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Apply new skills to your role

Instruction and application
In Progress

Applying key takeaways to your role.​

Now that we’ve seen the impact of hyperparameter tuning on regression models, let’s consider how these techniques could apply in your own organisations.

Identifying opportunities​

Think about where imbalanced data shows up in your organisation. How are you currently handling it?

What you'd do differently now​

How would techniques like oversampling, undersampling, or SMOTE shift that balance and help your models perform more reliably across the board?

Stretch goal​

How would better predictions or fairer results improve the decision making process in your business?

Action item: Share how you will apply new skills to your role.​

  • **Let’s talk balance:**You’ve unpacked the key strategies for handling imbalanced datasets—now let’s make it real.
  • Start a conversation: Share a discussion post on how you’ll tackle imbalance in your own work. What techniques will you try? What challenges do you expect?
  • Keep it going: Add your perspective to at least one peer’s post. Let’s learn from each other’s ideas and approaches. Together, we’ll move from theory to impact—one balanced dataset at a time.

Don't know where to start? Consider the following:​

Thinking about your organization, what areas of the business would benefit from more precise numerical predictions to drive better planning and smarter decisions.