MrKsinant
Applied Mathematics: Mainly Machine Learning & Deep Learning but... Quantum Computing is on its way!
Nantes, France
Pinned Repositories
Airbnb-New-Users-First-Booking-Country
The goal of this project is to study a challenge proposed through Kaggle by Airbnb in 2016, with the aim to help the company to predict where a new user will book his first travel experience.
Ashrae-Buildings-Energy-Usage-Prediction
The goal of this project is to study a challenge proposed through Kaggle by ASHRAE in 2019, with the aim to develop accurate models of metered building energy usage in the following areas: chilled water, electricity, hot water, and steam meters.
Bike-Sharing-Prediction
The goal of this project is to build a simple neural network from scratch to predict daily bike rental ridership.
Creating-Customer-Segments
The goal of this project is to build a machine learning model, using unsupervised learning, to create customer segments in a dataset belonging to a wholesale distributor.
Dog-Breed-Classifier
The goal of this project is to build a "very special" dog breed classifier thanks to deep learning.
Finding-Donors-For-CharityML
The goal of this project is to build a machine learning model able to help CharityML (a fictitious charity organization) identify people most likely to donate to its cause.
Flowers-Taxonomic-Classification-Web-App
The goal of this project is to build, through Streamlit, a flowers taxonomic classification web app, mobilizing a deep learning approach supported by PyTorch.
IBM-Quantum-Challenge-2020
This repository contains the answers I provided during the IBM Quantum Challenge that took place between May 4, 2020 and May 8, 2020, and was organized by IBM to celebrate the fourth anniversary of IBM Quantum Experience.
Sentiment-Analysis-Web-App
The goal of this project is to build a sentiment analysis web app for movie reviews, based on existing IMDb reviews dataset, thanks to AWS SageMaker.
Severstal-Steel-Defect-Detection
The goal of this project is to study a challenge proposed through Kaggle by Severstal in 2019, with the aim to develop a deep learning model able to detect defects on flat steel sheets, which are key elements the company works on. Particularly, in this projet, to tackle the problem, Detectron2 and TorchServe frameworks were mobilized.
MrKsinant's Repositories
MrKsinant/Sentiment-Analysis-Web-App
The goal of this project is to build a sentiment analysis web app for movie reviews, based on existing IMDb reviews dataset, thanks to AWS SageMaker.
MrKsinant/IBM-Quantum-Challenge-2020
This repository contains the answers I provided during the IBM Quantum Challenge that took place between May 4, 2020 and May 8, 2020, and was organized by IBM to celebrate the fourth anniversary of IBM Quantum Experience.
MrKsinant/Severstal-Steel-Defect-Detection
The goal of this project is to study a challenge proposed through Kaggle by Severstal in 2019, with the aim to develop a deep learning model able to detect defects on flat steel sheets, which are key elements the company works on. Particularly, in this projet, to tackle the problem, Detectron2 and TorchServe frameworks were mobilized.
MrKsinant/Airbnb-New-Users-First-Booking-Country
The goal of this project is to study a challenge proposed through Kaggle by Airbnb in 2016, with the aim to help the company to predict where a new user will book his first travel experience.
MrKsinant/Ashrae-Buildings-Energy-Usage-Prediction
The goal of this project is to study a challenge proposed through Kaggle by ASHRAE in 2019, with the aim to develop accurate models of metered building energy usage in the following areas: chilled water, electricity, hot water, and steam meters.
MrKsinant/Bike-Sharing-Prediction
The goal of this project is to build a simple neural network from scratch to predict daily bike rental ridership.
MrKsinant/Creating-Customer-Segments
The goal of this project is to build a machine learning model, using unsupervised learning, to create customer segments in a dataset belonging to a wholesale distributor.
MrKsinant/Dog-Breed-Classifier
The goal of this project is to build a "very special" dog breed classifier thanks to deep learning.
MrKsinant/Finding-Donors-For-CharityML
The goal of this project is to build a machine learning model able to help CharityML (a fictitious charity organization) identify people most likely to donate to its cause.
MrKsinant/Flowers-Taxonomic-Classification-Web-App
The goal of this project is to build, through Streamlit, a flowers taxonomic classification web app, mobilizing a deep learning approach supported by PyTorch.
MrKsinant/Predicting-Boston-Housing-Prices
The goal of this project is to build a machine learning model able to predict homes prices in the Boston area, based on an existing 1979 archive dataset.
MrKsinant/Realistic-Face-Generator
The goal of this project is to build a realistic face generator, thanks to a generative adversarial network.
MrKsinant/Seinfeld-TV-Script-Generator
The goal of this project is to build a TV script generator based on the American television sitcom Seinfeld, thanks to a recurrent neural network.
MrKsinant/Teaching-A-Quadcopter-How-To-Fly
The goal of this project is to teach a quadcopter how to fly thanks to reinforcement learning.