Practical-Data-Science-using-Python

Practical Data Science using Python, by Packt Publishing

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
__MACOSX		__MACOSX
Car-price-prediction-linear-regression-Intro-version.ipynb		Car-price-prediction-linear-regression-Intro-version.ipynb
CarPrice_Assignment.csv		CarPrice_Assignment.csv
Car_sales.csv		Car_sales.csv
Car_sales.xls		Car_sales.xls
DS3-Data-Science-Introduction.pdf		DS3-Data-Science-Introduction.pdf
DS3-EDA.pdf		DS3-EDA.pdf
Decision_Tree_IRIS.ipynb		Decision_Tree_IRIS.ipynb
EDA-Overview-Lending-Club.ipynb		EDA-Overview-Lending-Club.ipynb
Employee-Attrition-using-Naive-Bayes.ipynb		Employee-Attrition-using-Naive-Bayes.ipynb
Fashion_MNIST_Image_Classification_using_Deep_Learning_tf_Keras.ipynb		Fashion_MNIST_Image_Classification_using_Deep_Learning_tf_Keras.ipynb
HR-Employee-Attrition.csv		HR-Employee-Attrition.csv
Handwritten-Digit-MNIST-SVM.ipynb		Handwritten-Digit-MNIST-SVM.ipynb
LICENSE		LICENSE
Lending-Club-EDA-Project (1).ipynb		Lending-Club-EDA-Project (1).ipynb
Lending-Club-EDA-Project 2.ipynb		Lending-Club-EDA-Project 2.ipynb
Lending-Club-EDA-Project.ipynb		Lending-Club-EDA-Project.ipynb
ML2-Correlation-Covariance.pdf		ML2-Correlation-Covariance.pdf
ML2-Decision-Tree.pdf		ML2-Decision-Tree.pdf
ML2-EDA.pdf		ML2-EDA.pdf
ML2-Gradient-Descent.pdf		ML2-Gradient-Descent.pdf
ML2-Intro-Python.pdf		ML2-Intro-Python.pdf
ML2-K-Means-Clustering.pdf		ML2-K-Means-Clustering.pdf
ML2-Linear-Regression.pdf		ML2-Linear-Regression.pdf
ML2-Logistic-Regression.pdf		ML2-Logistic-Regression.pdf
ML2-Naive-Bayes.pdf		ML2-Naive-Bayes.pdf
ML2-PCA.pdf		ML2-PCA.pdf
ML2-Python-Intro.pdf		ML2-Python-Intro.pdf
ML2-Random-Forest.pdf		ML2-Random-Forest.pdf
ML2-Regularizations.pdf		ML2-Regularizations.pdf
ML2-Statistics.pdf		ML2-Statistics.pdf
ML2-Support-Vector-Machine.pdf		ML2-Support-Vector-Machine.pdf
Machine-Learning-Foundations.ipynb		Machine-Learning-Foundations.ipynb
Mall_Customers.csv		Mall_Customers.csv
PCA-Housing.ipynb		PCA-Housing.ipynb
Python-Intro-Numpy-Pandas.ipynb		Python-Intro-Numpy-Pandas.ipynb
README.md		README.md
Random-Forest-Credit-Default-Prediction.ipynb		Random-Forest-Credit-Default-Prediction.ipynb
churn_data.csv		churn_data.csv
credit-card-default.csv		credit-card-default.csv
customer-segmentation-k-means-analysis.ipynb		customer-segmentation-k-means-analysis.ipynb
customer_data.csv		customer_data.csv
gapminderData.csv		gapminderData.csv
internet_data.csv		internet_data.csv
iris_csv.csv		iris_csv.csv
loan 2.csv		loan 2.csv
loan.csv		loan.csv
newhousing.csv		newhousing.csv
telecom-churn-prediction-logistic-regression.ipynb		telecom-churn-prediction-logistic-regression.ipynb

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