Topic: data-exploration-and-preprocessing Goto Github
Some thing interesting about data-exploration-and-preprocessing
Some thing interesting about data-exploration-and-preprocessing
data-exploration-and-preprocessing,The only Vector tooling you'll need. Use the universal VDF format for vector datasets to easily export and import data from all vector databases
Organization: ai-northstar-tech
Home Page: https://vector-io.com
data-exploration-and-preprocessing,CHL5230 - Applied Machine Learning for Health Data (Fall 2023) @ University of Toronto: Datathon #1 - Lifestyle and Health Factors
User: andysontran
data-exploration-and-preprocessing,CHL5230 - Applied Machine Learning for Health Data (Fall 2023) @ University of Toronto: Datathon #5 - mHealth and ML
User: andysontran
data-exploration-and-preprocessing,CHL5230 - Applied Machine Learning for Health Data (Fall 2023) @ University of Toronto: Datathon #2 - Early Prediction of Heart Failure
User: andysontran
data-exploration-and-preprocessing,Data was downloaded through Kaggle
User: angelx62
data-exploration-and-preprocessing,A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis, NLP processing and ML, achieving the functionality of a Content based movie recommender system
User: aniket2021448
Home Page: https://movie-mind.streamlit.app/
data-exploration-and-preprocessing,
User: eleen-228
Home Page: https://lookerstudio.google.com/reporting/ed4898ce-2181-44cc-967b-4dfb4d58b408
data-exploration-and-preprocessing,The Employee Attrition Control project uses data analysis and predictive modeling to understand and address employee turnover. It provides insights and recommendations to reduce attrition and improve employee satisfaction and retention.
User: nafisalawalidris
data-exploration-and-preprocessing,Explored a dataset of planes while learning PySpark commands.
User: saikaryekar
data-exploration-and-preprocessing,An SQL-based exploration of COVID-19 data and vaccination progress using the Covid-Deaths dataset for insights into global pandemic trends.
User: saisurajmatta
data-exploration-and-preprocessing,Successfully established a machine learning model using PySpark which can accurately classify whether a bank customer will churn or not up to an accuracy of more than 86% on the test set.
User: sayamalt
data-exploration-and-preprocessing,Successfully developed a machine learning model which can accurately predict whether a firm will become bankrupt or not, depending on various features such as net value growth rate, borrowing dependency, cash/total assets, etc.
User: sayamalt
Home Page: https://company-bankruptcy-prediction.onrender.com/
data-exploration-and-preprocessing,Successfully developed a machine learning model which can accurately predict up to 100% accuracy whether a credit card application of a given applicant would be approved or not, based on several demographic features such as applicant age, total income, marital status, total years of work experience, etc.
User: sayamalt
Home Page: https://credit-card-approval-prediction.onrender.com/
data-exploration-and-preprocessing,Successfully established a machine learning model which can accurately predict whether an employee of a given company will leave it in the impending future or not, based on several employee details and employment metrics.
User: sayamalt
Home Page: https://employee-attrition-prediction-vcut.onrender.com/
data-exploration-and-preprocessing,Successfully developed a fine-tuned DistilBERT transformer model which can accurately predict the overall sentiment of a piece of financial news up to an accuracy of nearly 81.5%.
User: sayamalt
data-exploration-and-preprocessing,Successfully established a text summarization model using Seq2Seq modeling with Luong Attention, which can give a short and concise summary of the global news headlines.
User: sayamalt
data-exploration-and-preprocessing,Successfully developed a fine-tuned BERT transformer model which can accurately classify symptoms to their corresponding diseases upto an accuracy of 89%.
User: sayamalt
data-exploration-and-preprocessing,Successfully created a machine learning model which can accurately predict the fare of a taxi trip based on several features such as trip duration, tip amount, etc.
User: sayamalt
data-exploration-and-preprocessing,The objective of this project is to predict the number of bicycles needed to be made available each hour in order to make the service as efficient as possible
User: srosalino
data-exploration-and-preprocessing,Prediction of happy Customers based on Happiness Survey Data
User: venkat-a
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