Behigu Gizachew's Projects
Using A/B testing to test if the ads that the advertising company ran resulted in a significant lift in brand awareness. Comparing machine learning models vs A/B testing gave me insights on what to use in which particular problem.
Roadmap to becoming an Artificial Intelligence Expert in 2022
š Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Awesome free machine learning and AI courses with video lectures.
Perform causality Inference on breast cancer data set using Judea Pearl and his research groups framework
Tools for causal analysis
Convert PNG to JPG in python
Interactive data analytics
A data warehouse is a large collection of business data used to help an organization make decisions.
š FREE AI Resources - š Courses, š· Jobs, š Blogs, š¬ AI Research, and many more - for everyone!
LookML Hands on practice on rental service provider data
A machine learning course using Python, Jupyter Notebooks, and OpenML
12 weeks, 24 lessons, classic Machine Learning for all
I will be performing an exhaustive analysis in order to gain insights and engineer features with an interactive exploratory analysis and finally will use XGB to predict.
Curated list of project-based tutorials
A collective list of free APIs
LIDAR data analysis and further feature enhancing and automated analysis pipeline.
Ad campaign performance evaluation using AB Testing
Convert and download html tables to a xlsx-file that can be opened in Microsoft Excel
Time series analysis is a specific way of analyzing a sequence of data points collected over an interval of time. In time series analysis, analysts record data points at consistent intervals over a set period of time rather than just recording the data points intermittently or randomly.
In machine learning and natural language processing, a topic model is a type of statistical model for discovering the abstract "topics" that occur in a collection of documents. Topic modeling is a frequently used text-mining tool for discovery of hidden semantic structures in a text body.
Twitter tweets sentiment analysis on covid-19 tweets
ML data analyst and predictions. Helping the responsible bodies decide the right decisions.
This project is a simple project where connecting to a database, creating and reading from the database and different tables are demonstrate.