Machine Learning Tutorial with Python

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Practical Machine Learning Tutorial with Python

Regression Intro

Regression Features and Labels

Regression Training and Testing

Regression forecasting and predicting

Pickling and Scaling

Regression How it Works

How to program the Best Fit Slope

How to program the Best Fit Line

R Squared Theory

Programming R Squared

Testing Assumptions

K Nearest Neighbors Application

Euclidean Distance

Creating Our K Nearest Neighbors Algorithm

Writing our own K Nearest Neighbors in Code

Applying our K Nearest Neighbors Algorithm

Final thoughts on K Nearest Neighbors

Support Vector Machine Intro and Application

Understanding Vectors

Support Vector Assertion

upport Vector Machine Fundamentals

Support Vector Machine Optimization

Creating an SVM from scratch

SVM Training

SVM Optimization

Completing SVM from Scratch

Kernels Introduction

Why Kernels

Soft Margin SVM

Soft Margin SVM and Kernels with CVXOPT

SVM Parameters

Clustering Introduction

Handling Non-Numeric Data

K Means with Titanic Dataset

Custom K Means

K Means from Scratch

Mean Shift Intro

Mean Shift with Titanic Dataset

Mean Shift from Scratch

Mean Shift Dynamic Bandwidth

Deep Learning with Neural Networks and TensorFlow Introducti

Installing TensorFlow

TensorFlow Basics

Neural Network Model

Running our Network

Processing our own Data

Preprocessing

Training/Testing on our Data

Using More Data

Installing the GPU version of TensorFlow

Installing CPU and GPU TensorFlow on Windows

Recurrent Neural Networks

RNN Example in Tensorflow

Convolutional Neural Networks Basics

Convolutional Neural Networks with TensorFlow

TFLearn

Training a neural network to play a game with TensorFlow and

Training Data

Training Model

Testing Network

Intro and preprocessing

Intro and preprocessing

Building the Network

Training

Using our Network

3D Convolutional Neural Network w/ Kaggle

Reading Files

Visualizing

Resizing Data

Preprocessing data - 3D Convolutional Neural Network

Running the Network