introduction To Machine Learning for Data Science Course
Gain expertise in machine learning for data science by developing churn prediction models, crafting effective features, assessing performance, and applying insights to boost retention and revenue in subscription and mobile app sectors within Kenya's tech landscape. The course emphasises hands-on skills for real-world data challenges.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This practical course guides you through defining churn prediction challenges, analysing and preparing real subscription app data, and creating robust models. You'll master feature engineering, model selection, evaluation, interpretation, and deployment to quickly convert data into retention and revenue gains.
Elevify advantages
Develop skills
- Define ML churn issues by converting key performance indicators into practical goals.
- Conduct rapid exploratory data analysis to clean, profile, and verify subscription datasets.
- Develop and optimise churn prediction models using logistic regression, decision trees, and ensemble methods with appropriate metrics.
- Create impactful features by handling class imbalance, encoding categorical data, and scaling numerical variables.
- Analyse and deploy models using SHAP explanations, monitoring for drift, and enhancing retention strategies.
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
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
André FelipePrompt Engineering Student
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