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Duration 21 hours
Course Outline
Introduction
- Defining the scope of Predictive AI
- Tracing the history and evolution of predictive analytics
- Foundational principles of machine learning and data mining
Data Collection and Preprocessing
- Acquiring relevant datasets
- Refining and preparing data for analytical use
- Identifying various data types and sources
Exploratory Data Analysis (EDA)
- Using visualization techniques to reveal insights
- Applying descriptive statistics for data summarization
- Detecting underlying patterns and correlations
Statistical Modeling
- Core tenets of statistical inference
- Techniques in regression analysis
- Building classification models
Machine Learning Algorithms for Prediction
- Introduction to supervised learning frameworks
- Utilizing decision trees and random forests
- Fundamentals of neural networks and deep learning
Model Evaluation and Selection
- Interpreting accuracy and performance metrics
- Implementing cross-validation strategies
- Managing overfitting and model tuning
Practical Applications of Predictive AI
- Industry-specific case studies
- Ethical implications of predictive modeling
- Navigating the limitations and challenges of Predictive AI
Hands-On Project
- Developing a predictive model using a provided dataset
- Executing the model to generate predictions
- Analyzing and interpreting the final results
Requirements
- Familiarity with basic statistical principles
- Proficiency in at least one programming language
- Basic knowledge of data management and spreadsheet tools
- Previous experience in AI or data science is not mandatory
Target Audience
- IT professionals
- Data analysts
- Technical staff members
Testimonials (3)
basics and loved the prepared documents and exercises
Rekha Nallam - GE Medical Systems Polska Sp. z o.o.
Course - Introduction to Predictive AI
Opportunity to use a pre-created models, understand how do they work and tweak them live and see the results. Choice ov VSCode with Jupyter was a perfect option for such way of leading the training.
Krzysztof - GE Medical Systems Polska Sp. z o.o.
Course - Introduction to Predictive AI
Difficult topics presented in simple, user-friendly way
