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.
Python Scikit Learn Intel One API Data Analysis
Conversion rate of profile clicks to followers Percentage of impressions from various sources Relationship between profile visits and followers gained
Linear regression was used to develop the Instagram reach prediction model. The model was optimized using Intel One API.
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.
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.
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