Predictive Modeling Courses and Certifications

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
• On-Demand
• 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
• On-Demand
• Free Certificate

Advanced Machine Learning Models for Prediction

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
• On-Demand
• 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
• On-Demand
• Free Certificate

Introduction to TF-IDF Vectorization in Python

Master text vectorization techniques using TF-IDF in Python, from basic implementation to advanced parameter customization. Convert text data into numerical features and optimize for machine learning applications.

• CodeSignal
• On-Demand
• Free Certificate

Regression Analysis to Model Diamond Prices

Master regression analysis techniques to predict diamond prices through data splitting, model training, evaluation, and advanced visualization methods.

• CodeSignal
• On-Demand
• Free Certificate

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
• On-Demand
• Free Certificate

Linear Regression and Modeling

1725 ratings at Coursera

Explore simple and multiple linear regression models using R. Learn to fit, examine, and utilize regression for analyzing relationships between variables and making predictions.

• Coursera
• 10 hours 18 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

Data Science Fundamentals

Demystify data science through key skills, techniques, and concepts. Explore analytics, statistical modeling, data engineering, big data manipulation, and data mining algorithms.

• Coursera
• 17 weeks, 1 hour a week
• On-Demand
• Paid Course
• 4 courses

Predictive Modeling, Model Fitting, and Regression Analysis

61 ratings at Coursera

Explore predictive modeling techniques, including supervised and unsupervised approaches, model fitting, and regression analysis. Develop skills in data classification, decision trees, and linear regression through hands-on activities.

• Coursera
• 4 hours 26 minutes
• On-Demand
• Free Online Course (Audit)

Diverse Data and Efficient Algorithms for Robot Learning

Explore diverse data collection and efficient algorithms for robot learning, focusing on large-scale approaches and reinforcement learning for deformable object manipulation.

• YouTube
• 56 minutes
• On-Demand
• Free Video

Code Free Data Science

205 ratings at Coursera

Gain essential data science skills using KNIME Analytics Platform. Learn predictive modeling, data manipulation, and machine learning without coding. Apply algorithms to real data and interpret results.

• Coursera
• 14 hours 17 minutes
• On-Demand
• Free Online Course (Audit)

Meaningful Predictive Modeling

48 ratings at Coursera

Evaluate and compare predictive models using diagnostic techniques and performance measures. Learn to implement training/validation/test pipelines for robust model generalization.

• Coursera
• 8 hours 33 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

Machine Learning

1 review

Gain practical experience in prediction, classification, clustering, and information retrieval through case studies. Learn to analyze complex datasets and build adaptive, intelligent systems.

• Coursera
• 30 weeks, 3 hours a week
• On-Demand
• Paid Course
• 4 courses

Introduction to Analytics Modeling

5 reviews

Learn essential analytics models and methods and how to appropriately apply them, using tools such as R, to retrieve desired insights.

• edX
• 16 weeks, 8-10 hours a week
• On-Demand
• Free Online Course (Audit)