Introduction to Artificial Intelligence

In this repository I put into practice all the activities developed in class. It is subdivided into folders and in each of them I address different topics on the same subject: Artificial Intelligence.

Classification

Topics

• Pandas
• Preprocessing
• Normalization
• Metrics
• Encoder
• OneHotEncoder
• Train Test Split
• Confusion Matrix

Algorithms

• Naive Bayes
• Decision Tree
• Random Forest
• KNN
• SVM
• Neural Network

Images

Regression

Topics

• Pandas
• Heat Map
• Train Test Split
• Plotly.express
• Metrics

Algorithms

• Linear Regression
• Polynomial Features
• Decision Tree Regressor
• Random Forest Regressor
• SVR

Images

Clustering

Topics

• Numpy
• Matplotlib.image
• KMeans++

Algorithms

• KMeans

Images

Source Image

4 Colors )

6 Colors

12 Colors

64 Colors

6 Colors with Source Image

64 Color with Source Image

Natural Language Processing

Topics

• Lemmatization
• Stimization
• POS (Part-of-Speech)
• Spacy (lib)
• Text Processing

Images

Computer Vision

Topics

• OpenCV (lib)
• Face Detection
• Body Detection
• Facial Recognition
• Object Tracking