Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking
common used Recommend Baseline Model, including the traditional statistical model, and the Nerual Network Model. Focus on the SRS (Sequential Recommend System).
2019语言与智能技术竞赛，信息抽取任务的基线模型python3代码。模型包括：关系抽取（多标签模型）和实体抽取（序列标注模型）
A retail analytics capstone that converts transactions into a calendar intelligence system. It quantifies day-of-week and monthly seasonality, builds a baseline expected revenue model, detects event-like spike days using robust residual z-scores, and explains spikes via transactions, units, AOV, and category mix, with a Streamlit dashboard+exports.
Movie Recommendation System
Automatically generate a pdf report containing feature importance, baseline modelling, spurious correlation detection, and more, from a single command line input for any given ML CSV file
Fake news headlines in the Tamil regional language.
This is a Time Series Forecasting and Regression solution to project the no. of pick-ups at and around a given region at a given time in the city of New York, USA.
Baseline models for HIPE-2022
The baseline code for the CLPsych 2021 Shared Task.
Implemented Linear Regression using scikit-learn to predict housing prices. Evaluated model performance using R² score (~0.64) and residual distribution analysis to assess prediction errors and regression assumptions.
Baseline identification for Energy Performance Contracts
architecture performance on CIFAR10 without tricks
This repo presents a detailed performance analysis of AdaptiveBayes as a replacement for LogisticRegression as a baseline model. Results are based on classic ML datasets and a wide range of large-scale benchmarks.
All asignment from data science bootcamp by Dibimbing.id
Cleans historical LCD weather files from NOAA and returns an hourly .CSV file
ML-models, Prediction, Onset of Diabetes, PIMA Indian Dataset, Baseline-model
Implementation for the Classification and Evaluation models as part of the Introduction to Machine Learning (COMP90049) course at The University of Melbourne.
Baseline ML models for AI-generated text detection (TF-IDF + Logistic Regression, evaluation metrics).
Multinomial logistic regression modeling used to determine influential factors in nicotine usage status
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