Data-Analytics-源码

[{"title":"（ 23 个子文件 1.68MB ） Data-Analytics-源码","children":[{"title":"Data-Analytics-main","children":[{"title":"Kiva Loan Analysis using Python.ipynb <span style='color:#111;'> 468.31KB </span>","children":null,"spread":false},{"title":"Clothes Sale Analysis using Python.ipynb <span style='color:#111;'> 59.76KB </span>","children":null,"spread":false},{"title":"Bank Teller Transactions using Python.ipynb <span style='color:#111;'> 35.37KB </span>","children":null,"spread":false},{"title":"Data Cleaning using Python.ipynb <span style='color:#111;'> 153.15KB </span>","children":null,"spread":false},{"title":"Abruptly Goblins Planner Gamers.ipynb <span style='color:#111;'> 38.58KB </span>","children":null,"spread":false},{"title":"Data Analysis and Statistics using Python.ipynb <span style='color:#111;'> 24.02KB </span>","children":null,"spread":false},{"title":"Data Cleaning of Poems Title using Python.ipynb <span style='color:#111;'> 10.13KB </span>","children":null,"spread":false},{"title":"Hair Salon Analysis using Python.ipynb <span style='color:#111;'> 34.19KB </span>","children":null,"spread":false},{"title":"Shipping Method Price Analysis using Python.ipynb <span style='color:#111;'> 8.27KB </span>","children":null,"spread":false},{"title":"Customer Purchasing Analytics using Python.ipynb <span style='color:#111;'> 132.70KB </span>","children":null,"spread":false},{"title":"A B Testing of Traffic on Website.ipynb <span style='color:#111;'> 158.80KB </span>","children":null,"spread":false},{"title":"Analysis on Golden Ticket Award Winner (Steel) using Python.ipynb <span style='color:#111;'> 147.12KB </span>","children":null,"spread":false},{"title":"Life Expectancy and GDP Analysis using Python.ipynb <span style='color:#111;'> 300.07KB </span>","children":null,"spread":false},{"title":"Jeopardy Show Analysis using Python.ipynb <span style='color:#111;'> 202.91KB </span>","children":null,"spread":false},{"title":"Real Estate Investment Analysis using Python.ipynb <span style='color:#111;'> 27.52KB </span>","children":null,"spread":false},{"title":"Analyzing Stock Data using Python.ipynb <span style='color:#111;'> 34.09KB </span>","children":null,"spread":false},{"title":"Website Visit Funnel using Python.ipynb <span style='color:#111;'> 184.88KB </span>","children":null,"spread":false},{"title":"Future Prediction of Honey using Python.ipynb <span style='color:#111;'> 286.06KB </span>","children":null,"spread":false},{"title":"Netflix and Dowjones Stock Visualization using Python.ipynb <span style='color:#111;'> 237.03KB </span>","children":null,"spread":false},{"title":"Flags Classification using Python.ipynb <span style='color:#111;'> 511.35KB </span>","children":null,"spread":false},{"title":"Web Scrapping using Python.ipynb <span style='color:#111;'> 760.02KB </span>","children":null,"spread":false},{"title":"Muscle Hub AB Test using Python .ipynb <span style='color:#111;'> 127.54KB </span>","children":null,"spread":false},{"title":"Breast Cancer Classifier using Python.ipynb <span style='color:#111;'> 48.66KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]