Build and Deploy Machine Learning App in Cloud with Python

🌟 Course Title: Build and Deploy Machine Learning App in Cloud with Python - Develop and Deploy Image Classification Web App on Python Anywhere Cloud Platform using Python, Flask, Skimage

Course Headline:

🚀 Deploy End to End Machine Learning-based Image Classification Web App in Cloud Platform from Scratch! 🖼️

Welcome to 'Deploy End to End Machine Learning-based Image Classification Web App in Cloud Platform from Scratch!'

Image Processing & Classification is a cornerstone of Data Science with wide applications across various industries. Companies are on the hunt for skilled Data Scientists who can handle image data with proficiency. This course takes you through the entire pipeline, right from the basics to deploying your model in the cloud.

Course Overview:

• Scikit Image for Image Processing: Master this essential skill for image processing.
• Preprocessing Techniques & Feature Extraction: Learn how to preprocess images and extract features using techniques like HOG (Histogram of Oriented Gradients).
• Labeling Images, Data Preprocessing, and Analysis: Get hands-on experience with scikit image for labeling, preprocessing, and analyzing your image data.
• Model Training & Evaluation: Explore Stochastic Gradient Descent (SGD) Classifier for effective image classification, and walk through the evaluation process to build a robust pipeline.
• Building & Deploying a Web App in Flask: Create a web application using HTML, CSS, and Bootstrap that interacts with your machine learning model.
• Deployment on Python Anywhere: Learn how to deploy your Flask web app in the cloud using Python Anywhere, a versatile cloud platform.

What You Will Learn:

• 🐍 Python: Solidify your Python coding skills.
• ✨ Scikit Image: Become proficient with image processing tasks.
• 📊 Data Preprocessing: Understand and apply the necessary steps for data preparation.
• 🔤 HOG: Learn to use Histogram of Oriented Gradients for feature extraction in image analysis.
• ⚙️ Base Estimator and TransformerMixIn: Dive into the machine learning model components.
• 🎯 SGD Classifier: Implement Stochastic Gradient Descent for image classification tasks.
• 🛠️ Create and Make Pipeline Model: Learn to create a machine learning pipeline using scikit-learn.
• 🔄 Hyperparameter Tuning: Discover methods to fine-tune your model's hyperparameters for optimal performance.
• 🚀 Flask: Develop web applications with Flask, a powerful micro web framework in Python.
• 🌍 HTTP Methods: Understand and implement RESTful HTTP methods in your Flask app.
• ☁️ Deploy in PythonAnywhere: Deploy your web application on the cloud with Python Anywhere.

Have Questions? Ask Away! 🤔

We understand that Image Classification with a Flask Web App can be quite an adventure, and you might have some questions along the way. Our Q&A section is here to assist you every step of the journey! 🤝

I'm thrilled to guide you through this course and watch you turn into a proficient machine learning engineer capable of deploying robust image classification web apps in the cloud. Let's get started! 🚀💻