This repository will include different topics examples in data science from data wrangling to training different ML/DL models
Notebook |
Description |
numpy-introduction |
The basic functions of numpy library including create, modify and indexing |
numpy-indexing-sorting |
Practice indexing and sorting on numpy arrays |
numba |
Practice using numba with numpy for speeding calculations |
Notebook |
Description |
matplotlib |
Practice using generic matplotlib functions and charts |
Notebook |
Description |
linear-regression |
Practice Linear Regression model and feature selection with car price prediction |
k-means |
Practice KMeans clustering algorithm on spanish league teams |
svm |
Practice face recognition using SVM and PCA |
logistic-regression |
Practice nba games classification using Logistic Regression |
xgboost |
Practice with algorithm XGBoostClassifier |
ridge-regression |
Practice with Ridge Regression |
stacking |
Practice with Stacking method for regression |