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altschool-clone-assignment

alvin-smart-money-management-classification-challenge

Data for this challenge has been collected over 11 months during Alvin’s Beta release. If a user is the first user to purchase at a merchant, the app asks the user to manually classify the merchant. The next user to purchase at that merchant has the opportunity to confirm the suggestion or enter a new categorisation. Alvin currently registers user transaction data via MPESA SMS receipts, but some users classify their purchases manually. There are ~400 purchases in train and ~600 in test. These ~1000 transactions have been verified by Alvin as the correctly classified. There are ~10 000 unverified transactions in the unvervified file, these are purchases users have classified themselves and Alvin has not checked. Note there are 13 classes. If your model does not predict all classes you will need to manually add the missing columns filled with 0. The objective of this challenge is to create a machine learning algorithm that classifies each purchase into one of 13 different categories.

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

aws-machine-learning-university-accelerated-cv

Machine Learning University: Accelerated Computer Vision Class

aws-machine-learning-university-accelerated-nlp

Machine Learning University: Accelerated Natural Language Processing Class

aws-machine-learning-university-accelerated-tab

Machine Learning University: Accelerated Tabular Data Class

aws-machine-learning-university-dte

Machine Learning University: Decision Trees and Ensemble Methods

bacteria-segmentation

Implementation of the U-Net segmentation architecture for the segmentation of bacteria cells in blood samples.

battledim

betanalysisepl

A predictive model that predicts the outcome of a match using a LinearRegression and LogisticRegression

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

datadrive2030-early-learning-predictors-

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

diceytech-captiongenerator

digital-africa-plantation-counting-challenge

Working On it

dsn-hackathon-2023

enzagroup-chatbot

facial-recognition-system

fashionmnist-with-pytorch

FashionMNIST Classification with Python

fellowship.ai

free-ai-classes-in-every-city-hackathon

A Nigerian automobile company, Great Motors, has just employed you as their lead data scientist for the analytics division. Great Motors deals in used cars, with a huge market base in Nigeria. The company has a unique platform where customers can buy and sell cars. A seller posts details about the vehicle for review by the company’s mechanic on the platform to ascertain the vehicle's value. The company then lists the car for sale at the best price. Great Motors makes its profit by receiving a percentage of the selling price listed on the company platform. To ensure the car's selling price is the best for both the customer selling the vehicle and Great Motors, you have been assigned the task of coming up with a predictive model for determining the price of the car. Your job is to predict the price the company should sell a car based on the available data the mechanics have submitted to you. The objective of the challenge is to predict the price (Amount (Million Naira) the company should sell a car based on the available data (Location, Maker, Model, Year, Colour, Amount (Million Naira), Type, Distance). The objective is the predict the selling price.

hack-the-feed-hackathon

hdsc-introduction-to-python-for-machine-learning

As a first step towards a productive career as a data professional, you have been assigned a project with datasets from the FAO. See details inside this repository.

huggingface-model-lora-finetuning-for-text-summarisation

A notebook implementation of Low Rank Adaptation finetuning of a huggingface model for text summarisation

ibm-ai-engineering

ivy

The Unified Machine Learning Framework

keras

Building a Regression Model with Keras

laduma-analytics-football-league-winners-prediction-challenge

learnopencv

Learn OpenCV : C++ and Python Examples

mask-rcnn-pytorch

Mask RCNN from Scratch Using Pytorch