## Week 14: Classification and Conditional Probability

This week we will be going over how to work with categorical data. How do we create a model if we want to output labels instead? We will be going over an int...

**Course Website**: http://data8.org/sp21/

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**Lab**:

*Friday*from*8 - 9 AM*- Held together with Ryan Chien

**Discussion**:

*Wednesday*from*8 - 9 AM*

**Office Hours**:

*Thursday*from*1 - 2 PM*via OH Queue

All times are shown in PT.

This week we will be going over how to work with categorical data. How do we create a model if we want to output labels instead? We will be going over an int...

Now you have learned Linear Regression techniques, it is time that we start to look at the behavior of our models that we create. In other words, how do they...

Slowly, we are moving into the modeling domain. Everything we do contain certain assumptions. A model is basically a world in which we impose certain assumpt...

There are some interesting properties to collecting the means of bootstrapped samples. CLT states that the distribution of sample means is normal. This is a ...

Welcome back from Spring Break. We will be diving more into the statistics module and practice bootstrapping and confidence intervals. We know that samples c...

Congratulations, you all! ðŸ™Œ You completed the midterm. Grades will be released together with the midsemester grade report. Please note that discussion attend...

As we have introduced hypothesis testing and models to you last week, we will dive a little deeper into a more formalized approach. You will get to practice ...

We will slowly be transitioning into the statistical inference part of the class. How do we make decision based on data and uncertainty? We will start formal...

In lecture, professor Ayazifar taught you about control flow and iteration, well known as conditionals/if-statements and for loops. Conditionals allow us to ...

Starting from now on, I will be putting both labs and discussions in one post to make it easier to find resources related to that specific week!

Corresponding Readings

Understanding your dataset is extremely important if you want to move to numerical inference or to prediction. We have to look for patterns that make sense a...

Corresponding Readings

This week we will be diving a little deeper into python and using tables with the datascience library. As we know, a lot of data lives in tables. In this dis...

Tables are the most important data structure within Data Science. Databases, our conceptions of data revolve about this notion that data consist of individua...

Nice to meet you! This week we will be touching on topics that you have discussed in lecture, namely python programming and tables. We wonâ€™t go too much into...

First of all, welcome to Data 8!