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Duration 21 hours
Course Outline
Introduction
- Defining the scope of Predictive AI
- The historical development and evolution of predictive analytics
- Core principles of machine learning and data mining
Data Collection and Preprocessing
- Acquiring relevant datasets
- Cleaning and structuring data for analysis
- Recognizing different data types and sources
Exploratory Data Analysis (EDA)
- Using visualization techniques to extract insights
- Applying descriptive statistics to summarize data
- Detecting patterns and correlations within datasets
Statistical Modeling
- Fundamentals of statistical inference
- Techniques for regression analysis
- Implementing classification models
Machine Learning Algorithms for Prediction
- Overview of supervised learning methods
- Utilizing decision trees and random forests
- Introduction to neural networks and deep learning
Model Evaluation and Selection
- Interpreting accuracy and performance indicators
- Applying cross-validation strategies
- Managing overfitting and optimizing models
Practical Applications of Predictive AI
- Reviewing case studies from diverse sectors
- Addressing ethical implications in predictive modeling
- Navigating the limitations and challenges of Predictive AI
Hands-On Project
- Developing a predictive model using a specific dataset
- Deploying the model to generate predictions
- Analyzing and interpreting the final results
Requirements
- Foundational knowledge of basic statistics
- Familiarity with any programming language
- Experience with data management and spreadsheet software
- No previous background in AI or data science is necessary
Target Audience
- IT professionals
- Data analysts
- Technical personnel
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
