Name: Ubaydullo Asatullaev
Type: User
Company: Argosdyne / Inha University
Bio: - ML Software Researcher in Argosdyne Company
- ML/DL Research Master graduate of Inha University in Industrial and Computer Engineering
Location: Incheon South Korea
Ubaydullo Asatullaev's Projects
Supervised Learning:
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In this study, face recognition was performed using the face images in the Olivetti data set. The steps for face recognition are as follows: Principal components of face images were obtained by PCA. Adequate number of principal components determined According to three different classification models, accuracy score obtained. According to three different classification models, cross-validation accuracy score were obtained. Parameter optimization of the best model has been made.
how to use 100 % of Github
daily hackerrank problem solving solutions
qualcomm_neural_processing_sdk.2.12.0.230626.Linux-AnyCPU
Sentiment analysis and opinion mining is an area that has experienced considerable growth over the last decade. This area of research attempts to determine the feelings, emotions and opinions. To do this, natural language techniques and machine learning algorithms are used. This project discusses the extracted sentiment and opinions of Bill Gates 100 comments and posts in twitter. Why Bill Gates have been chosen? - the answer is simple because nowadays Bill Gates is one of the people who cares about world condition, its improvement, climate changes, people sufferings, makes donations and have many charity organizations. Since Bill Gates intention is good form which most of his recent comments and tweets must be outstanding too where in my project i will check his all 100 comments and tweets to the categories of polarity and subjectivity with visual demonstrations and some charts with percents.
Python script using the PyQt5 and pyqtgraph libraries to create a simple 3D STL file viewer with a graphical user interface (GUI).