Project Work and Deployment (Day 41 – Day 45)
After spending 40 Days with Machine Learning, you will be done with almost all the elements that are required for a beginner professional. This is the time now to move forward to start working on some projects that will enhance your skills and will help you in becoming a proficient expert,
Deployment is a very crucial phase while working on any project as it helps to reach (and access) the users. For that, you’ll be required to push your project into production for real-time application. The first step in the process is to learn to connect your python code for an ML model with a website that can be hosted for the public. The most important and famous module you need to learn for python code deployment is Flask. Flask is a simple module that allows you to send and receive data and process it using an ML model. Refer: Model Deployment – Python.
Linked here is a simple flask code tutorial that one can refer.
Finally, if your web flask app work on a local host the final step is to deploy it using any of the following tools:
- Azure
- Heroku
- Render
With this complete roadmap followed religiously one can undeniably say that they can easily build projects in ML projects.
Learn Machine Learning in 45 Days
Machine Learning has become one of the most demanding technologies in the world. It is well capable of automating tasks and too with intelligence (like a human touch). This process allows machines to automate tasks by delivering intelligence via machines. Machine Learning has drastically surged in the past few years and its market is expected to grow from USD 21.17 billion (2022) to USD 209.91 billion (2029), at a CAGR of above 38% during the forecast period.
Today, Machine Learning is actively helping businesses automate and deliver their tasks efficiently. Besides this, it also helps create models that can handle large sets of data that can be highly scalable and functional with less TAT. That is why Engineers and businesses are more involved in building such precise ML models that can leverage profitable opportunities and avoid unknown risks.
Some of the most famous applications of Machine Learning are in Image recognition, text generation, and so on that, we’re seeing in today’s applications and software. These are some of the notable scopes for machine learning experts to shine as sought-after professionals. If you’ll look into it from a career perspective, as of now, there are over 15,000 active job openings in India & above 270k worldwide. Being one of the most demanding, high-paying jobs has made many individuals pave their careers toward Machine Learning.
Perhaps, by the above-mentioned stats, you must have understood the importance of Machine Learning in today’s world. Being a beginner’s level is pretty hard to acknowledge the learning path in well-sync form. This is why we came up with this article to help you with the basics with a deep understanding. After going through this chart, you’ll learn How to Start Your Journey in Machine Learning and become an ML expert in 45 Days.
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