Data analysis



Deadline: Thursday 10/ Nov/2016

Using python, pandas, numpy and scikit learn.

For visualizations, you will not need anything more complex than scatter-plots, histograms or line plots. You will provide a single ipython notebook that contains the code for all the answers. Use a separate tab for each question. For each task, also write your appropriate answers in a .txt, .doc or .pdf and submit this along with your code.

1. I have provided you with a dataset called data1. It contains a train and test dataset. Use a suitable method to predict the “Value” given the features (there are 100 features) (there are a number of redundancies in the features). Evaluate and present your results using an appropriate error measure.

2. I have provided you with two datasets in For each dataset:

a. Analyze the data using an appropriate visualization

b. Use an appropriate method to cluster similar data-points together. Justify why you

picked the specific method for each dataset.

c. Output the clustered points using an appropriate visualization.

スキル: パイソン

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プロジェクトID: #12017869



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