clement-nshimiyimana Goto Github PK

2nd-place-solution-umojahack_2021-sendy

Sendy links customers who have delivery needs with vetted transporters (from bikes to trucks), using a web and mobile application platform as well as an API. Customers select their vehicle of choice, get their price quote upfront and pay using various payment options. The system optimises the route and dispatches the order to the closest available drivers and riders (called Partners). The objective of this challenge is to create a machine learning model that will predict whether a rider will accept, decline or ignore an order sent to them. Picking the best rider to service the order will improve the experience of the customer and potentially save on time since the rider won’t cancel, creating a more efficient service overall.

3mc-course-epidemiological-modelling

Material for the 3MC Course on Epidemiological Modelling held in South Africa in April 2022

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

airqo-ugandan-air-quality-forecast

Rank 12 / 328

ammi-bootcamp

ammi-first-week

ammi2021_bootcamp_project

This repo consists of the final project for the AMMI 2021 students

ammi_cv_week2_2021

automated_report

boot-camp-competition-ammi-2020

This repository contains our solution and submission file that ranked 1st at AMMI Rwanda in the boot camp competition organized at the end of the 2 week boot camp. The random forest regressor secured an RMSE score of 17.31265 private score and 26.27123 public score. The models in the notebook attempted to predict the price of a bottle of wine based on a collection of over one hundred thousand reviews and other product features.

cafeen

Kaggle Categorical Feature Encoding Challenge II, private score 0.78795 (110 place)

cassava-dataset-image-classification

The dataset consists of leaf images of the cassava plant, with 9,436 annotated images and 12,595 unlabeled ones.The goal is to learn a model to classify a given image into 4 disease categories or a 5th category indicating a healthy leaf. 🍃 🍂 🍁

cgiar_solution_code_to_get_4th_place

clement-nshimiyimana

Config files for my GitHub profile.

compuational_econ-

Classfiles for Kendricks Compuational Economics

dcgan-tutorial

DCGAN code for a class presentation on how to move from notebooks to scripts at AMMI

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

economic-well-being-prediction

exploring_detectron2

Explores detectron2 for instance segmentation, pose estimation, object detection and object tracking

fowl-escapades-competition

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gitclass

image_classification

image classification

indaba-2018

Practical Notebooks for the Deep Learning Indaba 2018

introduction-to-machine-learning

kaggler

Code for Kaggle Data Science Competitions

kernel-methods-in-machine-learning-ammi2020

This is the AMMI 2020 course in Kernel Methods in Machine Learning by Professors Jean Phillpe Vert & Julien Mairal assisted by Romain Menegaux.

market-basket-analysis

Market Basket Analysis in Python

medium_blog

Blog post on medium