GitHub topics: baseline-model
emskiphoto/noaa_weather_hourly
Cleans historical LCD weather files from NOAA and returns an hourly .CSV file
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Arsan24/Data-Science-Bootcamp
All asignment from data science bootcamp by Dibimbing.id
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ireneli393/Music-Recommendation-System-with-ListenBrainz-Dataset
Recommendation System
Size: 336 KB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
biggproject/A3-EPC-baseline-identification
Baseline identification for Energy Performance Contracts
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dimits-ts/text_analytics
Language Modelling (text generation, spell correction) and Sentiment Analysis / POS Tagging with MLP, RNN, CNN and BERT models and LLM prompting
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DYDevelop/DACON-Competitions
DACON 대회 코드 모음
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somjit101/NYC-Taxi-Demand-Prediction
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.
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taknev83/pywedge
Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking
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KIAND-glitch/Classification-Models
Implementation for the Classification and Evaluation models as part of the Introduction to Machine Learning (COMP90049) course at The University of Melbourne.
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AAnirudh07/Fake-News-Headlines-In-Tamil
Fake news headlines in the Tamil regional language.
Size: 1000 KB - Last synced at: 6 months ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 1
m-barker/fibs-reporter
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
Language: Python - Size: 304 KB - Last synced at: 11 days ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0
HealthyData-Hub/Predicting-Sentiment-Based-on-Drug-Product-User-Reviews-for-Informed-Decision-Making-Part-2
Review sentiment based on drug user reviews text/ dataset, using a supervised binary text classifier, which will classify user reviews as positive or negative
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HealthyData-Hub/Predicting-Sentiment-Based-on-Drug-Product-User-Reviews-for-Informed-Decision-Making-Part-1
Review sentiment based on drug user reviews text/ dataset, using a supervised binary text classifier, which will classify user reviews as positive or negative
Language: Jupyter Notebook - Size: 2.21 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
cmdecesaris/NicotineUsage
Multinomial logistic regression modeling used to determine influential factors in nicotine usage status
Language: R - Size: 1.74 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
anjmittu/clpsych2021-shared-task-baseline
The baseline code for the CLPsych 2021 Shared Task.
Language: Python - Size: 19.5 KB - Last synced at: 20 days ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 3
Furyton/Recommender-Baseline-Model
common used Recommend Baseline Model, including the traditional statistical model, and the Nerual Network Model. Focus on the SRS (Sequential Recommend System).
Language: Python - Size: 60.5 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 14 - Forks: 0
mesc08/movie-reviews-sentiment-analysis
A MACHINE LEARNING PROJECT IMPLEMENTATION ON REAL LIFE EXAMPLE
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yuanxiaosc/information-extraction Fork of baidu/information-extraction
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）
Language: Python - Size: 59.6 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 14 - Forks: 7
elaysason/Implementing-Movies-Recommender-Systems
implement various recommender system models and compare their performance.
Language: Python - Size: 811 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
zhengxiawu/pytorch-cifar Fork of kuangliu/pytorch-cifar
architecture performance on CIFAR10 without tricks
Language: Python - Size: 137 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0
subhayuroy/KickStarter
🎬This KickStarter project is about some🎞 foreign films🎥 and music videos🎶. This is an analysis 📽of their 'goal currency' and release time.🎦
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