dhanush-2501/ig-analysis

Instagram Reach Analysis

Instagram Reach Analysis and Prediction

This project is focused on developing a model to analyze and predict Instagram reach. The model uses linear regression and is optimized using Intel One API.

Tech Used

Python Scikit Learn Intel One API Data Analysis

The following data analysis was performed:

Conversion rate of profile clicks to followers Percentage of impressions from various sources Relationship between profile visits and followers gained

Model Development

Linear regression was used to develop the Instagram reach prediction model. The model was optimized using Intel One API.

Results

The Instagram reach prediction model was able to accurately predict reach with a high level of accuracy. This allowed for better decision making regarding Instagram marketing strategies.

Conclusion

This project demonstrates the usefulness of machine learning in social media marketing. By analyzing data and developing a prediction model, we can gain valuable insights into our audience and optimize our marketing strategies for maximum reach and engagement.

References

Scikit Learn documentation: https://scikit-learn.org/stable/documentation.html Intel One API documentation: https://software.intel.com/content/www/us/en/develop/tools/oneapi.html