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Using GPT-turbo-16K api to train the model in order give response for the queries provided
? Python package of VTK-based algorithms to analyze geoscientific data and models
UnitGen 是一个用于生成微调代码的数据框架 —— 直接从你的代码库中生成微调数据:代码补全、测试生成、文档生成等。UnitGen is a code fine-tuning data framework that generates data from your existing codebase.
Software for evaluating the quality of synthetic data compared with real data.
This project consists of custom built modelling frameworks for pricing equity assets. Through the project's evolution, the framework evolves from a single case Discounted Cash Flow model to an interactive Probability Weighted Discounted Cash Flow model that includes multiple cases, multiple supporting models and is all built in Excel while utilizing the Visual Basic programming language.
Supervised Binary Classifier For IoT Data Stream
This GitHub repository contains a comprehensive project demonstrating image classification using TensorFlow and Keras on the CIFAR-10 dataset. The project covers various aspects of the machine learning pipeline, including data preprocessing, model building, training, evaluation, and visualization.
Predicts whether a student can get a placement opportunity based on his/her academics performance, work experiences, projects etc
I have developed a GitHub project on ex-showroom car price prediction. The project includes data cleaning, data modeling, and data selection for accurate predictions. It also involves feature selection, model evaluation, testing, and comparison to determine the most effective model.
This case study explores e-commerce customer data through data exploration, pre-processing, and splitting. It includes model building and training to analyze customer behavior. Python libraries like Pandas, NumPy, Matplotlib, and Seaborn are used for the analysis and model development.