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AtomAI-Expert-System Public
Team project Question Answer Model
Jupyter Notebook UpdatedOct 13, 2024 -
This is a collaboration project for building a document processing project for Lambda Team. Main objective is to extract text, images and captions.
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activity06-logistic-regression Public
Forked from gvsu-sta631/activity06-logistic-regressionUpdatedAug 9, 2023 -
activity08-mini-competition Public
Forked from gvsu-sta631/activity08-mini-competitionHTML UpdatedJul 16, 2023 -
activity04-mini-competition Public
Forked from gvsu-sta631/activity04-mini-competitionUpdatedJun 19, 2023 -
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Covid-R-Visualizations Public
This project provides a visualization of Covid-19 spread on maps and other interactive graphs using plotly package and R-shiny. Guided by Dr. A.
HTML UpdatedFeb 23, 2023 -
Word-cloud-builder Public
This project focuses on implementing an R Shiny app for creating word clouds from text files.
R UpdatedJan 6, 2023 -
EmoReader Public
Forked from dikshashrestha/EmoReaderCopied from Diksha for project 635
HTML Other UpdatedDec 15, 2022 -
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Birds-Classifier Public
I am currently working on this project. I am building a classifier model using Python CNN. I am using dataset obtained from https://www.kaggle.com/datasets/gpiosenka/100-bird-species
Jupyter Notebook UpdatedAug 16, 2022 -
Image-Classifier-Model Public
This is my first Machine Learning Image classification model. I Built this model with Artificial Neural Networks. The model has 66% accuracy.
Jupyter Notebook UpdatedAug 5, 2022 -
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This project focuses on analyzing the most important factors that contributes to employee turnover. Th project focuses on examining factors such as salary, satisfaction level
Jupyter Notebook UpdatedJul 4, 2022 -
Holiday-events Public
This simple project was used to examine the distribution of events per locale - local, regional or national in holidays across various countries. The project employs machine learning (LR) to predic…
Jupyter Notebook UpdatedJun 30, 2022 -
Titatic-Survivors---ML-model Public
This project uses the titanic data and Python machine learning to predict the survival of different categories of people based on fare, age, sex and passenger class. The data was obtained from: htt…
Jupyter Notebook UpdatedJun 30, 2022 -
e-commerce_tv_sales Public
The data was obtained from https://www.kaggle.com/datasets/devsubhash/television-brands-ecommerce-dataset.
Jupyter Notebook UpdatedJun 25, 2022 -
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