🎯 Correlation and Regression Analysis | Python | Data Analytics | Data Science | ML | DL

📅 Live Session | Interactive & Hands-On

🔍 Session Overview:
Join us for an in-depth live session on Correlation and Regression Analysis using Python, where we explore how to identify and model relationships between variables—essential for making data-driven decisions in Data Analytics, Machine Learning, and Deep Learning.

📌 What You’ll Learn:

Understanding correlation: Pearson, Spearman, and Kendall methods

Visualizing relationships with heatmaps and pairplots

Linear Regression: Simple and Multiple

Model evaluation using R², RMSE, and residual analysis

Hands-on coding in Python using pandas, seaborn, scikit-learn, and statsmodels

💻 Tools & Libraries:

Python (Jupyter Notebook)

pandas, numpy, seaborn, matplotlib

scikit-learn

statsmodels

👩‍💻 Who Should Attend:

Students and professionals in Data Science, AI/ML, Statistics

Researchers working with predictive models

Anyone interested in practical, real-world data analysis using Python

🧠 Use Cases Covered:

Predicting outcomes based on historical data

Identifying key influencing factors

Real-life regression problems in health, business, and environment

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