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automl

Automatic machine learning app

data_wrangling

This report details the steps employed for wrangling the data used in the "WeRateDogs" project. The three steps in the wrangling phase of data analysis – gathering, assessing, and cleaning – were strictly followed.

deep-learning-keras-tf-tutorial

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

failure-probability

hpc-compressive-strength-predictor

This project aims to use an integrated effective technique to accurately predict compressive strength of high performance concrete (HPC)

investigate_a_dataset

This project investigates a dataset popularly known as "noshowappointment." The investigation reveals the factors that are associated with patients not showing up for their appointments.

manbau10

Config files for my GitHub profile.

prosper-rating-data-visualization-

This project explores the prosper rating dataset and contains more than 15 visualizations.

rag-powered-llm-model

This project leverages the Retrieval-Augmented Generation (RAG) technique to enable efficient querying of documents. The application allows users to upload their files and receive tailored responses based on their queries.

rt-gemini

This is a multi-modal large language model powered by Gemini