Building Machine Learning Web Apps
Going Beyond ML Models
Building Machine Learning Web Apps
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.
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 learn
Join us as we explore the world of building ML Web Apps and Products in python.
See you in the Course,Stay blessed.
This is an ongoing course which will be periodically updated
Jesse E. Agbe
Introduction and Course Outline
FREE PREVIEWObjectives and Where to Find Help
FREE PREVIEWTypes of Machine Learning Apps
FREE PREVIEWFour Ways To Productionize Machine Learning Models
FREE PREVIEWHow To Set Up Your Workspace -Intro
FREE PREVIEWCreating a Virtual Environment with Pipenv
Switching Between Virtual Environment with Pipes
Python Package and Dependency Management with Poetry
Where to Get Datasets For Practice.
List of Datasets(Where To Find Datasets)
Packages Used In this Course
01-Building ML Models - Salary Prediction -Introduction
02-Building ML Models-Salary Prediction - Building Our Models with Sklearn
03-Building ML Models - Interpreting the Model
04-Building ML Models - Bible Passage and Author Prediction
05-Building ML Models - How to Save Your ML Models
06 - Building ML Models - Gender Classification of Names
07 - Building ML Models - Predicting Customer Churning
08 - Building ML Models - Predicting Customer Churning - Interpreting the Model
Evaluating Car Quality with Machine Learning in Python
Flask Crash Course - Installation and Basic App
Flask Crash Course - Rendering HTML
Flask Crash Course -Working with Jinja(Sending Data From Back-End to Front-End)
Flask Crash Course - Receiving Input From Front End to BackEnd
Flask Crash Course - Processing Data At Backend
Flask Crash Course - Working with Databases using SQLAlchemy
Flask Crash Course - Retrieving Data From Database
Flask Crash Course - Searching Database
Streamlit Crash Course 1
Streamlit Crash Course 2 - Work Arounds and Plots
FastAPI Tutorial - Basics
Hug Framework Tutorial
Building A Simple Blog App with Streamlit and Python
Adding a Simple Login & Sign Up Section to Streamlit App
Updating our Streamlit Blog with Login and Sign Up
Securing the Login Section Against SQL Injection
Introduction
FREE PREVIEWCMC Predictor ML App with Streamlit - Demo
Setting Up Our Workspace For the CMC- Predictor App
Building the EDA Section of CMC Predictor ML App
Building the Prediction Section of CMC_ Predictor ML App
Building ML Flask Apps-News Classifier-App -Demo
FREE PREVIEWBuilding ML Flask App-News Classifier- Setting Up and Basic App
Building ML Flask Apps - News Classifier - Embedding Our ML Models
Building ML Flask App - News Classifier - Beautifying The Front-End
Salary Predictor ML App with Streamlit -Demo
Setting Up Our Workspace ,Installation and App Structure
Building The Exploratory Data Analysis Section(EDA) of Our Salary Predictor ML App
Building The EDA Section of Salary Predictor ML App [Part 2]
Building The Prediction Section Of Our Salary Predictor ML App
Building NLP Apps - Sentiment Analysis App with Streamlit
Building NLP Apps - Summarizer and Entity Checker App with Streamlit and SpaCy
Building NLP Apps -Document Redactor App with SpaCy and Streamlit
Predicting Customer Churn ML App with Streamlit -Demo
Building Customer Churn Prediction ML App
Building A Drag & Drop Semi-Automated ML App
Password Strength Classifier ML App
Car Evaluation ML App with Streamlit
Face Detection App-Demo
Building Computer Vision ML App - Face Detection App
Face Detection App - Files and Code
Emoji Lookup App -Demo
Simple Streamlit App with Login and Sign-Up Section
Search Term Trend App For Programming Languages
Building a Programming Languages Trends App with Streamlit using the Layout
Your Opinion About the Course So Far
How To Deploy Streamlit Apps to Heroku
Updating An Already Deployed Streamlit App on Heroku
How To Deploy Streamlit on AWS Ec2
How To Deploy Streamlit Apps with Docker
How To Deploy Streamlit Apps to GCP App Engine
Deploying with Docker and GCP Documents
Updating and Deleting A Deployed Streamlit App on GCP
How to Deploy Streamlit OpenCV Face Detection on Heroku
Course Materials and Resources
Using ML Models as Packages-NewsClassifier-Demo
NewsClassifier ML Package - Designing the Package
NewsClassifier ML Package - Loading The ML Models
NewsClassifier ML Package- Classifying News
NewsClassifier ML Package - Unit Testing Our Package
NewsClassifier ML Package - Building Our Package with Setuptools
NewsClassifier ML Package - Publishing to TestPyPI and PyPI
NewsClassifier ML Package - Building with Poetry
Using ML Models as Packages - GenderClassifier-Demo
FREE PREVIEWGenderClassifier ML Package - Creating Package and the Class Object
GenderClassifier ML Package - Adding the Prediction Function
GenderClassifier ML Package - Loading Different Models
GenderClassifier ML Package - Classifying Names
GenderClassifier ML Package - Unit Testing Our Package
GenderClassifier ML Package - Building the Package with Setuptools
GenderClassifier ML Package - Building Our Package with Poetry
GenderClassifier ML Package - Publish the Package to PyPI with Poetry
SpamDetector ML Package -Indepth with Poetry
FastAPI Tutorial-Serving ML Models As API
FastAPI Tutorial-Adding Validations
FastAPI Tutorial - How to Build A Web /REST API
Hug Framework Crash Course
Hug Framework - Building 3 ML Products At Once with Hug
Data Science Project From Scratch - Predicting Hepatitis Mortality with ML
Building ML Web App with Streamlit - Hepatitis Predictor ML App
Building ML Web App with Flask - Hepatitis Predictor ML App