Essays about: "data science with python"

Showing result 1 - 5 of 25 essays containing the words data science with python.

1. 1. Web Interface for Systems Engineering DesignTools – A web application for facilitating the collaboration between business- and engineering teams

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : Erik Berg; Oscar Hedenäs Bennet; William Hugo; Albin Karlsson Landgren; Isak Magnusson; David Salmo; [2023-03-03]
   Keywords : Value driven design; BPMN; Discrete event simulation; Web interface; System engineering design; ISO 15288; Python; React;

   Abstract : The interest in improving and optimising project planning and execution is currently large. The Value-Driven Design methodology of Systems Engineering aims to help with this through a focus on measuring value from early stages of projects. READ MORE

3. 2. Web interface for a multi-purpose transmitter

   University essay from

   Author : Elin Cederlöf; Maximilian Mattsson; [2023]
   Keywords : Web interface; programming; JavaScript; CSS; HTML; Azure; RTOS;

   Abstract : The project described in this report aims to construct a web interface for a multi-purpose transmitter (MPT). The MPT is a submodule that is meant to be used in future chromatography systems. This bachelor thesis project is done at Cytiva in Uppsala. READ MORE

4. 3. Extraction of Global Features for enhancing Machine Learning Performance

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Abyel Tesfay; [2023]
   Keywords : Machine Learning; Deep Learning; Feature Extraction; Global Features; Time-series data; Bioprocessing; Maskininlärning; Djupinlärning; Funktionsextraktion; Globala Funktioner; Tidsserie data; Biobearbetning;

   Abstract : Data Science plays an essential role in many organizations and industries to become data-driven in their decision-making and workflow, as models can provide relevant input in areas such as social media, the stock market, and manufacturing industries. To train models of quality, data preparation methods such as feature extraction are used to extract relevant features. READ MORE

5. 4. Machine Learning Clustering andClassification of Network DeploymentScenarios in a Telecom Networksetting

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Chayan Shrang Raj; [2023]
   Keywords : Telecommunications; Statistics; Machine Learning; Masters; PySpark; Python; Data Visualization; LTE; eNodeB; Data analysis; Data Science; AI; Jupyter; HDFS;

   Abstract : Cellular network deployment scenarios refer to how cellular networks are implementedand deployed by network operators to provide wireless connectivity to end users.These scenarios can vary based on capacity requirements, type of geographical area, populationdensity, and specific use cases. READ MORE

6. 5. Sim2Real: Generating synthetic images from industry CAD models with domain randomization

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Duruo Li; [2023]
   Keywords : ;

   Abstract : Deep learning methods for computer vision applications require massive visual data for model training. Although it is possible to utilize public datasets such as ImageNet, MS COCO, and CIFAR-100, it becomes problematic when there is a need for more task-specific data when new training data collection typically is needed. READ MORE