Introduction-Machine-Learning

This is my notebook during take the course Introduction to Machine Learning with Python in Udemy platform.

Course information is in the below

Course name: Introduction to machine learning and Face Detection in Python

Name		Name	Last commit message	Last commit date
Latest commit History 34 Commits
Project - Face Detection		Project - Face Detection
Section 2a - Linear Regression		Section 2a - Linear Regression
Section 2b - Logistic Regression		Section 2b - Logistic Regression
Section 3 - K-Nearest Neighbor Classifier		Section 3 - K-Nearest Neighbor Classifier
Section 4 - Naive Bayes Classifier		Section 4 - Naive Bayes Classifier
Section 5 - Support Vector Machine SVM		Section 5 - Support Vector Machine SVM
Section 6a - Decision Trees		Section 6a - Decision Trees
Section 6b - Random Forests		Section 6b - Random Forests
Section 7a - Principal Component Analysis		Section 7a - Principal Component Analysis
Section 7b - K-means clustering		Section 7b - K-means clustering
Section 7c - DBSCAN		Section 7c - DBSCAN
Section 7d - Hierarchical clustering		Section 7d - Hierarchical clustering
Section 8 - Neural Networks		Section 8 - Neural Networks
README.md		README.md

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