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.gitignore Initial commit Jul 17, 2017
Classified Data K-nearest neighbor data Jul 25, 2017
College_Data K-means cluster data file Aug 8, 2017
DecisionTrees_RandomForest_Project_LendingData.ipynb Decision tree and Random Forest with real data set Jul 26, 2017
How fast are NumPy ops.ipynb How fast are NumPy ops Nov 20, 2017
Interactive ML-1.ipynb Regularized Regression with interactive controls Dec 13, 2017
KNN_Classifier.ipynb K-nearest neighbor with Elbow method Jul 25, 2017
K_Means_Clustering_Practice.ipynb K-means clustering on College type classification Aug 8, 2017
LICENSE Initial commit Jul 17, 2017
Linear_Regression_Methods.ipynb 8 ways to do linear regression and measure speed Dec 9, 2017
Linear_Regression_Practice.ipynb Linear regression with t-statistic Jul 24, 2017
LogisticRegressionTitanic.ipynb Logistic regression with data wrangling Jul 25, 2017
Multi-variate LASSO regression with CV- Medium article code.ipynb Polynomial regression with L1 regularization Medium Dec 7, 2017
Multi-variate LASSO regression with CV.ipynb Multi-variate LASSO with CV Nov 19, 2017
Numpy practice.ipynb Updated NumPy practice and example codes Sep 26, 2017
PandasPractice.ipynb Pandas Practice Notebook Jul 23, 2017
README.md Update README.md Nov 17, 2017
Regularized polynomial regression with linear and random sampling - LOOP.ipynb Regularized polynomial regression Nov 19, 2017
Regularized polynomial regression with linear and random sampling.ipynb Regularized polynomial regression Nov 19, 2017
Support_Vector_Machine_Practice.ipynb Support Vector Machine practice Aug 4, 2017
USA_Housing.csv USA Housing Price CSV for linear regression Jul 24, 2017
loan_data.csv Decision Tree Random Forest data file Jul 26, 2017
titanic_test.csv Logistic regression data files Jul 25, 2017
titanic_train.csv Logistic regression data files Jul 25, 2017

README.md

PythonNotebooks

Practice notebooks for NumPy, Pandas, Seaborn, matplotlib, etc. Jupyter notebooks covering a wide range of functions and operations on the topics of NumPy, Pandans, Seaborn, matplotlib etc.

Essential codes for jump-starting machine learning/data science with Python