Explore tweets tagged as #mlbasics
@octogenex
Rahul Raj
1 month
πŸš€ Overfitting vs. Underfitting – ML’s Balancing Act! Too complex? Your model memorizes noise. Too simple? It misses patterns. 🎯 The goal: Just the right fit for accurate predictions!. Follow #AI365 πŸ‘‰ #MachineLearning #AI #DataScience #MLBasics
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@DheerajC30
Dheeraj Choudhary
2 months
πŸŽ₯New video for Python & ML beginners!. Variables, Data Types & Type Casting in Python is LIVE .A must-watch if you're building your AI/ML skills from scratch. πŸ‘‰ Watch: #python #ai #machinelearning #typecasting #mlbasics #learnpython
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@VIJAY_A_K1405
VIJAY A K
1 month
Today, it's #Day1 of my PySpark learning journey! My focus: Supervised Learning. It's where models learn from examples with correct answers. Key problems:.Regression: For predicting continuous values. Classification: For predicting categories. #MLBasics #Data #AIML
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@ucheokpagu
Uchenna Okpagu
2 months
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@amirhkarimi_
Amir-Hossein Karimi
3 months
Mixture of Gaussians: A powerful clustering tool made simple. Watch now: #AI #MLBasics #DataScience
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@amirhkarimi_
Amir-Hossein Karimi
3 months
Reinforcement learning starts with a strong foundation. Learn its formulation here: #AI #MLBasics #DataScience
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@amirhkarimi_
Amir-Hossein Karimi
5 months
What is Max Margin Classification, and why does it matter? Unlock its significance in this concise video: #MLBasics #AI #DataScience
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@amirhkarimi_
Amir-Hossein Karimi
5 months
Gradient Descent: The engine behind regression solutions. Discover how it works step by step: #AI #MLBasics #DataScience
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@Dipson_kadariya
Dipsan Kadariya
2 months
Day 1 – #60DaysOfLearning2025.Normalization vs Standardization I covered:.βœ… What they do.βœ… Math behind them.βœ… When & why to use.βœ… Code examples on real data. Github: #LSPPDay1 #LearningWithLeapfrog #MLBasics #DataPrep #60DaysChallenge.@lftechnology
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@amirhkarimi_
Amir-Hossein Karimi
4 months
Convolutions: The secret behind image recognition. Uncover their power in this brief video: #AI #DeepLearning #MLBasics
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@joseantonio11
Joseph Anthony (JosΓ© Antonio Ribeiro Neto)
2 months
πŸ€– Introduction to Machine Learning β€” Summary.A concise overview of machine learning: key concepts, types of models, and real-world applications. πŸ‘‰ Read the summary: #MachineLearning #AI #DataScience #MLBasics #XNewData #ArtificialIntelligence
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@CodeStreamLab
CodeStreamLab
21 days
Supervised learning is like teaching a child with flashcards β€” the machine learns from labeled data to make accurate predictions. #SupervisedLearning #MachineLearning #AI #ArtificialIntelligence #DataScience #MLBasics #DeepLearning #AIExplained #LearnAI #Codestreamlab
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@kbibek448
Bibek Karki
9 months
Day 93: Revisited types of ML based on learning styles: supervised, unsupervised, semi-supervised, and reinforcement learning along with offline/online learning and instance/model-based methods. πŸ“šπŸ’‘ Gaining deeper clarity on various approaches! #MachineLearning #MLBasics
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@DheerajC30
Dheeraj Choudhary
2 months
🧡 Strings in Python - essential for ML/AI workflows!.Covers string methods, slicing, and formatting tips. Watch here πŸ‘‰ #python #ai #machinelearning #stringmanipulation #mlbasics #learnpython
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@muneebsa
Muneeb S. Ahmad
11 months
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@QuaxamDatalab
Quaxam Datalab
1 year
MLBasics: regresiΓ³n lineal simple
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@sci_text
SciTexts Publishers
3 months
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@muneebsa
Muneeb S. Ahmad
11 months
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@muneebsa
Muneeb S. Ahmad
11 months
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@muneebsa
Muneeb S. Ahmad
11 months
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