notebooks from Udacity's Intro to ML with TensorFlow.

In this course, I have learned the fundamental and most popular algorithms of supervised machine learning through real-world applications with python scikit learn. Besides the most recent skills and techniques required to train, test and evaluate machine learning models.

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
1-Linear Regression Algorithm		1-Linear Regression Algorithm
2-Perceptron Algorithm		2-Perceptron Algorithm
3-Decision Trees Algorithm		3-Decision Trees Algorithm
4-Naive Bayes Algorithm		4-Naive Bayes Algorithm
5-Support Vector Machine Algorithm		5-Support Vector Machine Algorithm
Ensemble Methods		Ensemble Methods
Model Evaluation Metrics		Model Evaluation Metrics
Training and Testing		Training and Testing
README.md		README.md