Adding the blog from the Tensorflow team for more in-depth reference. https://
simplemlforsheets.com/tutorial.html
@sumanth_077
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TensorFlow Blog Tutorial Reference for Machine Learning
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Model Analysis Tools Summary Quality Tabs Evaluation Metrics
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You can even analyze and evaluate the model results. In the Summary tab, you can find info about the input features of the model. In the Quality tab, you can see evaluation metrics about the model and similar info about the Dataset and variable importance.
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Key Machine Learning Tasks: From Data Cleaning to Model Export
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What are all things you can do? – Predict Missing Values
– Spot Abnormal Values
– Train and Evaluate the Model
– Analyze and Interpret the Model Results
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Simple Model Training in Just a Few Clicks
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It's easy to train a Model on your Data. Just a couple of clicks 1. Under What do you want to do? select Train a model.
2. Name your model.
3. Under Label select species. Select the target column and click Train. That's how simple it is to train a Model. -
Simple ML for Sheets: Easy Installation and Setup Guide
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It's simple to use. Go to the Extensions Tab in Sheets Get and install the add-on. "Simple ML for Sheets" Once you start the extension with the data in your Sheet. You will see the side panel as below!
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Simple ML for Sheets: Machine Learning Models in Google Sheets
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No Google Colab, No Jupyter Notebook! Introducing Simple ML for Sheets. Build Machine Learning Models right inside Google Sheets.
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Daily Content on Python, Data Science, Machine Learning, and MLOps
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That's a wrap! If you are interested in any of these below topics: – Python – Data Science – Machine Learning – Data Analysis – LLMs – MLOps Find me → @Sumanth_077 I'm sharing daily content over here.
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LazyClassifier for Classification Problems Usage Guide
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Similarly here is using LazyClassifier for Classification Problems. Check this out:
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LazyRegressor: Automated Model Selection and Evaluation for ML
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Model selection is key for any ML Project which includes identify the model that generalizes well and provides the best performance. This library can save time and effort by training and evaluating all your ML models at once. Here is using LazyRegressor for Regression Problems:
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Lazy Predict: Train and Evaluate Multiple ML Models Instantly
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Train and Evaluate all your Machine Learning Models at once! Introducing Lazy Predict a Python Library that allows you to train, test and evaluate all your ML models at once with just a few lines of code.