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# Machine Learning with Python

# Overview

This series is designed to teach you the fundamentals of machine learning with python. It will start by introducing some basic machine learning algorithms and slowly move into more advanced topics like neural networks.

# What You’ll Learn

This series is packed full of valuable information. You will learn and understand the following after this tutorial:

- Linear Regression
- K-Nearest Neighbors
- Support Vector Machines
- K-Means
- Neural Networks
- Conventional Neural Networks

# Prerequisites

This is NOT a beginner tutorial and I will not be teaching python syntax.

- Intermediate/Advanced Programming Knowledge
- Experience With Python 3 Syntax

IntroductionLinear Regression P.1Linear Regression P.2Saving & Training Multiple ModelsKNN P.1 – Irregular DataKNN P.2 – How Does it Work?KNN P.3 – ImplementationSVM P.1 – Loading Sklearn DatasetsSVM P.2 – How Does A SVM Work?SVM P.3 – ImplementationK Means Clustering P.1 – How it WorksK Means Clustering P.2 – Implementing K Means