Turki (aaturki)

aaturki

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Location:Riyadh

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Turki's repositories

sdaia_LLM

sdaia_LLM_Bootcamp

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sdaia_clouders

Cloud development is the foundation for leveraging the power of AI. This program is called “Clouder” which takes you from fundamentals to the advanced level of Google Cloud. The program uses engaging videos, labs, in-person and online lessons to teach you comprehensive topics and to prepare you for the following certificates:

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A-survey-was-conducted-to-gauge-an-audience-interest-in-different-data-science-topics

a plot to summarize the results of a survey that was conducted to gauge an audience interest in different data science topics namely:

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Analyse-GDP-of-Countries

DESCRIPTION Problem Statement: Evaluate the dataset containing the GDPs of different countries to: Find and print the name of the country with the highest GDP Find and print the name of the country with the lowest GDP Print out text and input values iteratively Print out the entire list of the countries with their GDPs Print the highest GDP value, lowest GDP value, mean GDP value, standardized GDP value, and the sum of all the GDPs

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Applied-Data-Science-with-Python-Specialization

Repository Part of the SDAIA AI Summer Champions Program in cooperation with the platforms Coursera and FutureX Applied-Data-Science-with-Python-Specialization.

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Clouders

Cloud development is the foundation for leveraging the power of AI.

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Data-Science-Capstone-Healthcare

Data Science Capstone Project Using Python and Tableau

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Deep_Learning_Specialization

laps from Coursera courses

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Discord-Ticket-Bot

Discord Ticket Bot Implementation

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GSP322

Build and Secure Networks in Google Cloud: Challenge Lab https://www.qwiklabs.com/focuses/12068?parent=catalog

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Leaflet

Peer-graded Assignment: R Markdown and Leaflet

Logistic_Regression_with_a_Neural_Network_Mindset

This i python notebook contains the code for logistic regression with a neural network mindset.

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Natural_Language_Processing_Specialization

Repository Part of the SDAIA AI Summer Champions Program in cooperation with the platforms Coursera and FutureX

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Planar_data_classification_with_one_hidden_layer

This notebook contains the python code for planar data classification with one hidden layer. It is assignment for Neural Network and Deep Learning course for Coursera.

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Practical-Machine-Learning

Practical Machine Learning by Johns Hopkins University

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Segmenting-and-Clustering-Neighborhoods-in-Toronto

Explore and cluster the neighborhoods in Toronto.

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Shiny-Application-and-Reproducible-Pitch

Developing Data Products Course - Course Project: Shiny Application and Reproducible Pitch

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