applied-data-science-with-python

✅This repository contains solutions to the 5 courses under the Specialization - Applied Data Science with Python by University of Michigan on Coursera.

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Updated Aug 11, 2020

cuigm85 / introduction-to-data-science-in-python

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Course 1 of 5 in the Applied Data Science with Python Specialization

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Updated Aug 2, 2018
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kuldeep27396 / Data-Science-and-Machine-Learning-My-self-Education

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This repo has all the files that I used during the studies of ML and DS

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Updated May 23, 2020
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muskanapp / Applied-Data-Science-coursera-capstone-project

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The fourth course in Data Science specialization offered by IBM

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Updated Jun 2, 2020
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sudheernaidu53 / Applied-Data-Science-with-Python-University-of-Michigan-

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solutions to Data science specialization taught by Christopher brooks and Kevyn Collins-Thompson

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Updated Sep 13, 2019
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Ashleshk / Coursera-Caapstone

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This Repository Buit For Purpose of Peer Grade Assessment For Capstone Course in IBM professional Certificate Specilisation

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Updated Jun 12, 2020
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aasu14 / Applied-Data-Science-with-Python-University-of-Michigan

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Applied Data Science with Python University of Michigan

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Updated Mar 4, 2019
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cesarliz10 / predicting_property_fines_payment

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predicting compliance of property maintenance fines using logistic regression

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Updated Jun 28, 2019
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amacaluso / Machine-Learning-and-Deep-Learning-an-application-in-Bioinformatics

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Machine Learning and Deep Learning in Bioinformatics - Master's thesis repository

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Updated Jul 17, 2020
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ahmedxgouda / Coursera_Capstone

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data-science capstone-project applied-data-science-with-python

Updated Aug 14, 2020
Jupyter Notebook

CaitlinACasey / SyracusePortfolio

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Portfolio of projects completed as an M.S. candidate in Syracuse University's Applied Data Science program

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Updated May 14, 2020

kk289 / IBM-Data-Science

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This repo consists of all courses of IBM - Data Science Professional Certificate, providing with techniques covering a wide array of data science topics including open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.