GitHub - christophergaughan/DataSharing: Sharing of my work in data analysis using the tools available in Python- including sci-kit learn, seaborn, how to handle missing values through imputation and some cool projects

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Sharing of my work in data analysis using the tools available in Python- including sci-kit learn, seaborn, how to handle missing values through imputation and some cool projects

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Name		Name	Last commit message	Last commit date
Latest commit History 30 Commits
BoxandViolinPlots.ipynb		BoxandViolinPlots.ipynb
CG_UDEMY_ SVM.ipynb		CG_UDEMY_ SVM.ipynb
CG_UDEMY_NLP_natural_language_Processing.ipynb		CG_UDEMY_NLP_natural_language_Processing.ipynb
Cornona_Virus_Data_Kaggle_Graphs.ipynb		Cornona_Virus_Data_Kaggle_Graphs.ipynb
FERMI_PARADOX.ipynb		FERMI_PARADOX.ipynb
First_Available_CoVid_Data.ipynb		First_Available_CoVid_Data.ipynb
Imputing missing values before building an estimator.ipynb		Imputing missing values before building an estimator.ipynb
Linear_Regression_Ecommerce_Example.ipynb		Linear_Regression_Ecommerce_Example.ipynb
Logistic regression.ipynb		Logistic regression.ipynb
Natural Language Processing Project..ipynb		Natural Language Processing Project..ipynb
Plot 2 (3).html		Plot 2 (3).html
Plot 2 (4).html		Plot 2 (4).html
Plot 2 (5).html		Plot 2 (5).html
Position_Salaries.csv		Position_Salaries.csv
Random_Forest_Regression_Results.ipynb		Random_Forest_Regression_Results.ipynb
Seaborn_Examples.ipynb		Seaborn_Examples.ipynb
Seaborn_Plots_Titanic_data.ipynb		Seaborn_Plots_Titanic_data.ipynb
Social_Network_Ads.csv		Social_Network_Ads.csv
UDEMY_PYTHON_3X.ipynb		UDEMY_PYTHON_3X.ipynb
YELP_NLP_Miniproject.ipynb		YELP_NLP_Miniproject.ipynb
butterfly_flying_behavior.ipynb		butterfly_flying_behavior.ipynb
preprocessing_imputer_onehot.ipynb		preprocessing_imputer_onehot.ipynb
seaborn_plots_CG.ipynb		seaborn_plots_CG.ipynb
yelp_based_linear_regression_CA_assignment.ipynb		yelp_based_linear_regression_CA_assignment.ipynb
yelp_regression_linear_regression_CA-assignment.ipynb		yelp_regression_linear_regression_CA-assignment.ipynb

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Sharing of my work in data analysis using the tools available in Python- including sci-kit learn, seaborn, how to handle missing values through imputation and some cool projects

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