Probably every Instagram blogger strives to have as many followers, likes, comments, post impressions as possible. But what is behind all these terms? And how do they affect each other?
The algorithms of Instagram (like any other major social network) are kept in the strictest secret. However, with some wit and experience with Python you can identify some regularities, understand which parameter affects the coverage of your posts more and which less.
In addition, don’t forget the power of machine learning with Python. Using Instagram data skillfully, you can build predictive models and have a high probability of knowing in advance how much reach you can expect for your posts.
In this post I will show you an example of how I do it.
