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Duration 21 hours
Course Outline
Introduction
- Defining the scope and nature of Predictive AI
- Tracing the historical context and evolution of predictive analytics
- Exploring the core principles of machine learning and data mining
Data Acquisition and Preparation
- Strategies for gathering relevant data
- Techniques for cleaning and preparing data for analysis
- Understanding various data types and their sources
Exploratory Data Analysis (EDA)
- Using visualization tools to gain insights
- Applying descriptive statistics and summarizing data effectively
- Recognizing patterns and correlations within datasets
Statistical Modeling
- Foundations of statistical inference
- Techniques for regression analysis
- Building and understanding classification models
Predictive Machine Learning Algorithms
- An overview of supervised learning methodologies
- Implementing decision trees and random forests
- Introduction to neural networks and deep learning concepts
Model Assessment and Selection
- Interpreting model accuracy and key performance metrics
- Utilizing cross-validation techniques
- Managing overfitting and optimizing model tuning
Real-World Applications of Predictive AI
- Reviewing case studies from diverse industries
- Addressing ethical considerations in predictive modeling
- Navigating the limitations and challenges of Predictive AI
Practical Project Work
- Developing a predictive model using a specific 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 managing data and working with spreadsheets
- No previous background 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
