Name: Bakhtiyar Babashli
Type: User
Company: Azercosmos OJSCo
Bio: GIS-Remote Sensing Specialist
PHD Candidate
Certified TensorFlow Developer
Image classification, data collection, processing and analysis.
Location: Baku, Azerbaijan
Blog: https://www.linkedin.com/in/bakhtiyar-babashli-b5537431/
Bakhtiyar Babashli's Projects
Regression analysis is a powerful statistical method that allows you to examine the relationship between two or more variables of interest. Dataset has different columns for students and the aim of this issue to find GPA score.
Predict future customer satisfy by service
The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution and provided by The UCI Machine Learning Repository and indentify if the product would be yes (y = l) or no(y = 0) for subscribe
The dataset consist of Permanent-Magnet Synchronous Motor (PMSM) attributes of any motor detail such as ambient, pm, stator yoke, stator tooth, stator winding and profile id. The aim is to predict multiple target accuracy. l tried to use some regression models and hyper-parameter tuning
Tried to predict some models on Iris dataset.
Calculate irrigation Pivot system by Normalized Difference Vegetation Index (NDVI).
Using python folium library to crate map of the country's sown areas for 2020 and the population by region. Different titles were used in the prepared map.
Detection sarcasm comments from Twitter datasets collected using hashtag that data is Sarcastic or Not Sarcastic.
In his project try to predict by different algorithm for social network response.
This dataset contains 98 car brands information.