Introduction
- Introduction to Predictive Analysis
- Random Forest and Extremely Random Forest
Class Imbalance and Grid Search
- Dealing with Class Imbalance
- Grid Search
Adaboost Regressor
- Adaboost Regressor
- Predicting Traffic Using Extremely Random Forest Regressor
- Traffic Prediction
Detecting patterns with Unsupervised Learning
- Detecting patterns with Unsupervised Learning
- Clustering
- Clustering Meanshift
- Clustering Meanshift Continues
Affinity Propagation Model
- Affinity Propagation Model
- Affinity Propagation Model Continues
Clustering Quality
- Clustering Quality
- Program of Clustering Quality
Gaussian Mixture Model
- Gaussian Mixture Model
- Program of Gaussian Mixture Model
Classifiers
- Classification in Artificial Intelligence
- Processing Data
- Logistic Regression Classifier
- Logistic Regression Classifier Example Using Python
- Naive Bayes Classifier and its Examples
- Confusion Matrix
- Example os Confusion Matrix
- Support Vector Machines Classifier(SVM)
- SVM Classifier Examples
Logic Programming
- Concept of Logic Programming
- Matching the Mathematical Expression
- Parsing Family Tree and its Example
- Analyzing Geography Logic Programming
- Puzzle Solver and its Example
Heuristic Search
- What is Heuristic Search
- Local Search Technique
- Constraint Satisfaction Problem
- Region Coloring Problem
- Building Maze
- Puzzle Solver
Natural Language Processing
- Natural Language Processing
- Examine Text Using NLTK
- Raw Text Accessing (Tokenization)
- NLP Pipeline and Its Example
- Regular Expression with NLTK
- Stemming
- Lemmatization
- Segmentation
- Segmentation Example
- Segmentation Example Continues
- Information Extraction
- Tag Patterns
- Chunking
- Representation of Chunks
- Chinking
- Chunking wirh Regular Expression
- Named Entity Recognition
- Trees
- Context Free Grammar
- Recursive Descent Parsing
- Recursive Descent Parsing Continues
- Shift Reduce Parsing
