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Duration 21 hours
Course Outline
Introduction
- Defining the scope of Predictive AI
- Examining the historical context and evolution of predictive analytics
- Reviewing foundational principles of machine learning and data mining
Data Collection and Preprocessing
- Identifying and gathering relevant datasets
- Cleaning and preparing data for effective analysis
- Comprehending various data types and their sources
Exploratory Data Analysis (EDA)
- Visualizing data to extract meaningful insights
- Applying descriptive statistics for data summarization
- Detecting underlying patterns and relationships within the data
Statistical Modeling
- Understanding the basics of statistical inference
- Conducting regression analysis
- Implementing classification models
Machine Learning Algorithms for Prediction
- Surveying common supervised learning algorithms
- Exploring decision trees and random forests
- Introducing neural networks and the basics of deep learning
Model Evaluation and Selection
- Interpreting model accuracy and performance metrics
- Utilizing cross-validation techniques
- Managing overfitting and optimizing model tuning
Practical Applications of Predictive AI
- Reviewing industry-specific case studies
- Considering ethical implications in predictive modeling
- Addressing the limitations and challenges associated with Predictive AI
Hands-On Project
- Developing a predictive model using a provided dataset
- Deploying the model to generate predictions
- Assessing and interpreting the final results
Requirements
- A solid understanding of basic statistics
- Proficiency in at least one programming language
- Comfort with data management and spreadsheet tools
- No previous experience 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
