# 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

Introduction

Linear Regression P.1

Linear Regression P.2

Saving & Training Multiple Models

KNN P.1 – Irregular Data

KNN P.2 – How Does it Work?

KNN P.3 – Implementation

SVM P.1 – Loading Sklearn Datasets

SVM P.2 – How Does A SVM Work?

SVM P.3 – Implementation

K Means Clustering P.1 – How it Works

K Means Clustering P.2 – Implementing K Means

This series is designed to teach you the fundamentals of machine learning with python.

Tech with Tim Machine Learning with Python

Machine Learning with Python