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coursera

cousera_deep_pytorch

Courses on deep learning in pytorch

da

write a script to get a nice CSV file of natural gas prices.

daily-coding

data-structure

data-structures-algorithms-python

This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.

data-visualyzation

data_

Data Wrangling Exercise - Natural Gas Prices

data_wrangling_exercise

script to get a nice CSV file of natural gas prices.

datacamp

DataCamp data-science courses

datacamp_project

datacamp_projet

datacampevents

dataset

devops_trainning

All sources for become devops Formation, done by Dirane Tafen

eazytraining

Tous les codes sources dans le caadre de l'écriture des articles eazytraining.

example

premier tes

gestion-de-stock

git-workflow

Etude d'organisation de travail d'une équipe de développement basée sur Git

hash-code-2019

hashcode19

hashcode2019

jhipster

k-mean--scala

K-means Either a set of unlabeled learning data in dimension 2 contained in the file Data1.txt One has for a set of examples to classify two characteristics. This learning set includes 132 examples that have been simulated according to 3 Gaussians. Explain the principle, the nature and the different stages of a Kmoyennes algorithm. Run the Kmeans program to perform clustering using a k-means algorithm. By varying the number of clusters (k = 2, 3, 5, 10, 15, 20), study the variations of "intra-inertia". What do you notice ? What do you think ? We will make a figure for each case and a table to justify the results, we will indicate the cardinality of each group and the table of confusion. Decision border: You are asked to represent the decision boundaries in the case that has the least strong form. For this, you will need to set 2D mesh; we propose points from -1.8 to 1.8 in steps of 0.05 for example. A strong form is the element of the learning set that has always been classified together in several classifications (different initializations). Write a script that can find the number of strong forms and the cardinality of these forms. Determine the strong shapes for some values ​​of k (k = 2, 3, 4, 5 for example), and make 25 tests each time.

k-n

k-n

kilari

kilari_app

kilary_app_gos

learn-opencv-in-3-hours

machine-learning

Project machine learning