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ML Engineer Course
Boost your Business Intelligence skills with our ML Engineer Course, designed for professionals keen to master machine learning in a business setup. Dive into retail sales data analysis, explore different types of data, and use advanced exploratory methods. Learn how to do time series forecasting using ARIMA, SARIMA, and LSTM models. Improve your data cleaning, model training, and how to see if your model is working properly. Lastly, get skilled in putting models to work and reporting, making sure your insights lead to making a big impact on business decisions. Join now to change the way you do BI.
- Get good at data exploration: Analyse and understand tricky retail sales data.
- Build forecasting models: Use ARIMA, SARIMA, and LSTM to make predictions.
- Make data visualization better: Create clear charts to spot trends.
- Make data cleaning the best it can be: Clean, change, and make features work well.
- Put models to work properly: Plan and do model deployment smoothly.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Boost your Business Intelligence skills with our ML Engineer Course, designed for professionals keen to master machine learning in a business setup. Dive into retail sales data analysis, explore different types of data, and use advanced exploratory methods. Learn how to do time series forecasting using ARIMA, SARIMA, and LSTM models. Improve your data cleaning, model training, and how to see if your model is working properly. Lastly, get skilled in putting models to work and reporting, making sure your insights lead to making a big impact on business decisions. Join now to change the way you do BI.
Elevify advantages
Develop skills
- Get good at data exploration: Analyse and understand tricky retail sales data.
- Build forecasting models: Use ARIMA, SARIMA, and LSTM to make predictions.
- Make data visualization better: Create clear charts to spot trends.
- Make data cleaning the best it can be: Clean, change, and make features work well.
- Put models to work properly: Plan and do model deployment smoothly.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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