AI From Scratch

Building ML models from scratch using Python and basic libraries like numpy and math.

Models

Supervised Learning:

• LinearRegression.py: linear regression model with multiple variables.
• UnivariateLinearRegression.py: linear regression model with a single variable.
• LogisticRegression.py: logistic regression model for binary classification.
• KNNRegression.py: k-nearest neighbors regression model for predicting continuous values.

Unsupervised Learning:

• KMeans.py: clustering algorithm for partitioning data into K clusters.

NLP:

• skip_gram_sm.py: Skip-Gram model for generating word embedding (Naive Softmax version)

Tools:

• CrossValidation.py: evaluate the performance of machine learning models.