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45 search results found

Learn Python3 ⭐ 6,153

Jupyter notebooks for teaching/learning Python 3

Sms Tools ⭐ 1,570

Sound analysis/synthesis tools for music applications

Reinforcement_learning_course_materials ⭐ 857

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

Geospatialdatascience ⭐ 321

Course materials for: Geospatial Data Science

Ml From Scratch Seminar ⭐ 187

This repository is part of a "Machine Learning from Scratch" seminar at Harvard Medical School.

Drug Computing ⭐ 131

Educational materials for, and related to, UC Irvine's Drug Discovery Computing Techniques course (PharmSci 175/275), currently taught by David Mobley.

Introdatasci ⭐ 114

Course materials for: Introduction to Data Science and Programming

Ensae_teaching_cs ⭐ 71

Teaching materials in python at the @ENSAE

Causalinference_crashcourse ⭐ 63

Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks

Demo codes, tutorials, and exercises for the master lecture Business Analytics and Data Science offered by the Chair of Information Systems at the Humboldt-University of Berlin

Python Fundamentals ⭐ 54

Jupyter Notebooks for How to Think Like a Computer Scientist - Learning with Python 3 (RLE) Textbook

Ml_ta_iiitb_2022 ⭐ 47

Contains material relevant to the AI511 Machine Learning Course

Python Notebooks ⭐ 39

Scientific Computing with Python for beginners.

Structural Bioinformatics ⭐ 34

This repository includes the slides and the practicals for the course of Structural Bioinformatics of the MBB/QB degrees at the University of Milano, originally inspired by https://github.com/pb3lab/ibm3202

Teaching Notes ⭐ 29

Notes from courses and workshops I've taught or assisted with at UC Davis and UC Berkeley.

Materials for Hawley's Deep Learning & AI Ethics course

2016learnpython ⭐ 28

Python Teaching, Seminars for 2nd year students of School of Linguistics NRU HSE

Data_science_for_biologists_2019 ⭐ 28

Lab materials for the University of Washington course Data Science for Biologists (Winter 2019, BIO419/519)

The de facto standard for people who are looking to learn Dyalog APL from a book. This updated version is a work in progress.

Neural Network Intro ⭐ 22

A practical introduction to artificial neural networks.

Vtu Lab Material ⭐ 20

This is a collection of resources that intend to cover from lab programs to viva questions and all everything in between.

Remote Sensing Workshops ⭐ 20

2017 workshop content for http://wenfo.org/wald/advanced-remote-sensing

Oad Data Science Toolkit ⭐ 19

The Office of Astronomy for Development's Data Science Toolkit.

Advanced Pandas ⭐ 17

Pandas is a powerful tool for data exploration and analysis (including timeseries).

Ai Ml Unit 2 ⭐ 16

Course Material for Artificial Intelligence and Machine Learning - Unit 2 @ Computer Science Dept, Sapienza

Python Bp ⭐ 13

Python programming basics course

Mlstatpy ⭐ 11

Mathematics, Algorithmic, Data-Science, Teaching Materials

Ml Training Material ⭐ 10

Training material on ML with PyTorch by ICCS

Esci451 Python ⭐ 10

Introduction to Python for VUW ESCI 451 course.

Papierstat ⭐ 9

Lectures on Machine Learning (French)

Teaching notes and code.

Ga Data Science ⭐ 9

Teaching materials for the part-time Data Science course at General Assembly London

Teaching Ibioic Intro To Bioinformatics ⭐ 9

Course materials for the IBioIC Introduction to Bioinformatics training course

How To Rediscover The Higgs ⭐ 9

Jupyter notebook with steps to rediscover the Higgs boson yourself!

Software Matematicas Gap ⭐ 9

Bloque de GAP de la asignatura Software Matemáticas

Programmering og modellering

Numerical_methods_macroeconomics ⭐ 8

A repository for TA sessions of a Quantitative Macroeconomics PhD course at Bocconi University. Some non-related but neighboring material is included.

Detection Estimation Learning ⭐ 8

Python notebooks for my graduate class on Detection, Estimation, and Learning. Intended for in-class demonstration. Notebooks illustrate a variety of concepts, from hypothesis testing to estimation to image denoising to Kalman filtering. Feel free to use or modify for your instruction or self-study.

Python_neuro_practical ⭐ 7

This is the course material for the advanced course into Python for Data Scientists.

Workshop_python_basics ⭐ 6

Reader for the Python Basics workshop series.

Teaching Comp Genomics Vis ⭐ 6

Comparative Genomics and Visualisation teaching module

Actuariat_python ⭐ 6

French Teaching Materials in Python about Data-Science

Teaching Embl Plant Path Genomics ⭐ 5

Presentation and example material for the EMBL Plant and Pathogen Genomics workshop, 8-11 July 2014

Python Tools For Students ⭐ 5

This projects aims to teach students the basics of how to use powerful Python Tools for the day to day life at university.

Learn Python3 ⭐ 5

Jupyter notebooks for teaching/learning Python 3

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