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Hedia Tnani's Projects

10-steps-to-become-a-data-scientist icon 10-steps-to-become-a-data-scientist

📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

2018-03-06-ibioic icon 2018-03-06-ibioic

Teaching materials for 6-7th March 2018 delivery of introductory bioinformatics training course for IBioIC.

2018-1 icon 2018-1

Fall 2018 repository with course materials for JHU Advanced Data Science

2018_asm_workshop icon 2018_asm_workshop

Microbiome Analysis Using R Workshop hosted at the 2018 ASM General Meeting in Atlanta, GA.

ac209b-coursework icon ac209b-coursework

AC-209b: Advanced topics in Data Science course tought at Harvard - Spring semester 2017

accelerated_advanced_python_weeks3_4 icon accelerated_advanced_python_weeks3_4

This repository contains jupyter notebooks for weeks 3 and 4 of Accelerated Computational Biology class. This tutorial will cover advanced NumPy lectures including several algorithms used for data analysis in computational biology

accelerated_intro_to_compbio_part_2 icon accelerated_intro_to_compbio_part_2

Part 2 of the "Accelerated intro to Computational Biology for Biologists" course for the Master's Programme in Computational Biology, Universidad Politecnica de Madrid. This covers the first 2 weeks (~24 hours) of material, taught by Mark Wilkinson.

ads1-notebooks icon ads1-notebooks

Copies of notebooks used in the practical sessions for Algorithms for DNA Sequencing

ads1-slides icon ads1-slides

Slides for Algorithms for DNA Sequencing Coursera class

african_rice icon african_rice

hosting scripts for the analysis of whole-genome resequencing data on african rice

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