amina-mardiyyah

amina-mardiyyah's Stars

• udacity/deep-learning-v2-pytorch

  Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

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• ogunlao/saint

  Unofficial Pytorch implementation of SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pretraining https://arxiv.org/abs/2106.01342

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• amina-mardiyyah/Python-Projects

  A repository on Python Projects for beginners , with links to related blog posts explaining concepts attached.

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• Ofunmi/LEARN-VIRTUAL

  WEEK 3 ASSIGNMENT1

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• Onyinyechi-Nwokocha/Learn-Virtual-Project-week3-

  Learn Virtual Assessment

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• abofficial444/Standard-Bank-Tech-Impact-Challenge

  3rd Place, Predict the likelihood of credit default of ecommerce clients

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• amina-mardiyyah/An-Introduction-to-Building-a-Model-in-Machine-Learning-

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• eddy1759/learn-virtual

  My first project on github

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• Hassan-Ib/plt-pd-np-exercise

  journey/progress/data science

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• Iyanu54/FirstPythonRepository

  Contains the following short programs:

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• onlydozie/Assingment_1-Learn-Virtual

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• Ofunmi/SCAMP-Assessment

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• Chinazo-Anebelundu/FOOD-QUALITY-ASSESSMENT

  The food inspection department conducts regular inspection on food quality for various restaurants in the city. It’s a very well documented procedure and over time some good amount of data has been generated out of these inspections. The inspection department would like to predict where they should focus most in terms of their next inspection schedule, so that they can most optimize their time at hand to catch the worst offenders. Can the past inspection or any data that they have collected predict which facility will pass or fail. You are provided with a subset of this dataset with information on food quality checks conducted on thousands of facilities that serve food across multiple cities. Your objective as a Data Scientist is to predict whether a facility will pass or fail the inspection based on a number of factors.

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• Horlawale-ui/fixme

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• abofficial444/Food-Assessment-Quality

  Problem Description The food inspection department conducts regular inspection on food quality for various restaurants in the city. It’s a very well documented procedure and over time some good amount of data has been generated out of these inspections. The inspection department would like to predict where they should focus most in terms of their next inspection schedule, so that they can most optimize their time at hand to catch the worst offenders. Can the past inspection or any data that they have collected predict which facility will pass or fail. In this hackathon, MachineHack provides you with a subset of this dataset with information on food quality checks conducted on thousands of facilities that serve food across multiple cities. Your objective as a Data Scientist is to predict whether a facility will pass or fail the inspection based on a number of factors.

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• fahidah/learnVirtual

  Introduction to Data Science using Python

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• Idris007/Assignment

  Python Assignment practice

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• abofficial444/2019-Data-Science-Bowl

  484th/3497th Top 14%; Competitors are challenged to predict scores on in-game assessments and create an algorithm that will lead to better-designed games and improved learning outcomes.

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• abofficial444/Data-Science-2019-AXA-MANSARD-INSURANCE

  A Supervised learning problem to predict the probability of a insuring a building

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• abofficial444/Financial-Inclusion-in-Tunisia-AI-TUNISIA-HACK-2019-

  prequalification to biggest AI hackathon challenge in tunis 2019

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• abofficial444/Food-Delivery-Time

  A Regression problem to predict food delivery time from a location to another in india, [Hosted on MachineHack platform]

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• abofficial444/MachineHack-Food-Quality

  1st place solution to Food Quality Inspection Check Hackathon conducted by MachineHack

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• abofficial444/Uber-Movement-SANRAL-Cape-Town-Challenge

  Unofficial 6th place solution; The aim of this challenge is to forecast if an incident will occur for each hour of each day per 500m road segment along the major roadways in Cape Town for 1 January 2019 to 31 March 2019

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• amina-mardiyyah/amina-mardiyyah

  About Me/My Portfolio

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• Chinazo-Anebelundu/LOAN-PREDICTION

  For this project, I built a model to predict if a loan collector falls under the category of people that will pay back or not. This was done as my final project for the course "Machine learning with python" on coursera.

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• Chinazo-Anebelundu/STAFF-PROMOTION-PREDICTION

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• dpalngnen/learnvirtual

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• Idris007/PYTHON-LESSONS

  python code to process ATM

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• Kosemani210194/-LearnVirtual

  My Assignment

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