Lesson One Exam

_students/nicwickman/Nicholas Wickman - Copy of exam1.ipynb

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+{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"Nicholas Wickman - Copy of exam1.ipynb","provenance":[{"file_id":"1xMqsoSsEom-r_3WFUP5wRLzurMCzaG-J","timestamp":1582596791206}]},"kernelspec":{"name":"python3","display_name":"Python 3"}},"cells":[{"cell_type":"markdown","metadata":{"id":"B42YV4QyuRKZ","colab_type":"text"},"source":["# Instructions:\n","## Please save a copy of this notebook to your google drive and answer the questions below.\n","## Once completed please submit your notebook to the following [GitHub Repo](https://github.com/7-gate-academy-ml-program/Synopsis)"]},{"cell_type":"markdown","metadata":{"id":"d8mmOkNLyoWt","colab_type":"text"},"source":["### Name: Nicholas Wickman"]},{"cell_type":"markdown","metadata":{"id":"SdkchPgStYin","colab_type":"text"},"source":["# 1.)  What is the difference between Classification and Regression?"]},{"cell_type":"markdown","metadata":{"id":"0aKWEz_atmEp","colab_type":"text"},"source":["Classification assigns entities into discreet classes. Regression finds a function of best fit for continuous values."]},{"cell_type":"markdown","metadata":{"id":"Ma7t_7yBtmud","colab_type":"text"},"source":["# 2.) What is the Curse of Dimensionality?"]},{"cell_type":"markdown","metadata":{"id":"9C3_8rvyyDYA","colab_type":"text"},"source":["Adding dimensions to a model exponentially increases the amount of data needed for training."]},{"cell_type":"markdown","metadata":{"id":"w_rFydWVyDl3","colab_type":"text"},"source":["# 3.) What is Cross Validation?"]},{"cell_type":"markdown","metadata":{"id":"X-iA3jnCtxqP","colab_type":"text"},"source":["Partitioning a test set from your training data to test the generalization of your model, without cheating by training on the \"real\" test data."]},{"cell_type":"markdown","metadata":{"id":"ieaSLJE2tyVm","colab_type":"text"},"source":["# 4.) On a high level how do Decision  Trees work?"]},{"cell_type":"markdown","metadata":{"id":"sD6nBEWCt8ud","colab_type":"text"},"source":["Travelling down branches of nodes and making a binary decision at each node as to what branch to follow based on a simple rule (eg. AND, OR, XOR)"]},{"cell_type":"markdown","metadata":{"id":"6akxVwD_t82G","colab_type":"text"},"source":["# 5.) In regards to SVMs what is the Kernel Trick?"]},{"cell_type":"markdown","metadata":{"id":"eDGR-lhHuKNq","colab_type":"text"},"source":["Something to do with the transpose of the input matrix and finding the least-overfit line?"]},{"cell_type":"markdown","metadata":{"id":"aeXQIik9pnC-","colab_type":"text"},"source":["# 6.) For an online clothes store, what are the examples of OLTP and OLAP data? (one example each)"]},{"cell_type":"markdown","metadata":{"id":"DmtlkL81rjY8","colab_type":"text"},"source":["OLAP: A database of products.\n","OTLP: A calculation of shipping costs at checkout."]},{"cell_type":"markdown","metadata":{"id":"Wzl71E-Qrpcn","colab_type":"text"},"source":["# 7.) Give example of a function that does not maintain Idempotency."]},{"cell_type":"markdown","metadata":{"id":"_NiE2-tusl18","colab_type":"text"},"source":["x = x + 1"]},{"cell_type":"code","metadata":{"id":"KyFGb_MXKOWb","colab_type":"code","colab":{}},"source":[""],"execution_count":0,"outputs":[]}]}