Predictive Models Courses and Certifications

International Centre for Theoretical Sciences

Advances in Predictive Models for Single-cell and Regulatory Genomics

Explore cutting-edge predictive models for single-cell and regulatory genomics, enhancing understanding of cancer progression and potential treatment approaches.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Predictive Models for Climate Extremes - Statistical and Machine Learning

Explore statistical and machine learning approaches to predict climate extremes and understand advanced modeling techniques for environmental forecasting applications.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Simons Institute

Debugging Genomic Profiling Experiments and Predictive Models with Interpretation Tools

Explore deep learning models in genomics, uncovering latent biases and technical artifacts. Learn to design efficient models that correct biases and reveal novel insights into gene regulation.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

UofU Data Science

Predictive Distribution and Model Comparison in Linear Models - Lecture 12

Dive into predictive distribution modeling, exploring linear models, binary classification, and logistic regression while mastering maximum molecular estimation techniques.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Fields Institute

Balancing Interpretability and Predictive Accuracy in Mathematical Models of T Cell Activation

Explore mathematical modeling approaches for T cell activation, examining the trade-offs between model interpretability and accuracy in immunological systems.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Developing Predictive Models Using Minimally-Invasive Biomarkers - Part 2

Explore predictive modeling techniques using minimally-invasive biomarkers like liquid biopsies and patient-reported outcomes to forecast cancer treatment response and disease progression.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Developing Predictive Models Using Minimally-Invasive Biomarkers - Part 1/2

Discover how to build predictive cancer models using liquid biopsy and patient-reported outcomes to forecast disease progression with minimal patient burden.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Advanced Machine Learning Models for Prediction

3 ratings

Master advanced machine learning algorithms including SVM, decision trees, random forests, and neural networks for predictive modeling using Scikit-Learn, with focus on practical implementation and optimization.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

HR Analytics using MS Excel for Human Resource Management

11041 ratings at Udemy

Use Excel for HR Analytics, calculate HR metrics, build HR dashboards & ML models for Human Resource & People Analytics

• Udemy
• 9 hours 41 minutes
• Self-Paced
• Paid Course

EDUCBA

PySpark: Apply & Evaluate Predictive ML Models

12 ratings at Coursera

Master PySpark's MLlib to build, evaluate, and deploy scalable regression, classification, and clustering models using distributed computing for real-world data analytics.

• Coursera
• 5 hours 15 minutes
• Self-Paced
• Paid Course

Regression and Gradient Descent

Master regression algorithms from scratch, implementing linear and logistic regression using gradient descent. Build predictive models without relying on high-level libraries for deep mathematical understanding.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Ensembles in Machine Learning

Master ensemble learning techniques like bagging, boosting, and stacking to enhance predictive modeling performance, from Random Forests to Gradient Boosting and AdaBoost implementations.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Introduction to Predictive Modeling

Gain insights into predictive modeling fundamentals using real estate data, linear regression techniques, and model evaluation methods to make data-driven decisions.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Data Preprocessing for Predictive Modeling

Master data preprocessing techniques for predictive modeling, covering missing values, outliers, feature selection, and normalization using the California Housing Dataset as a practical example.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Model Evaluation and Optimization

Master advanced techniques for evaluating and optimizing regression models, from cross-validation to hyperparameter tuning and regularization methods for enhanced predictive accuracy.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate