Image classification of 102 category of flowers
Project was about building and image classifier based on 8k+ images which were consisting of 102 different flower categories. I build a classifier which classifies images with 92% accuracy and then tested model on another 2k+ images which were unlabeled. Task was completed in dividing labelled flowers in various folders and then training on them using pytorch.
Website: [login to view URL] A skilled software developer with 7+ years of experience working in various technologies like Python(4+ year) and Java(2.7 year). I have handled US and Canadian Banking Clients throughout my career. I have experience developing web as well as desktop application. I am looking for projects with role as Python Developer/Data Scientist/Machine Learning Engineer. Below is list of skills on which i have good hands-on: - Languages: Python, R Programming. - Tools: Jupyter Notebook, PyCharm, Eclipse, R Studio, Github, Git, Tortoise SVN. - Database: Oracle, MySQL. - Frameworks: Django, Flask, Struts, Spring, Hibernate - Other: Amazon AWS, Google Cloud Engine, Algorithms, Software Design Patterns I can invest around 30 hours per week. Please feel free to contact me.