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Duration 21 hours
Course Outline
Overview
- Defining the scope and nature of Predictive AI
- The historical background and evolution of predictive analytics
- Fundamental principles of machine learning and data mining
Data Acquisition and Preparation
- Identifying and gathering relevant datasets
- Refining and formatting data for analytical use
- Recognizing various data types and their origins
Exploratory Data Analysis (EDA)
- Using visualization tools to interpret data trends
- Applying descriptive statistics for data summarization
- Detecting underlying patterns and correlations within the data
Statistical Modeling
- Core concepts of statistical inference
- Techniques in regression analysis
- Developing classification models
Predictive Machine Learning Algorithms
- A survey of supervised learning methods
- Utilizing decision trees and random forests
- Introductory concepts in neural networks and deep learning
Model Assessment and Selection
- Measuring model accuracy via key performance metrics
- Implementing cross-validation strategies
- Addressing overfitting and optimizing model parameters
Real-World Applications of Predictive AI
- Examining case studies from diverse sectors
- Considering ethical implications in predictive modeling
- Addressing the limitations and challenges of Predictive AI
Practical Project
- Constructing a predictive model using a provided dataset
- Deploying the model to generate forecasts
- Analyzing and interpreting the final results
Requirements
- A foundational understanding of basic statistics
- Proficiency in at least one programming language
- Comfort with data management and spreadsheet tools
- No previous experience 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
