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Duration 21 hours
Course Outline
Introduction
- Defining the scope of Predictive AI
- Tracing the historical context and evolution of predictive analytics
- Exploring the foundational principles of machine learning and data mining
Data Collection and Preprocessing
- Methods for gathering relevant data
- Techniques for cleaning and structuring data for analysis
- Understanding different data types and their sources
Exploratory Data Analysis (EDA)
- Using visualization to uncover data insights
- Applying descriptive statistics for data summarization
- Recognizing patterns and correlations within datasets
Statistical Modeling
- Foundations of statistical inference
- Application of regression analysis
- Overview of classification models
Machine Learning Algorithms for Prediction
- Survey of supervised learning algorithms
- Implementing decision trees and random forests
- Introductory concepts of neural networks and deep learning
Model Evaluation and Selection
- Interpreting model accuracy and key performance metrics
- Utilizing cross-validation strategies
- Managing overfitting and optimizing model tuning
Practical Applications of Predictive AI
- Examining case studies from various industries
- Addressing ethical considerations in predictive modeling
- Identifying the limitations and challenges associated with Predictive AI
Hands-On Project
- Developing a predictive model using a practical dataset
- Deploying the model to generate predictions
- Analyzing and interpreting the final results
Requirements
- A foundational understanding of basic statistics.
- Practical experience with any programming language.
- Comfort with data management and spreadsheet tools.
- Previous experience in AI or data science is not a requirement.
Target Audience
- IT professionals
- Data analysts
- Technical teams and staff
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
