Data Science
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Statistics for Data Science: Solve Real World Data Problems., Learn The Statistics For Data Science & Build Practical Real-World Case Studies.Visualize, analyze & predict like Apro.
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The Developer's Guide To Higher Income, Just got a Python/C++/Programming/Data Science course? Learn self-promotion techniques to boost your income potential.
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This course ...
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Machine Learning & Deep Learning in Python & R, Covers Regression, Decision Trees, SVM, Neural Networks, CNN, Time Series Forecasting and more using both Python & R.
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Decision Trees for Data Science, Decision Trees Fundamentals and exploring ID3 and CART algorithms with real world application.
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Unlock the potential of Decision Trees and ...
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Introducing MLOps: From Model Development to Deployment, A Practical Guide to Building, Automating, and Scaling Machine Learning Pipelines with Modern Tools and Best Practices.
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Python For Data Science In 2025 A-Z: EDA With Real Exercises, Work With Pandas, Python For Data Science, ML & Data Analysis, Data Prep With EDA &100+ Exercises & Real Life Projects.
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Bootcamp de Agentes de IA: Crea Chatbots Inteligentes, Crea agentes de IA, bots de automatización, asistentes y flujos inteligentes con modelos locales, sin necesidad de APIs.
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What Does a Data Labeler/Data Annotator Actually Do?, The Role and Responsibilities of a Data Labeler/Data Annotator.
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What Does a Data Labeler/Data Annotator Actually Do?
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How to debug a Jupyter notebook from Kaggle with LLMs & AI , Use Generative AI and LLM capabilities to debug a Jupyter notebook from Kaggle (use case : Text mining & Naïve Bayes).
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Neural Networks in Python: Deep Learning for Beginners, Learn Artificial Neural Networks (ANN) in Python. Build predictive deep learning models using Keras & Tensorflow| Python.
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Data Lake Fundamentals, Unlocking the Power of Data Lakes: A Comprehensive Guide || Hands-On Data Lake Projects: From Theory to Practice.
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