h264, yuv420p, 1280x720 |ENGLISH, 44100 Hz, 2 Channels | 23h 56mn | 12.62 GB

Going Beyond Machine Learning Models

What you'll learn

Building Machine Learning Models with Python

Build Machine Learning Web Apps

How to Convert ML Models into Simple and Useful Products

How to Use ML Models as Packages

Embedding ML Models into Web Apps [Flask,Streamlit,etc]

How to use Streamlit to build ML apps

How to use Flask to build web applications

Productionize ML Models

Requirements

Understand the basics of python and machine learning

Basic Knowledge of HTML,CSS

Ability to work around a computer and a terminal

Determination

Description

Course Description

Artificial Intelligence and Machine Learning is affecting every area of our lives and society. Google, Amazon, Netflix, Uber, Facebook and many more industries are using AI and ML models in their products.

The opportunities and advantages of Machine Learning is quite numerous.

What if you could also build your own machine learning models?

What if you can build something useful from the ML model you have spend time creating and make some profit whiles helping people and changing the world?

In this wonderful course, we will be exploring the various ways of converting your machine learning models into useful web applications and products.

We will move beyond just building machine learning models into build products from our ML Models.

Products that you can give to your customers and other users to benefit from. We will be adding simple UI to our AI and ML models.

With every section of the course you will develop new skills and improve your understanding of this challenging yet important sub-field of Data Science and Machine Learning.

This course is unscripted,fun and exciting but at the same time we dive deep into building Machine Learning web applications.

What You will Gain in this Course

In this course you will develop new skills as you learn:

how to setup your Data Science and ML work-space locally.

how to build machine learning models.

how to interpret ML models with Eli5.

how to serialize and save ML models.

how to build ML web apps using the models we have created.

how to build packages from your ML Models.

how to deploy your products.

etc

Join us as we explore the world of building Machine Learning apps and tools.

Who this course is for:

Programmers and Developers

Any one interested in building web apps

ML Engineers and Data Scientist

Beginner Python Developers interested in Machine Learning and Data Science

People curious about how to build and productionize their machine learning models