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Machine Learning Python Course
Unlock the potential of data with our Machine Learning Python Course, specifically designed for Business Intelligence professionals in India. Delve into data exploration and analysis, master pre-processing techniques, and leverage machine learning algorithms such as linear regression and decision trees. Learn feature engineering, model training, and evaluation, and optimise your models through hyperparameter tuning. Finally, cover model deployment and documentation to ensure your skills are ready for practical, real-world applications in the Indian context. Enrol now to boost your BI capabilities!
- Master model deployment: Save, load, and document models for easy integration into systems.
- Enhance feature engineering: Develop interaction features and extract valuable insights from date information.
- Optimise model training: Implement train-test splits and assess model performance using relevant metrics.
- Explore data effectively: Analyse data structures and load datasets efficiently using Pandas.
- Refine pre-processing skills: Normalise, scale, and encode categorical data in an optimised manner.

flexible workload of 4 to 360h
certificate recognized by MEC
What will I learn?
Unlock the potential of data with our Machine Learning Python Course, specifically designed for Business Intelligence professionals in India. Delve into data exploration and analysis, master pre-processing techniques, and leverage machine learning algorithms such as linear regression and decision trees. Learn feature engineering, model training, and evaluation, and optimise your models through hyperparameter tuning. Finally, cover model deployment and documentation to ensure your skills are ready for practical, real-world applications in the Indian context. Enrol now to boost your BI capabilities!
Elevify advantages
Develop skills
- Master model deployment: Save, load, and document models for easy integration into systems.
- Enhance feature engineering: Develop interaction features and extract valuable insights from date information.
- Optimise model training: Implement train-test splits and assess model performance using relevant metrics.
- Explore data effectively: Analyse data structures and load datasets efficiently using Pandas.
- Refine pre-processing skills: Normalise, scale, and encode categorical data in an optimised manner.
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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.What our students say
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