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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
- Gathering pertinent datasets
- Cleaning and preparing data for analytical processing
- Understanding various data types and their sources
Exploratory Data Analysis (EDA)
- Visualizing data to derive actionable insights
- Applying descriptive statistics and data summarization techniques
- Identifying underlying patterns and relationships within the data
Statistical Modeling
- Introduction to statistical inference
- Techniques in regression analysis
- Fundamentals of classification models
Machine Learning Algorithms for Prediction
- An overview of supervised learning algorithms
- Utilizing decision trees and random forests
- Basics of neural networks and deep learning
Model Evaluation and Selection
- Interpreting model accuracy and key performance metrics
- Implementing cross-validation strategies
- Managing overfitting and performing model tuning
Practical Applications of Predictive AI
- Examining case studies from various industries
- Considering ethical implications in predictive modeling
- Addressing the limitations and challenges of Predictive AI
Hands-On Project
- Developing a predictive model using a practical dataset
- Applying the model to generate predictions
- Evaluating outcomes and interpreting the results
Requirements
- A solid understanding of basic statistics
- Proficiency in at least one programming language
- Familiarity with data management and spreadsheet tools
- No previous experience in AI or data science is necessary
Target Audience
- IT professionals
- Data analysts
- Technical staff
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3900 € + VAT*
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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