Have you ever wondered why some movies on Netflix become massive hits while others go unnoticed? With the combination of Qlik AutoML and Data+, you can not only answer this question but also make your own predictions—without requiring deep technical knowledge.
From Idea to Prediction
Predictive analytics often sounds complex, but Qlik AutoML makes it surprisingly easy. In the video, you’ll learn how to:
🔹 Prepare Your Data: Everything starts with the right data. For predicting IMDb ratings, we used features such as genre, production year, director, and lead actors. These data points can come from public sources or your own analyses.
🔹 Train a Model: With Qlik AutoML, you can create a machine learning model in just a few clicks. Simply upload your data, select your target variable—in this case, the IMDb rating—and let AutoML do the rest.
🔹 Interpret Results: Qlik AutoML doesn’t just provide predictions—it also explains them. Using SHAP values (Shapley Additive Explanations), you can see which factors have the most influence on ratings. At a glance, you’ll know whether a famous director or a specific genre plays the biggest role in high ratings.
Real-Time Updates & Interactivity with Data+
The integration of Data+ takes things to the next level. Imagine you want to see how a new lead actor or a genre change could impact a movie’s rating. With Data+, you can make real-time changes and instantly see how they affect predictions.
The best part? No programming skills required! Everything runs directly within the familiar Qlik interface, making predictive analytics more accessible than ever.
How to Predict Your Own Movie Ratings
If you want to predict IMDb ratings for your favorite movies, just follow these simple steps:
✅ Collect Data: Gather relevant information about the movies you’re interested in—directors, actors, production years, genres, etc.
✅ Clean & Upload Data: Make sure your data is complete and structured, then upload it into Qlik AutoML.
✅ Train the Model: Let Qlik AutoML build a predictive model and review the results.
✅ Analyze the Predictions: Use SHAP values to identify the key factors driving your predictions.
✅ Experiment in Real Time: With Data+, tweak input values and watch how your predictions instantly adjust.
What You’ll Learn in This Video
This video provides an easy-to-follow introduction to predictive analytics. You’ll see firsthand how powerful the Qlik AutoML + Data+ combination is, along with step-by-step instructions on getting started.
Whether you’re new to data analytics or already have experience with Qlik, this tutorial will show you how to integrate machine learning into your daily work.
Now it’s your turn: Which movie do you want to predict next? 🎥🍿
🚀 In this post, I’ll show you how easy it is to predict IMDb ratings using these tools and what steps you need to take to apply predictive analytics to your own data.