Basic Python
A workshop on learning the basic concepts of python, with an eye towards becoming a data scientist.
These are the workshops and courses belonging to the Data Science series.
These workshops can be taken standalone, separately from each other. But, if you are new to the subject, they are best taken one after the other, in a sequence. The image below shows the data science sequences: green, blue, red and orange.
You can take all the workshops in a sequence, or jump in-between sequences. Totally your choice.
Pandas for Data Science
A workshop on powering up your data science journey with Pandas
Regression
A workshop on Linear Regression, which is behind a lots of predictive and explanatory models of how the world works.
Real World Classification
This workshop will teach you to classify: for example, will a customer churn, or is this mushroom poisonous? Yes? Or No?
The Basic Concepts of Machine Learning
The basic concepts of validation, hyper-parameters, over-fitting and regularization are introduced in the context of polynomial regression.
Feature Processing
Processing your data into the ideal shape for machine learning models
Unsupervised Learning
Learn to find structure in unlabeled data by dimensionality reduction and clustering
Trees and Ensembles
Learn more about high performance tree based model ensembles such as Random Forests and Boosting.