Machine Learning & Advanced Data Analysis

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Machine Learning & Advanced Data Analysis

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About Course

At AxeUSCE, we understand the complexities faced by clinicians in balancing the demands of patient care with the need for ongoing professional education. To support your educational initiatives, we provide a specialized service for the creation of high-quality, tailored journal club slides designed specifically for your clinical trials.

Empower your research and clinical decision-making with data-driven insights. The AxeUSCE Machine Learning & Advanced Data Analysis Course is designed for medical professionals, researchers, and data enthusiasts eager to harness the power of cutting-edge tools like H2O AI, STATA v19, and SHAP analysis. Whether you’re aiming to enhance your residency application or boost your research output, this course will elevate your ability to extract, model, and interpret complex datasets with clarity and precision.

What You’ll Learn:

  • H2O AI Platform
    • Automated machine learning (AutoML)
    • Predictive modeling and performance optimization
    • High-quality data visualization
  • Machine Learning Fundamentals
    • Supervised learning: Regression & Classification
    • Unsupervised learning: Clustering & Dimensionality Reduction
    • Practical applications in medical and public health datasets
  • STATA v19 Mastery
    • Advanced statistical modeling
    • Data management, transformation, and analysis
    • Graphical representation and result interpretation
  • SHAP (SHapley Additive exPlanations) Analysis
    • Model interpretability and transparency
    • Understanding individual feature contributions
    • Trust-building insights into machine learning models

Why Choose Machine Learning Analysis?

  • Improved Accuracy: Handle complex, non-linear relationships for reliable predictions
  • Greater Efficiency: Automate and accelerate analysis of large datasets
  • Better Interpretability: Use SHAP to demystify black-box algorithms and validate results

Ideal for:

  • Medical students and IMGs preparing for U.S. residency
  • Public health researchers and analysts
  • Clinicians pursuing data-driven academic research

Contact Us

For further details or to inquire about our services, please feel free to contact us:

Email: info@axeusce.com

WhatsApp: +1 (347) 878-3898

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What Will You Learn?

  • Apply machine learning algorithms to medical and public health datasets.
  • Use H2O AI for automated machine learning and predictive modeling.
  • Perform advanced statistical modeling and data analysis with STATA v19.
  • Interpret ML models using SHAP analysis for transparency and trust.
  • Translate results into publishable research outputs and reports.

Course Content

Machine Learning & Advanced Data Analysis
we design training programs to help medical professionals, students, and researchers gain the skills needed to thrive in data-driven healthcare and research. The Machine Learning & Advanced Data Analysis course introduces participants to cutting-edge tools like H2O AI, STATA v19, and SHAP analysis to enhance predictive modeling, interpretability, and research productivity. Delivered in recorded video lectures, this course empowers learners to master machine learning techniques, perform advanced statistical analysis, and apply results to real-world medical and public health datasets. Whether you’re preparing for residency, boosting your research credentials, or advancing your analytical skills, this program equips you with practical, high-impact knowledge.

  • Lecture 1: Introduction to Machine Learning & H2O AI Platform
    24:47
  • Lecture 2: Machine Learning Fundamentals
    15:59
  • Lecture 3: STATA v19 Mastery
    16:25
  • Lecture 4: Model Interpretability with SHAP
    15:20
  • Lecture 5: Applied Case Studies & Research Applications
    13:36

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Your Instructors

Dr Tareq Mutar

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AxeUSCE is a medical education company for USMLE career guidance and research education. We train physicians and researchers for statistical analysis and research methodology. We also offer the American Board Review Crash Course.

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