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- Created by Sudhir G
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- Practical Machine Learning by Example in Python
- Machine Learning A-Z™: Hands-On Python & R In Data Science
- Machine Learning, Data Science and Deep Learning with Python
- Machine Learning with Javascript
- A Beginner's Guide To Machine Learning with Unity
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Description
In this course, you will learn end to end process and able to build any artificial intelligence Project. Starting from
Gathering the data,
Data Understanding
Data Preprocessing
Data Analysis
Predictive Modelling
Create REST APIs in Flask
You will image processing techniques in OpenCV and the concepts behind the images. We will also do the necessary image analysis and required preprocessing steps for images.
For the preprocess images, we will extract features from the images, ie. computing Eigen images using principal component analysis. With Eigen images, we will train the Machine learning model and also learn to test our model before deploying, to get the best results from the model we will tune with Grid search method for best hyperparameters.
Once our machine learning model is ready, will we learn and develop web server gateway interphase in flask by rendering HTML CSS and bootstrap in the frontend and in the backend written in Python. Finally, we will create the project on the Face Recognition project by integrating the machine learning model to Flask App.
Who this course is for:
Any one who want to learn image processing and build data science applications
Beginners on Python who want to data science project
Who want to start their career in artificial intelligence and data science
Data science beginner who want to build end to end data science project
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