Скачать или смотреть 21. Correlation Analysis in Machine Learning – Find Hidden Patterns! 📊

Welcome back to the Machine Learning Classification series! In this video, we’ll dive into Correlation Analysis, a key technique to understand relationships between features in your dataset. Identifying correlations helps in feature selection, data preprocessing, and avoiding multicollinearity issues.

What You’ll Learn:
✅ What is Correlation Analysis, and why is it important?
✅ Understanding Pearson, Spearman, and Kendall correlations
✅ How to compute correlation matrices in Pandas
✅ Visualizing correlations with heatmaps (Seaborn)
✅ How to use correlation insights for feature selection

By the end of this video, you'll be able to analyze feature relationships, detect multicollinearity, and improve your ML model’s performance.

📌 Useful Links
📊 Dataset Links:
📌 Heart Disease Dataset 1: https://www.kaggle.com/datasets/johns...
📌 Heart Disease Dataset 2: https://www.kaggle.com/datasets/deeks...

🗺️ Machine Learning Workflow Map:
📌 Scikit-Learn ML Map: https://scikit-learn.org/stable/machi...

👉 Stay Tuned: Subscribe for more hands-on ML tutorials, and hit the 🔔 notification bell to stay updated!

Looking for 1-on-1 Training?
I offer personalized training sessions on Machine Learning, BigQuery SQL, and Google Sheets Apps Script! Whether you're a beginner or looking to refine advanced skills, I’ve got you covered.

📩 Contact me at: [email protected]

🔖 Hashtags for Better Reach:
#MachineLearning #CorrelationAnalysis #FeatureSelection #DataScience #MLforBeginners #LearnMachineLearning #ScikitLearn #PythonProgramming #AI #DataAnalytics #Heatmap #CodingTutorial