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Duration 21 hours
Course Outline
Introduction
- Defining the scope and meaning of Predictive AI
- Reviewing the history and evolution of predictive analytics
- Exploring the basic principles of machine learning and data mining
Data Collection and Preprocessing
- Acquiring relevant datasets
- Sanitizing and preparing data for analytical use
- Distinguishing between different data types and sources
Exploratory Data Analysis (EDA)
- Using visualization tools to uncover insights
- Applying descriptive statistics for data summarization
- Recognizing patterns and relationships within the data
Statistical Modeling
- Fundamentals of statistical inference
- Analyzing regression techniques
- Building classification models
Machine Learning Algorithms for Prediction
- An overview of supervised learning algorithms
- Implementing decision trees and random forests
- Introducing the basics of neural networks and deep learning
Model Evaluation and Selection
- Interpreting model accuracy and key performance metrics
- Utilizing cross-validation methods
- Managing overfitting and tuning models
Practical Applications of Predictive AI
- Examining case studies from various industries
- Discussing ethical considerations in predictive modeling
- Addressing the limitations and challenges of Predictive AI
Hands-On Project
- Developing a predictive model using a practical dataset
- Deploying the model to generate predictions
- Assessing and interpreting the final results
Requirements
- A foundational understanding of basic statistics
- Proficiency with at least one programming language
- Experience with data handling and spreadsheet applications
- 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
