Udemy – AI Predictive Analysis with Python & Ensemble Learning 2024-3

Apr 18, 2025 - 19:54

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AI Predictive Analysis with Python & Ensemble Learning. This course explores predictive modeling techniques in the field of AI using Python. Designed for data scientists, AI professionals, and enthusiasts, this course covers topics such as ensemble learning (including Random Forest, Extreme Random Forest, and Adabost Regressor), dealing with class imbalance, parameter optimization with Grid Search, unsupervised learning (including clustering techniques such as mean-shift and similarity propagation models), and classification (such as logistic regression and support vector machines). It also provides practical examples such as traffic pattern prediction and advanced topics such as logic programming, heuristic search, and natural language processing. By combining theoretical foundations with practical applications, this course provides participants with the skills necessary to build robust predictive models.

What you will learn:

Ensemble Learning: Master the complexities of Random Forest, Extremely Random Forest, and Adaboost Regressor to build powerful predictive models.
Class Imbalance Solutions: Learn strategies to deal with unbalanced classes, ensuring robust predictive analysis.
Optimization Techniques: Explore Grid Search for efficient tuning of hyperparameters, optimizing model performance.
Unsupervised Learning: Explore clustering techniques such as Meanshift and Affinity Propagation Model to discover hidden patterns in data.
Classification in AI: Understand logistic regression, support vector machines, and various classification techniques for accurate predictions.
Cutting-edge Topics: Explore advanced concepts such as logic programming, heuristic search, and natural language processing to stay ahead of the curve in AI applications.

Who is this course suitable for?

Data Scientists and Analysts: Professionals who want to advance their predictive modeling skills in AI using Python and ensemble learning techniques.
AI Enthusiasts: People who are fascinated by the applications of artificial intelligence and are looking for a hands-on course to gain hands-on experience in predictive analytics.
Programmers and Developers: Individuals with Python programming skills looking to expand their expertise in AI and predictive modeling.
Business Professionals: Professionals in various industries who are interested in using AI for data-driven decision-making and predictive analytics.
Academia: Students and researchers seeking knowledge in AI, machine learning, and predictive analytics for academic or practical applications.
Self-Learners: People who are curious about AI applications and want to independently acquire predictive modeling skills using Python.

Course details for AI Predictive Analysis with Python & Ensemble Learning

Publisher: Udemy
Instructor: EDUCBA Bridging the Gap
Training level: Beginner to advanced
Training duration: 6 hours and 21 minutes
Number of lessons: 59

Course topics

Prerequisites for the AI Predictive Analysis with Python & Ensemble Learning course

To get started with Predictive Modeling with Python a solid foundation in statistics is much appreciated. It takes a good amount of understanding to interpret those numbers to understand whether the numbers are adding up or not.
Even if someone is not well equipped with the above-mentioned skill, it should not act as a hindrance as everything is possible with an honest effort and strong will.