This repository is for the Data-X project materials
Switch branches/tags
Nothing to show
Clone or download
Latest commit 286609c Nov 21, 2018
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
00-install-anaconda-git-docker updates Sep 3, 2018
00-mixer Reordered Sep 30, 2017
01-introduction minor_update Aug 28, 2018
02-theory-prediction Theory of prediction for week 2 Aug 30, 2018
02a-tools-numpy finished_lec4 Sep 4, 2018
02b-tools-pandas rename Sep 11, 2018
02c-tools-python-viz-matplotlib_afo Reordered-v2 Dec 1, 2017
03-theory-data-as-signal-w-correlation Update correlation Sep 18, 2018
03-tools-webscraping-crawling_api_afo updated_webscraping Oct 11, 2018
04a-theory-prediction-classification-primer_is Reordered-v2 Dec 1, 2017
04b-theory-gradient-descent-logistic-regression new_versions_of_logreg Sep 13, 2018
04c-tools-skl-classify-iris_add_regression_si sklearn recent Sep 20, 2018
05a-tools-predicition-titanic updated_titanic Oct 2, 2018
05b-theory-ml-overivew Update-ml-overview slides Oct 29, 2018
05c-theory-tools-regularization new_regularization_presentation Oct 18, 2018
06a-theory-neural_net Add Intro to neural Net lecture Mar 9, 2018
06b-tools-tensorflow updated Nov 1, 2018
06c-convolution_and_cnn_afo CNN slides Nov 6, 2018
06d-tools-cnn-image-classification-cats-dogs added_backups Aug 26, 2018
07a-tools-nlp-sentiment_add_missing_si updated slides Apr 3, 2018
07b-tools-word2vec_add_missing_si added word2vec slides Apr 6, 2018
08b-theory-loss-vs-risk reorder3 Dec 1, 2017
08b-theory-ml-trees reorder3 Dec 1, 2017
09a-sql reorder3 Dec 1, 2017
09b-tools-spark_extend_afo reorder3 Dec 1, 2017
09c-theory-data-signal-lti-spectral_with application New Fourier Slides Nov 20, 2018
09d-application-blockchain recent Apr 18, 2018
10-tbd-reinforcement_primer reorder3 Dec 1, 2017
application-exmples/recommendation engines Reordered Sep 30, 2017
code_blocks Move regression code Aug 7, 2017
imgsource added_docker Aug 19, 2018
project Archive Oct 22, 2017
rnn_lstm rnn_lstm slides Nov 8, 2018
x-archive added hw examples Feb 17, 2018
.gitignore added_gitignore_updated_names Aug 22, 2018
README.md updated_readme Aug 19, 2018
environment.yml added_docker Aug 19, 2018

README.md

Data-X Instructors

IEOR 135 / 290: Applied Data Science with Venture Applications

Link to course website & syllabus

Teaching team Fall 2018:

  • Instructor: Ikhlaq Sidhu
  • Instructor: Alexander Fred-Ojala
  • GSIs: Sumayah Rahman and Tanya Piplani

This is the official Github repository for the Data-X class at UC Berkeley

Resources:

Download the material

To download this Github repository just press the green Clone or Download button to the top right.

download


▶️ Usage

To download the material to your computer please Install git and use the Terminal / Command Prompt to clone the repository.

git clone https://github.com/ikhlaqsidhu/data-x

Every time the repository is updated, to get the most recent version, cd to the cloned data-x folder and run:

git pull

For more information about Version Control, git, and Github please read this excellent guide: Introduction to git and Github


📧 Contact us

  • Ikhlaq Sidhu: sidhu @ berkeley edu (LinkedIn)
  • Alexander Fred-Ojala: afo @ berkeley edu (LinkedIn)

📁 About the Bootcamp

Today, the world is literally reinventing itself with Data and AI. However, neither leading companies nor the world’s top students have the complete knowledge set to participate in this newly developing world. This course provides the tools and understanding to boost any student’s ability to create the emerging data applications of the future. This bootcamp is suitable for individuals interested in hands-on practical understanding of data science and application opportunities in new ventures, industry project areas, and potential support of research with data technologies.

The Data-X course is a high paced immersion into data and data science principles in a uniquely practical approach. The program contains theory segments, code samples in Python and in Jupyter Notebooks, and a real-life wide ranging project that can be started with guidance for instructors. The course includes a real life code development project.

❤️ Credits

List of Dependencies:

🎓 License

Apache2



Data-X Instructors