Abid Ali Awan (kingabzpro)

kingabzpro

Geek Repo

Company:@kdnuggets

Location:Islamabad

Home Page:abid.work

Twitter:@1abidaliawan

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Abid Ali Awan's repositories

FastAPI-ML-Project

Learning and buiding API using Fast API

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tokenization-layer

An NLP tokenization algorithm that is a trainable layer for neural networks.

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booksbot

A crawler for http://books.toscrape.com

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dataqtor

🔍Your Data Quality Detector / Gain insight into your data and get it ready for use before you start working with it 💡📊🛠💎

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streamlit_navbar

An example of how to make an streamlit app with a navbar.

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meghna-hugo

Meghna Hugo is a responsive one-page business template built with HTML5/CSS3, Hugo, JavaScript, and JQuery. The template is minimalist, lightweight, and fast loading.

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fastbook

The fastai book, published as Jupyter Notebooks

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hugo-toha.github.io

An example hugo static site with Toha theme.

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NLP-Tweets-Web-App

Using Streamlit app and ExpertAi to find sentiment Analysis of Airlines tweets from Database and using the interactive tool to predict new sentiment from latest tweets.

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Natural-Language-Processing-Projects

This repository consists of all my NLP Projects

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rhyme-with-ai

Rhyme with AI

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discord-nlp-smily-bot

A discord bot to analyse message and react with a smily.

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Yoruba-Machine-Translation

The goal of this challenge is to build a machine translation model to translate sentences from Yorùbá language to English language in several domains like news articles, daily conversations, spoken dialog transcripts and books.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:3Issues:0Issues:0

MagNet-Model-the-Geomagnetic-Field

In this challenge, your task is to develop models for forecasting Dst that push the boundary of predictive performance, under operationally viable constraints, using the real-time solar-wind (RTSW) data feeds from NOAA’s DSCOVR and NASA’s ACE satellites. Improved models can provide more advanced warning of geomagnetic storms and reduce errors in magnetic navigation systems.

Language:Jupyter NotebookLicense:MITStargazers:4Issues:0Issues:0

Kaggle-competition-2020

In the past decade, computer science has evolved and the importance of Data Science has become the new norm, every company s looking to invest more in Machine learning. This is where someone like me who never had an Interest before got curious and started learning more about this world of Kaggle, it took me 3 months to get hold of some of the basic and advanced tools used by Data Scientists. I am using those same tools to evaluate this data set and come up with the best conclusion. In this Notebook, I will be telling you the story of data and I will be sharing my own experience so that any beginner can learn from my mistake and get ahead.

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tutorials

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

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automate-ml-with-dvc

Example for ML REPA Week 2021 conference

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JuliaTutorials

Learn Julia via interactive tutorials!

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simple-icons

SVG icons for popular brands

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textrank-streamlit

A web app built with Streamlit that summarizes input text

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Data-Science-Projects-on-DataCamp

Data Scince guided and guided course on Datacamp, learning more about Data cleaning, pipeline, Visualization, predictive analysis, Machne learning with both python and R

Language:Jupyter NotebookLicense:MITStargazers:3Issues:0Issues:0

streamlit-demo-financial-eda

Automated Exploration Data Analysis on a financial dataset

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Web-Scraping-and-sqlite3

Web scraping and loading data to sqlite3

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