Practical Machine Learning for Beginners in 2022
Requirements
- Introductory knowledge to Python suffices
Description
This course is for every beginner in the data science space. We have been there before and we understood what your learning challenges are. This short course will focus on showing you end to end what it takes to build and deploy a simple machine learning solution.
We will be building a car pricing prediction engine. This will be purely hands-on.
You will be able to deploy this solution using the flask framework as an API and also as a Platform.
We will also introduce you to libraries that make it easy to quickly explore, build, and deploy a machine learning solution.
This course assumes you do not have any prior knowledge of Machine Learning or that you have taken a couple of courses but still missing the full picture.
Machine learning models are not useful in silos and this free course will show you the full picture and cover the knowledge gaps.
You will also be able to put to use your knowledge of HTML as we build a simple web interface to interact with the solution.
This course will also introduce you to Postman Application. It is a popular use for testing API and solutions. Postman will help us to interact with the API deployment of our model while our browser is sufficient for interacting with the platform deployment.
We will be making use of the following major applications:
1. Jupyter Notebook
2. Visual Studio Code
3. Postman
Who this course is for:
- Data Science Enthusiast
- Beginner Python Developers curious about Data Science
- Data Analyst willing to move to the predictive space
- Business People curious about model building and deployment
Instructor
Olanrewaju Oyinbooke is a Data Management Expert, Data Scientist, Business Intelligence Analyst, and Power Platform Evangelist with over six (6) years of freelance and corporate experience spanning Education, FinTech, and InsurTech.
He is passionate about fixing the technical skill gap needed to accelerate growth.
Olanrewaju is a co-founder of Capacity Nigeria – an EdTech hub committed to driving Digital Literacy in Africa, Datasights Analytics – A Digital and Data Transformation Startup with a focus on Data Science and Automation Training and Implementation.
He has led the Data Management Office of a Multinational Insurance Company where he oversees the Data Science Team, Data Governance, Data Quality, and Maturity Team and drives automation initiatives across the organization.
Olanrewaju is a Microsoft Most Valuable Professional (MVP), Certified Trainer, and Certified Data Management Professional (CDMP) with over 13 relevant Microsoft Certifications, and he is an active leader in the Microsoft Ecosystem.