tanguylevent Goto Github PK

airpollution

anomaly-detection-and-recommender-systems

Implement the anomaly detection algorithm and apply it to detect failing servers on a network. Use collaborative filtering to build a recommender system for movies.

azure_machine_learning_algorithms

Presentation to Machine Learning Algorithms in Azure

bank_failures

Every bank failure in the United States since the Great Depression

bias_variance

Implement regularized linear regression and use it to study models with different bias-variance properties

course-project--shiny-application-and-reproducible-pitch

Coursera Data Science Certification - Developing Data Products Course - John Hopkins Bloomberg School Of Public Health.

coursera

Data sets and scripts for Coursera Big Data Specialization.

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

datasciencecoursera

It's my prouve of my understanding of how to create a repo for the coursera data science lesson

datasciencectacontent

repository for Community Mentor content related to the Johns Hopkins University Data Science Specialization on Coursera

datasharing

The Leek group guide to data sharing

electric_power_consumption

From the UC Irvine Machine Learning Repository - Study the Electric power consumption on one household

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

exponential-distribution

I show you a demonstration to understand the Central Limit Theorem

firstpaper

french-presidential-election-

French presidential election

har

Human Activity Recognition

hello

hello-world

A little presentation of what is Github and how to use it

human-activity-recognition-using-smartphones-dataset

k-means_and_pca

Implement the K-means clustering algorithm and apply it to compress an image. Use principal component analysis to find a low-dimensional representation of face images.

keras-gan

Keras implementations of Generative Adversarial Networks.

lectures

Oxford Deep NLP 2017 course

linear_regression

Implement linear regression and get to see it work on data

logistic_regression

Implement logistic regression and apply it to two different datasets

machine_learning_examples

A collection of machine learning examples and tutorials.

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

motor-trend-car-road-tests

Analyzes over the characteristics of a car related to its fuel consumption

multi_class_and_neural_network

Implement one-vs-all logistic regression and neural networks to recognize hand-written digits

my-website

My website showcase