Purr-fect Predictions: Using Multiple Linear Regression to Decode Viral Cat Videos | Python

Ever wondered why some cat videos break the internet while others barely get noticed? In this data-driven deep dive, we'll use Multiple Linear Regression to decode the science behind viral cat content! We'll analyze how video length, cuteness scores, cat count, and funny moments combine to predict view counts. Through easy-to-follow Python code and step-by-step explanations, you'll master MLR while discovering the mathematical formula for feline fame. Whether you're a data science newbie or a seasoned analyst who loves cats, this tutorial combines statistical rigor with whisker-twitching fun! Link to python script on Googl Colab: https://colab.research.google.com/drive/1FaP09Rtz2Mq5GEiKjK7YrgVWeB7fc0s2?usp=sharing 0:00 Introduction 5:40 Part 1 - Libraries and Creating Dataset 19:25 Part 2 - Exploring Dataset 27:50 Part 3 - Building Regression Model 37:00 Part 4 - Interpretation of Output 49:20 Part 5 - Visualisation of Results 1:00:18 Final Interpretation of Model 1:01:35 Conclusion #DataScience #MachineLearning #LinearRegression #MLR #PythonTutorial #DataAnalysis #CatVideos #ViralContent #Statistics #DataVisualization #PredictiveModeling #PythonForDataScience #LearnToCode #DataScientist #CatContent #ContentAnalytics #StatsForCreators #MultivariableRegression #PythonStats #DataScienceTutorial #python #statistics #dataanalysis #regressionanalysis #statsmodels #scikitlearn