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data-science-notebooks

This repository will include different topics examples in data science from data wrangling to training different ML/DL models



Pandas

Notebook Description
pandas-intorudction The basic functions of pandas library including load, concatenate and indexing
pandas-operations Practice DataFrame Operations and handle missing values
pandas-combine-datasets Practice combining datasets
pandas-aggregation-grouping Learn Pandas aggregation and grouping methods


NumPy

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



Matplotlib

Notebook Description
matplotlib Practice using generic matplotlib functions and charts



Data-Exploratory

Notebook Description
diabetes-exploration Practice data exploration on diabetes dataset



Machine-Learning

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

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