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<h2 id="please-fill-out-feedback-forms">Please fill out feedback forms</h2>
<h3 id="feedback-1">Feedback #1</h3>
<p>https://forms.gle/jp2pEmYbPVXZDgLN6</p>
<h3 id="feedback-2">Feedback #2</h3>
<p>https://forms.office.com/Pages/ResponsePage.aspx?id=s_BgbwZfCU6XFZiduozH2NtV2sAf02dAjo6J9c3l1U9UNVhaSDY1Qk1ZSExWSUlQTlNXWEdVSU5GNS4u</p>
<h2 id="when-is-the-final">When is the final?</h2>
<ul>
<li><p>Wed., Dec 16, 10:30am–12:45pm</p></li>
<li><p>135 minutes</p></li>
</ul>
<h2 id="structure-of-the-final">Structure of the final</h2>
<ul>
<li>Multiple-choice questions, 45 minutes, 45-40 questions, 4 options each</li>
<li>Jupyter-Notebook type questions (programming), 90 minutes, 4-5 questions
<ul>
<li>2-programming problems
<ul>
<li>Emphasis ch 9, 10, 11 in Intro to python chapters</li>
<li>Objects</li>
<li>File/file IO</li>
<li>Recursion</li>
<li>Exceptions</li>
<li>earlier chapters may be part of problems</li>
</ul></li>
<li>2-3 statistics/machine learning/pandas problems
<ul>
<li>Emphasis on chapter 15 in Intro to Python</li>
<li>Emphaiss on Chapter 10-17 in Statisitical and Inferential thinking</li>
<li>We will use pandas rather than data science library</li>
<li>Will use numpy, sklearn, pandas, matplotib, seaborn</li>
<li>You should know how to make plots, load data, extract columns</li>
<li>Hypothesis testing</li>
<li>Permutation Test</li>
<li>Bootstraping</li>
<li>Regression</li>
<li>Classification</li>
<li>Clustering</li>
</ul></li>
</ul></li>
</ul>
<h2 id="studying-tips">Studying Tips</h2>
<ul>
<li>Write questions</li>
<li>Study backwards</li>
<li>Be able to quickly navigate documentation for numpy, sklearn, pandas, matplotib, seaborn</li>
<li>Be able to go through examples (eg. in the books)</li>
<li>Good exercise to make sure you know pandas is to translate interential thinking examples into pandas language</li>
</ul>
<h2 id="some-themes-from-the-mc-concepts-part">Some themes from the MC (concepts part)</h2>
<h3 id="mlstats-concept-questions">ML/Stats concept questions</h3>
<ul>
<li>What is the difference between supervised and unsupervised ML?</li>
<li>What is the difference between classification and regression problems?</li>
<li>What is the difference between clustering and dimension reduction problems?</li>
<li>Name a classification algorithm?</li>
<li>Name a regression algorithm?</li>
<li>Name a clutestering algorithm?</li>
<li>Name a dimension reduction algorithm?</li>
<li>What is the permutiation test?</li>
<li>When would you use the permutation test?</li>
<li>What is bootstrap?</li>
<li>WHen whould you use bootstrap?</li>
<li>What is correlation?</li>
<li>Why do you split your data into a “train” subset and “test” subset?</li>
<li>Why do we need a validation?</li>
</ul>
<h3 id="example-programming-questions-not-in-mc-form-here">Example Programming Questions (not in MC form here):</h3>
<ul>
<li>Whats the difference between a class and an object?</li>
<li>What is an attribute?</li>
<li>What is a method?</li>
<li>What is the difference between a function and an (object) method?</li>
<li>What is a property?</li>
<li>What are the four aspects of object oriented programming?</li>
<li>What are exceptions and what are the (possible) blocks in an exception?</li>
<li>How do you write data to a text file?</li>
<li>How do you read data from a text file?</li>
<li>What is stdout, stderr and how is it related to a print statement?</li>
<li>What is the “with” statement and how does it help with file I/0?</li>
<li>Whats the difference between a recursion solution and an iterated solution?</li>
<li>What is better about recursion? What is better about iteration?</li>
</ul>