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Commits on Dec 7, 2017

• Comparing Deep Neural Network to a Random Forest Classifier, DNN saw 3% increase

  

  Timothy Kornish

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Commits on Dec 4, 2017

• AWS setup files for ubuntu, also tensorflow Deep Neural Networ practice in comparison to Random Forest

  

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Commits on Nov 30, 2017

• finished Natural language processing with a spam vs ham filter then a yelp review analyzer

  

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Commits on Nov 28, 2017

• finished recommender system for movies based on ratings value given and number of ratings given by people for Star Wars and Liar Liar

  

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Commits on Nov 27, 2017

• finished k_means_clustering and Principal Components Analysis sections, Onto Recommender Systems

  

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Commits on Nov 24, 2017

• finished support vector machines project

  

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Commits on Nov 23, 2017

• Finished Decision Trees and Random Forests, unfortunatley no boosting practice in python here

  

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Commits on Nov 21, 2017

• finished k-nearest-neighbors project

  

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Commits on Nov 20, 2017

• finished logistic regression and moving to K-nearest neighbors

  

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• organizing file system for different algorithms, creating Lin_Reg folder and Log_Reg folder, importing csv files for practice

  

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Commits on Nov 18, 2017

• linear regression exercises done

  

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• finished linear regresion practice before execises

  

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Commits on Nov 16, 2017

• changing folder name

  

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Commits on Nov 10, 2017

• finished choropleth map excercise with pandas and plotly. Next onto Capstone Project before Machine learning section

  

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• choropleth maps practice

  

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Commits on Nov 9, 2017

• worked with interactive plots, only works with jupyter notebooks as far as I'm aware

  

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• finished pandas visualization, next plotly and cufflinks

  

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Commits on Nov 8, 2017

• finished seaborn section, onto more panda practice

  

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• adding more seaborn excercises

  

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Commits on Nov 3, 2017

• starting seaborn for plotting, excercises, better than matplotlib solo

  

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Commits on Nov 2, 2017

• finished matplotlib review section

  

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• starting second matlptotlib tutorial

  

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• Starting matplotlib review

  

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• finished pandas excercises

  

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• adding csv file for problems

  

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• making problem folder for organization

  

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• fixing issue with memory loss of files

  

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• git ignore edit

  

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• adding git ignore file

  

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Commits on Nov 1, 2017

• adding homework prrk problems for San Francisco salaries

  

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Commits on Oct 29, 2017

• Update README.md

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• Update README.md

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• adding python files using: pandas, numpy, next is matplotlib

  

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• Initial commit

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