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#machinelearningcode

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  2. Gaurav Dhangar@GauravDhangar20
    Day 1 of 11 days of Machine Learning -Feature Engineering You can choose the best algorithm in the world, but if you feed it garbage data, you get garbage results. Here is why your model is failing and how to fix it 👇
    12340
  3. Gaurav Dhangar@GauravDhangar20
    @GauravDhangar20
    Worked on a simple data-cleaning pipeline today: 1.Filled missing values 2.Handled outliers 3.Converted text to numbers 4.Scaled features for fair comparison Small changes that make the model learn better.
    11216
  4. Gaurav Dhangar@GauravDhangar20
    @GauravDhangar20
    I documented the entire process in a clean Jupyter Notebook. It includes the Python code for Handling Missing Values, Outliers, and Standardization from scratch. Check it out here: Follow for Day 2! 🔔 #DataScience #machinelearningcode #Python
    01332
  5. Blezdev@blezdev
    Exactly said @tech_girl It's now being taken advantage of Especially by those looking to fund their startup idea. #machinelearningcode #Innovation
    Mari @Tech_girl
    Everywhere you look, someone’s adding AI to something, even when it doesn’t need it. It’s like the tech world has turned “AI” into a status symbol, not a solution. But here’s what I keep asking myself: Are we still solving problems, or just chasing trends? That’s why I’m hosting a Space soon, not to bash AI, but to talk about balance. When does AI actually make things better? And when does it start to dilute the essence of what we’re building? This isn’t a conversation about being anti-AI. It’s about slowing down, questioning the hype, and rethinking what “innovation” really means. Set a reminder
    103227
  6. Mari✓@Tech_girl
    Everywhere you look, someone’s adding AI to something, even when it doesn’t need it. It’s like the tech world has turned “AI” into a status symbol, not a solution. But here’s what I keep asking myself: Are we still solving problems, or just chasing trends? That’s why I’m hosting a Space soon, not to bash AI, but to talk about balance. When does AI actually make things better? And when does it start to dilute the essence of what we’re building? This isn’t a conversation about being anti-AI. It’s about slowing down, questioning the hype, and rethinking what “innovation” really means. Set a reminder
    95494.6K
  10. Shreyλλn@mrshrey609
    My Dumbahh tryna predict my scores for next chem exam using ollama at 11 pm using scikit-learn for the first time ; fun to use btw the exam is tomorrow (i ain't getting my results near to the predicted) #machinelearningcode
    Baixar
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