You will get Face Classification with ResNet-18 on LFW Dataset
Project details
A machine learning model will be developed based on the specific requirements and the nature of the available dataset. This process includes understanding the objective (such as classification, regression, or clustering), analyzing and preprocessing the dataset (handling missing values, encoding features, and normalizing data), and selecting the most suitable algorithm according to the data characteristics and performance goals. The model will be trained, validated, and fine-tuned using appropriate techniques to ensure optimal performance. Finally, the model will be evaluated using relevant metrics, documented thoroughly, and prepared for deployment, ensuring it meets the intended use case effectively.
Machine Learning Tools
Keras, Python, TensorFlowWhat's included $100
These options are included with the project scope.
$100
- Delivery Time 1 day
- Number of Revisions 1
- Number of Model Variations 3
- Number of Scenarios 1
- Number of Graphs/Charts 6
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
About Nishant
Software Engineer
Kathmandu, Nepal - 4:08 am local time
Title: Python Developer | Automation Expert | LLM Expertise
Hello! I'm a results-driven Software Engineer with over 2 years of hands-on experience specializing in Large Language Models (LLMs), web scraping, and data engineering. I excel at building intelligent automation systems and high-performance web applications tailored to solve real-world problems efficiently. My passion lies in creating scalable, maintainable, and innovative solutions that empower businesses and enhance user experiences. With a strong foundation in Python and a detail-oriented approach, I consistently deliver robust and reliable software that exceeds expectations.
Steps for completing your project
After purchasing the project, send requirements so Nishant can start the project.
Delivery time starts when Nishant receives requirements from you.
Nishant works on your project following the steps below.
Revisions may occur after the delivery date.
Extra Resources like cloud infrastructures if needed