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Duration 21 hours
Course Outline
Introduction
- Defining the scope of Predictive AI
- The historical development and evolution of predictive analytics
- Foundational principles of machine learning and data mining
Data Acquisition and Preparation
- Sourcing relevant datasets
- Cleansing and formatting data for analytical workflows
- Recognizing various data types and their origins
Exploratory Data Analysis (EDA)
- Using visualization techniques to uncover insights
- Applying descriptive statistics and summarizing data trends
- Spotting patterns and correlations within datasets
Statistical Modeling
- Foundations of statistical inference
- Techniques in regression analysis
- Building classification models
Predictive Machine Learning Algorithms
- Survey of supervised learning approaches
- Utilizing decision trees and random forests
- Introductory concepts in neural networks and deep learning
Model Assessment and Selection
- Interpreting accuracy and key performance indicators
- Implementing cross-validation strategies
- Managing overfitting and optimizing model parameters
Real-World Predictive AI Applications
- Industry-specific case studies
- Navigating ethical implications in predictive modeling
- Addressing constraints and complexities of Predictive AI
Practical Project
- Developing a predictive model using a real-world dataset
- Deploying the model to generate forecasts
- Analyzing and interpreting final outcomes
Requirements
- Basic knowledge of statistics
- Proficiency in any programming language
- Comfort with data management and spreadsheet tools
- 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
