Similarly here is using LazyClassifier for Classification Problems. Check this out:
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LazyRegressor: Streamline Model Selection for Regression Problems
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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 All ML Models at Once
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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. Thread
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That's a wrap! Every day, I share and simply content around Python, Data Science, Machine Learning & Large Language Models. Find me → @Sumanth_077 Like/RT the first tweet and help this reach more people.
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Training Machine Learning Models on GPU with PyCaret
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Training on GPUs! With Pycaret you can even train the ML models on the GPU by simply passing "use_gpu = True". Checkout the library:
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Clustering, Anomaly Detection, and Time Series Analysis Setup
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Even with Clustering import the necessary module and initialise the Algorithm. Similarly you can do the Anamoly Detection & Time Series Check this out:
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Regression Task Using Pycaret: Load, Setup, Train, Evaluate, Save
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Here is doing Regression Task using Pycaret! – Load the dataset
– Import the regression module and initialise the setup.
– Train & Evaluate the model
– Save the Model Check this out: -
PyCaret: Low-Code ML Library for Simplified Workflows
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To simplify PyCaret is a low-code library that helps in writing the ML workflow with just a few lines. PyCaret's module supports both supervised learning (classification & regression) and unsupervised learning (clustering) All you need to do is: "pip install pycaret"
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PyCaret: Open-Source Python Library for Automated Machine Learning
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An open-source, low-code Python Library to automate the machine learning workflows Introducing PyCaret an end-to-end Machine Learning tool that does: – Data Preprocessing
– Feature Engineering
– Model training
– Hyperparameter tuning &
– Model Evaluation Thread -
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That's a wrap! Every day, I share and simply content around Python, Data Science, Machine Learning & Large Language Models. Find me → @Sumanth_077 Like/RT the first tweet and help this reach more people.
