General Assembly Data Science Slides and Content
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
01_what_is_a_data_scientist
02_research_design_and_pandas
03_statistics_fundamentals
04_statistics_inference
05_visualization
06_scikit_regression
07_bias_variance
08_classification_knn
09_logistic_regression
10_unsupervised
11_svm_imbalanced
12_decision_trees
13-nlp
14_topic_modeling
16_time_series
17_ts2
18_R_AWSML
19_recap
datasets
final_project
project_01
project_02
project_03
.gitignore
DS_CourseCurriculum__1_.pdf
K-means on blobs.ipynb
PCA eigenvalue.ipynb
README.md
test.txt
the_curse_of_dimensionality.png

README.md

General Assembly Data Science Slides and Content

Boston Summer 2016

This is the github repo for all the lessons and projects.

Each lesson is structured as follows

  • Data: containing the data sets we use during that lesson
  • Slides: The slides of the course. Uploaded right after the class.
  • Notebooks: python code and notebooks

And each project statement will also contain links to datasets.