Build and Deploy Machine Learning App in Cloud with Python

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Installing Python

Lecture 3: Download the All Resources

Chapter 2: Skimage

Lecture 1: Download the Resources

Lecture 2: What is Image & Pixels

Lecture 3: Read Image in skimage

Lecture 4: Split into rgb array

Lecture 5: Convert image into grayscale

Lecture 6: Image Histogram

Lecture 7: Histogram Equalization

Lecture 8: Resize Images to any shape

Chapter 3: Image Data Preparation

Lecture 1: Download the Resources

Lecture 2: What we will do ?

Lecture 3: Understand the data what we have

Lecture 4: Get all image filename in list in Python

Lecture 5: Labeling Images

Lecture 6: Read all images from the folders and save in Pickle

Lecture 7: Visualize all images and labels

Chapter 4: Machine Learning

Lecture 1: Import Python libraries and Installations

Lecture 2: Load the Data and split into train and test set

Lecture 3: HOG Feature Extraction

Lecture 4: RGB to Gray Transformer

Lecture 5: HOG Transformer

Lecture 6: Train SGD classifier

Lecture 7: Model Evalution

Chapter 5: Grid Search for Best Hyper parameters

Lecture 1: Pipeline Model

Lecture 2: Grid Search for Parameter Tuning

Lecture 3: Best Estimator

Chapter 6: Make Pipeline

Lecture 1: Train Model and Save in pickle

Lecture 2: Make pipeline – Get the Prediction

Lecture 3: Make pipeline – Decision Function

Lecture 4: Make pipeline – pipeline model

Chapter 7: Image Classification Web App in Flask

Lecture 1: Install Visual Studio Code

Lecture 2: Download the Resources

Lecture 3: Start Flask App

Lecture 4: Download Bootstrap & JQuery

Lecture 5: Import Bootstrap 4

Lecture 6: Navigation Bar

Lecture 7: Footer

Lecture 8: Inheritance (Layout Page)

Lecture 9: File Upload (Http Request)

Lecture 10: Styling the Page with CSS

Lecture 11: File Upload Backend Operations (Flask)

Lecture 12: Integrate Machine Learning Pipeline Model

Lecture 13: Send Image from HTML to Server Side

Lecture 14: Adjust the image Height and Width Dynamically

Lecture 15: Styling HTML for the Output

Lecture 16: Error Handlers 404, 405, 500

Lecture 17: About Page & href

Chapter 8: Deploy Flask in Python Anywhere

Lecture 1: Create Account in Python Anywhere for Free

Lecture 2: Preparing Requirements

Lecture 3: Upload Flask App in Python Anywhere

Lecture 4: Installing Requirements

Lecture 5: Deploy you Flask App and get access anywhere from the World

Lecture 6: Common Error you will get while deploying the webapp

Chapter 9: Bonus Lecture

Lecture 1: Bonus Lecture: Next Steps