Absolutely. It helps to focus on things that require attention by automating pretty general stuff
@sumanth_077
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Open-source ML Tools Content and Newsletter Subscription
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That's it. Thanks for reading. Follow @Sumanth_077 as I will be sharing content on more open-source ML Tools in the coming threads. If you like this content you will definitely love my newsletter as well. Subscribe here: http://
mlnewsletter.substack.com -

Model Pipeline: Pre-processing, Feature Engineering, and Training
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Finally here of how it creates the Model Pipeline which is a 3-step process. 1. Pre-processing and cleaning 2. Feature Engineering 3. Model Building and Training Check the Below Image
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Training Predictive Models with Lightwood Mixers
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Once you get Python Code for the Problem you can then train the model on the data and run predictions. There are many default available predictive models in Lightwood called "Mixers" but it also supports you to create your custom mixers. Check this: https://
lightwood.io/mixer.html -

Pandas Data Loading and JSON-AI Code Generation Workflow
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Let's see how this works: Load data in Pandas and define a "ProblemDefinition" via dictionary specifying the name of the target column. Now Create a JSON-AI syntax using "json_ai_from_problem" function From Json AI generate a python code using "code_from_json_ai"
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MindsDB Introduces Lightwood AutoML Framework with JSON-AI
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Introducing "Lightwood" from MindsDB which is an AutoML framework This helps you to generate and customize machine learning pipelines using a syntax called JSON-AI. https://
github.com/mindsdb/lightw
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AutoML Framework Automates Machine Learning Pipeline Generation
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In machine learning, we spend a lot of time writing the same set of code for cleaning, data preparation and model building Here's an AutoML framework that takes data, target variable as input and generates an entire machine-learning pipeline for you A Thread
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Positive feedback on MLOps project recommendations
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Some really good recommendations for MLOps Projects Akshay
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Computer Vision and Robotics Integration
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Computer Vision + Robotics. This is going to be a great one
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Excitement about learning Hugging Face and sharing insights
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Great share Akshay. I have been playing around with HF lately, and can't wait to share the things I learned.