Deploying Sentiment Predictor - Deep Learning
This workflow applies an RNN, trained on the Kaggle Dataset (https://www.kaggle.com/crowdflower/twitter-airline-sentiment), on new tweets around #xxx to […]
JKI2_001_Comparing_Exchange_Rates
Just KNIME It! Season2 の第1回課題に回答しました。 https://www.knime.com/just-knime-it
Using Fine-tuned LLM models
<p><strong>Choose the fine-tuned model from your OpenAI account.</strong><br><br>When you fine-tune a language model, it is stored within your OpenAI […]
JKI2_007_Mapping_Successful_Football_Passes
Just KNIME It! Season2 の第7回課題に回答しました。 https://www.knime.com/just-knime-it
2. Create Your Own Data App - Visual Analysis of Sales Data
<p><strong>Your Turn – Create a Data App from a Workflow</strong></p><p>This workflow is your starting point: a classic example covering data access, […]
JKI2_021_Help_the_Caddie_Part_1
Just KNIME It! Season2 の第21回課題に回答しました。 https://www.knime.com/just-knime-it
14_Reading local and remote compressed CSV files
Will they blend? Local vs. Remote archived File This workflow accesses one compressed CSV file saved locally and another compressed CSV file stored […]
Trabalho - Análise de sentimentos em dados de redes sociais
<p></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p><strong>UTILIZADORES COM MAIS TWEETS […]
conda_knime_spark
Python Conda environment propagation - depending on your operating system Windows or macOS (Apple Silicon) Please read this article for more […]