tozammel / PythonMachineLearning Public

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Practice and tutorial-style notebooks covering wide variety of machine learning techniques

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Name		Name	Last commit message	Last commit date
Latest commit History 29 Commits
.gitignore		.gitignore
Classified Data		Classified Data
College_Data		College_Data
DecisionTrees_RandomForest_Project_LendingData.ipynb		DecisionTrees_RandomForest_Project_LendingData.ipynb
KNN_Classifier.ipynb		KNN_Classifier.ipynb
K_Means_Clustering_Practice.ipynb		K_Means_Clustering_Practice.ipynb
LICENSE		LICENSE
Linear_Regression_Practice.ipynb		Linear_Regression_Practice.ipynb
LogisticRegressionTitanic.ipynb		LogisticRegressionTitanic.ipynb
Numpy practice.ipynb		Numpy practice.ipynb
PandasPractice.ipynb		PandasPractice.ipynb
README.md		README.md
Support_Vector_Machine_Practice.ipynb		Support_Vector_Machine_Practice.ipynb
USA_Housing.csv		USA_Housing.csv
loan_data.csv		loan_data.csv
titanic_test.csv		titanic_test.csv
titanic_train.csv		titanic_train.csv

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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 data science with Python