Building Linear Regression using Statsmodels /model building in python

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Welcome to learn with Ankith ! In this comprehensive tutorial, we'll guide you through the process of building a Linear Regression model using Statsmodels in Python. Linear Regression is a fundamental algorithm for predicting numeric values, and with Statsmodels, you'll gain a deeper understanding of the model building process.

🔍 Key Topics Covered:

Introduction to Linear Regression
Installing and Importing Statsmodels
Data Preparation and Exploration
Building the Linear Regression Model
Interpretation of Model Results
Model Evaluation and Fine-Tuning
🚀 Why Watch This Video?
Whether you're a beginner diving into the world of data science or an intermediate practitioner looking to enhance your skills, this tutorial is designed for you. We'll walk through each step, explaining concepts along the way, so you can confidently build and interpret your own Linear Regression models.

📌 content
-Introduction
- Installing Statsmodels
- Data Preparation
​ - Model Building
- Model Interpretation
- Model Evaluation
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Very nice sir.. You are great one... please make a video on " how to develop model on any data using decision tree and random forest " please. wait U soon...

clickmintaka
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Amazing, thanks for sharing.
Can you please make video on EDA and model building with json data ?

rekhamalik
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Hello. thanks for useful videos, is there any plan in next days to add videos for image classification ?

crnohd
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Bhai pls upload dataset or pls share the link as well

vipin
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Brother Please Start teaching Real World Project With Start to end and hosting our models on streamlit please 🙏 Ur teaching Method is very attractive and I understand everything 😍😀❤️

rakesh_ibm
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Hey brother can you explain about feature selection methods?

prahasithgoud