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This course is all about having the basic knowledge of machine learning and the field of data science. The course describes the entire workflow of machine learning starting from data preprocessing to model deployment. It first teaches about how to build accurate and detailed machine learning models and later explains the full product lifestyle. This course describes concepts like Python programming, analysing large data sets, numerical computing, mathematical operations and more. You will also cover ways and techniques to use NumPy and Pandas for detailed analysis and solve different problems.
Topics Covered:
- Flask App: Learn how to create a flask app by importing data and libraries and start your journey by running the app.
- Watermark: Learn how to create a watermark on both text and image and start deploying the app on Heroku.
- Classification: After you import the data and libraries, start creating and testing the model and lastly download the project files.
- Extractor: Understand how to work with the text extractor app by creating, running and modifying it.
- Face Swap Application: Get briefed about the process of face swapping, start by preprocessing the data and later create the output.
- ML Model: Learn how to create an ML model and process the data related to bird species prediction.
- Language Translator: Start by coding the UI and later setting the service and integrating the service for the language translator.
- And Many More Topics..
Who Will Benefit?
- Full Stack Developers: Individuals who are keen to learn how to build web applications with the help of Flask and other apps.
- Machine Learners: All those who are experienced with implementing machine learning and are working on several industry projects.
- Python Programmers: All those who have primary knowledge of Python and want to learn in depth about app development.
- Students Of Data Science: Students who want to learn the practical application of machine learning and language translation with the apps.
Why Choose This Course?
By enrolling in this course, you will learn about the two significant processes, building detailed models and analysing the same. You will also gain skills to analyse the entire workflow of machine learning and have real-world experiences as you work on projects and practical theory. This course benefits you by teaching code in Python 3 and explaining to you the steps to draft clear databases for in-depth analysis. By the end of the course, you will learn how to use NumPy for the concept of numerical computing and Pandas for data analysis.
