ML Engineer Course
What will I learn?
Boost your Business Intelligence skills with our ML Engineer Course, designed for professionals keen to master machine learning in business contexts. Dive into retail sales data analysis, explore different data types, and apply advanced exploratory techniques. Learn time series forecasting using ARIMA, SARIMA, and LSTM models. Improve your data preprocessing, model training, and evaluation skills. Finally, get proper expertise in model deployment and reporting, making sure your insights lead to impactful business decisions. Join now to change your BI abilities for the better.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Get properly good at data exploration: Analyse and understand complex retail sales data.
Build forecasting models: Use ARIMA, SARIMA, and LSTM for predictions.
Make data visualization better: Create proper insightful charts to spot trends.
Improve data preprocessing: Clean, transform, and engineer features properly and effectively.
Deploy models properly: Plan and do seamless model deployment.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.