DEV Community

Adipta Martulandi
Adipta Martulandi

Posted on

Predicting Instagram Influencers Engagement with Machine Learning in Python

In the last few weeks I tried to make a Data Science Mini Project related to Machine Learning. After thinking for a long time, I finally decided to make a Machine Learning Model that can predict whether an Instagram Influencers Engagement will growing or declining in the following month. This Mini Project is an end-to-end project and this article will be divided into 4 section which are:

Retrieving data from Instagram influencers using Selenium and Beautiful Soup.
Preprocessing data starts from data cleansing, feature engineering, feature selection and etc until the data is ready to be consumed by the Machine Learning model.
Modeling uses Machine Learning Algorithm (Linear Regression, Random Forest, XGBoost) and also do some Tuning Hyperparamaters.
Interpreting of results from prediction output of Machine Learning.

Full Article Here

Sentry blog image

How I fixed 20 seconds of lag for every user in just 20 minutes.

Our AI agent was running 10-20 seconds slower than it should, impacting both our own developers and our early adopters. See how I used Sentry Profiling to fix it in record time.

Read more

Top comments (0)

Billboard image

The Next Generation Developer Platform

Coherence is the first Platform-as-a-Service you can control. Unlike "black-box" platforms that are opinionated about the infra you can deploy, Coherence is powered by CNC, the open-source IaC framework, which offers limitless customization.

Learn more

👋 Kindness is contagious

Please leave a ❤️ or a friendly comment on this post if you found it helpful!

Okay