moboutrig / algo_ai_data_branch_42

Algo AI Data branch is a collection of submodules, each representing a unique project from Ecole 42.

Algo, AI, data branch

Project	Team	Time	XP	Description
Piscine Data Science	Solo	35h	4725	Introduction to data science via the different professions.
Python for Data Science	Solo	35h	4725	Python piscine for data science.
[DEPRECATED]ml_piscine	Solo	5days	15000	This is Bootcamp Machine Learning created by the Paris-based student organization 42 AI.
[DEPRECATED]python_piscine	Solo	5days	6000	This is Bootcamp Python created by the Paris-based student organization 42 AI.
ft_linear_regression	Solo	49h	4200	In this project, you will implement your first machine learning algorithm.
dslr	Group 2	98h	6000	Write a classifier and save Hogwarts!
Leaffliction	Group 2-3	294h	15750	Image classification by disease recognition on leaves.
Multilayer_Perceptron	Solo	98h	9450	This project is an introduction to artificial neural networks, with the implementation of a multilayer perceptron. #artificial neural network #feedforward #backpropagation #gradient descent #softmax function #binary cross-entropy error function #early stopping
Total_perspective_vortex	Solo	98h	9450	Brain computer interface with machine learning based on electroencephalographic data. #python MNE #EEG #dimensionality reduction #scikit-learn pipeline
lem-in	Group 2	98h	9450	This project is meant to make you code an ant farm manager.
n-puzzle	Group 2	98h	9450	The goal of this project is to programmatically solve the N-puzzle.
rubik	Group 2	98h	9450	This project will make you write a program that solves Rubik’s Cubes with minimum spins.
expert-system	Group 2	98h	9450	The goal of this project is to make a propositional calculus expert system.
krpsim	Group 2-3	49h	9450	This project may be an algorithmic project, an operational research project, an AI project as well as an industrial project... As you like.
Gomoku	Group 2	196h	25200	The goal of this project is to make an AI capable of beating human players at Gomoku.

pie  title XP for AI projects
	"Leaffliction"  : 15750
	"ft_linear_regression"  : 4200
	"dslr"  : 6000
	"Multilayer_Perceptron"  : 9450
	"Total_perspective_vortex"  : 9450
	"lem-in"  : 9450
	"n-puzzle"  : 9450
	"rubik"  : 9450
	"expert-system"  : 9450
	"krpsim"  : 9450
	"Gomoku"  : 25200

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pie  title required hours for AI projects
	"Leaffliction"  : 294
	"ft_linear_regression"  : 49
	"dslr"  : 98
	"Multilayer_Perceptron"  : 98
	"Total_perspective_vortex"  : 98
	"lem-in"  : 98
	"n-puzzle"  : 98
	"rubik"  : 98
	"expert-system"  : 98
	"krpsim"  : 49
	"Gomoku"  : 196

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AI, data branch

flowchart LR
	a1(Piscine Data Science)
	b2(Python for Data Science)
	a(DEPRECATED Python Piscine)
	b(DEPRECATED ML Piscine)
	0(AI, data) --49h, 4200XP--> A((ft_linear_regression))
	B((dslr)):::group
	A((ft_linear_regression)) --98h, 6000XP --> B
	B -- 98h, 9450XP --> C((Multilayer Perceptron))
	B -- 98h, 9450XP --> D((Total perspective vortex))
	B -- 294h, 15750XP --> E((Leaffliction)):::group
    classDef group fill:#f96

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Algo branch

flowchart LR
	0(Algo) -- 98h, 9450XP --> A((lem-in)):::group
	0 -- 98h, 9450XP -->B((n-puzzle)):::group
	0 -- 98h, 9450XP -->C((rubik)):::group
	
	B -- 196h, 25200XP --> D((Gomoku)):::group
	B -- 98h, 9450XP --> E((expert-system)):::group
	B -- 49h, 9450XP --> F((krpsim)):::group

    classDef group fill:#f96

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