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Duration 21 hours
Course Outline
Introduction
- Defining the scope of Predictive AI
- The historical context and evolution of predictive analytics
- Foundational principles of machine learning and data mining
Data Collection and Preprocessing
- Strategies for gathering relevant data
- Methods for cleaning and preparing data for analysis
- Distinguishing between different data types and sources
Exploratory Data Analysis (EDA)
- Using visualization tools to derive insights
- Applying descriptive statistics and data summarization techniques
- Identifying key patterns and relationships within datasets
Statistical Modeling
- Core concepts of statistical inference
- Techniques for regression analysis
- Developing classification models
Machine Learning Algorithms for Prediction
- An overview of supervised learning algorithms
- Working with decision trees and random forests
- Introduction to neural networks and deep learning
Model Evaluation and Selection
- Interpreting model accuracy and performance metrics
- Implementing cross-validation techniques
- Managing overfitting and optimizing model tuning
Practical Applications of Predictive AI
- Examining case studies from various industries
- Addressing ethical considerations in predictive modeling
- Navigating the limitations and challenges of Predictive AI
Hands-On Project
- Building 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
- Proficiency in at least one programming language
- Experience with data management and spreadsheet software
- No prior background in AI or data science is necessary
Target Audience
- IT professionals
- Data analysts
- Technical 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
