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The data was first pre-processed and analysis libraries like Numpy and Pandas were used to make it ready to be utilized by a machine learning algorithm.Problems like standard scaling, categorical data and missing values were handled with appropriate techniques. Then, we used LogisticRegression model.
This repository contains my Nexus internship projects: a specialized college admissions Q&A chatbot utilizing JSON, Python, and .pkl and .h5 files. The project is compatible with any Python IDEs such as VS Code, PyCharm, and IDLE.
Repository that performs HTML queries based on the XML file that My Anime List exports. In addition, it creates CSV files with rich data that are easy to relate and consult with other tools such as Power Bi.
Focus on selecting datasets suitable for a machine learning experiment, with an emphasis on data cleaning, encoding, and transformation steps necessary to prepare the data.
An Opinionated AlphaVantage API Wrapper in Python 3.9. Compatible with Pandas TA (pip install pandas_ta). Get your FREE API Key at https://www.alphavantage.co/support/