All Projects → bcs-iitk → Bcs_workshop_apr_20

bcs-iitk / Bcs_workshop_apr_20

Licence: mit
Workshop on basic machine learning, computational modeling, psychophysics, basic data analysis and experiment design

Programming Languages

python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to Bcs workshop apr 20

Pydata Pandas Workshop
Material for my PyData Jupyter & Pandas Workshops, I'm also available for personal in-house trainings on request
Stars: ✭ 65 (-51.49%)
Mutual labels:  jupyter-notebook, data-analysis, workshop
Spark R Notebooks
R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 109 (-18.66%)
Mutual labels:  jupyter-notebook, data-analysis
Ml Da Coursera Yandex Mipt
Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT
Stars: ✭ 108 (-19.4%)
Mutual labels:  jupyter-notebook, data-analysis
Seaborn Tutorial
This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.
Stars: ✭ 114 (-14.93%)
Mutual labels:  jupyter-notebook, data-analysis
Spark Py Notebooks
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 1,338 (+898.51%)
Mutual labels:  jupyter-notebook, data-analysis
Dl Workshop
Master gradient-based machine learning. Also secretly a JAX course in disguise!
Stars: ✭ 103 (-23.13%)
Mutual labels:  jupyter-notebook, workshop
Pythondata
repo for code published on pythondata.com
Stars: ✭ 113 (-15.67%)
Mutual labels:  jupyter-notebook, data-analysis
Hyperlearn
50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster
Stars: ✭ 1,204 (+798.51%)
Mutual labels:  jupyter-notebook, data-analysis
Dat8
General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (+1031.34%)
Mutual labels:  jupyter-notebook, data-analysis
Pandas Videos
Jupyter notebook and datasets from the pandas Q&A video series
Stars: ✭ 1,716 (+1180.6%)
Mutual labels:  jupyter-notebook, data-analysis
Pbpython
Code, Notebooks and Examples from Practical Business Python
Stars: ✭ 1,724 (+1186.57%)
Mutual labels:  jupyter-notebook, data-analysis
Stingray
Anything can happen in the next half hour (including spectral timing made easy)!
Stars: ✭ 94 (-29.85%)
Mutual labels:  jupyter-notebook, data-analysis
Bayesian Cognitive Modeling In Pymc3
PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
Stars: ✭ 93 (-30.6%)
Mutual labels:  jupyter-notebook, data-analysis
100 Pandas Puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
Stars: ✭ 1,382 (+931.34%)
Mutual labels:  jupyter-notebook, data-analysis
Exportify
Export Spotify playlists using the Web API. Analyze them in the Jupyter notebook.
Stars: ✭ 80 (-40.3%)
Mutual labels:  jupyter-notebook, data-analysis
Loandefault Prediction
Lending Club Loan data analysis
Stars: ✭ 113 (-15.67%)
Mutual labels:  jupyter-notebook, data-analysis
Deeptime
Deep learning meets molecular dynamics.
Stars: ✭ 123 (-8.21%)
Mutual labels:  jupyter-notebook, data-analysis
Datacamp
🍧 A repository that contains courses I have taken on DataCamp
Stars: ✭ 69 (-48.51%)
Mutual labels:  jupyter-notebook, data-analysis
My Journey In The Data Science World
📢 Ready to learn or review your knowledge!
Stars: ✭ 1,175 (+776.87%)
Mutual labels:  jupyter-notebook, data-analysis
Cadl
ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
Stars: ✭ 1,478 (+1002.99%)
Mutual labels:  jupyter-notebook, workshop

Brain and Cognitive Society Online Workshop Apr '20

This repository contains all the lectures and workshop materials for the workshop conducted during March-April 2020. The goal of this workshop is to teach the basics of different technical skills needed for studying brain science to reverse engineer human brain/intelligence to create more general and intelligent AI's for the future world. It covers a range of topics, including:

  • Basic Machine Learning
  • Computational Modeling
  • Psychophysics, Data Analysis and Experiment Design

The lectures and workshop materials are a combination of links to different online resources plus some additional materials created by Brain and Cognitive Society, IIT Kanpur. Assignments were created by Brain and Cognitive Society, IIT Kanpur.

The complete schedule of the workshop is here

Lecture Materials and Resources:

Topics Links
Basic Python LINK
Machine Learning LINK
Computational Modeling LINK
Psychophysics LINK

References to Lecture Materials and Resources:

License

Licensed under MIT license. Please reference this github repo if used any of the assignment or lecture material created by Brain and Cognitive Society, IIT Kanpur

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].