AI-Powered Predictive Analysis: Advanced Methods and Tools
Dive deep into predictive analysis leveraging AI, covering Adaboost, Gaussian Mixture Model, and classification algo.
4.06 (191 reviews)
66,667
students
6.5 hours
content
Mar 2024
last update
$34.99
regular price
What you will learn
Advanced techniques in predictive analysis using artificial intelligence
Implementation of algorithms like Random Forest, Adaboost Regressor, and Gaussian Mixture Model
Handling class imbalance and optimizing models using Grid Search
Detecting patterns with unsupervised learning techniques such as clustering and affinity propagation
Utilizing classifiers like Logistic Regression, Naive Bayes, and Support Vector Machines for classification tasks
Logic programming concepts and applications for problem-solving
Heuristic search methods and their applications in solving complex problems
Natural language processing techniques including tokenization, stemming, lemmatization, and named entity recognition
Understanding and building context-free grammars, recursive descent parsing, and shift-reduce parsing
Application of predictive analysis in various domains for making informed decisions and predictions
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1949472
udemy ID
10/5/2018
course created date
6/16/2019
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