kingabzpro/kingabzpro.github.io kingabzpro/kingabzpro.github.io

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kingabzpro/kingabzpro.github.io
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kingabzpro

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Repository Details

My portfolio : Projects, Resume, Contacts ,Blogs, and fun tool tips

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1

WOLOF-ASR-Wav2Vec2

Audio Preprocessing and finetuning of wav2vec2-large-xlsr model on AI4D Baamtu Datamation - Automatic Speech Recognition in WOLOF Data.
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2

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3

CICD-for-Machine-Learning

A beginner's project on automating the training, evaluation, versioning, and deployment of models using GitHub Actions.
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4

Image-Classification-FastAI.jl

Getting started with Julia Machine Learning Library with FastAI.jl
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Intro-to-AutoXGB

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7

DailoGPT-RickBot

Discord bot using DailoGPT pretrained model on Rick& Morty Dataset from Kaggle
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8

Annual-Recycled-Energy-Saved-in-Singapore

Learn how much Singapore is saving energy per years by recycling plastics, paper, glass, ferrous and non-ferrous metal
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9

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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10

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.
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11

kingabzpro

My introduction
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12

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
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13

Covid19-Vaccine-ML-Pipeline

Designing your first machine learning pipeline with few lines of codes using Orchest. You will learn to preprocess the data, train the machine learning model, and evaluate the results.
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14

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.
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15

Writing-Portfolio

Abid's writing portfolio is a collection of blogs, tutorials, cheat sheets, guides, projects, and books covering data analytics, machine learning, SQL, Python, natural language processing, large language models, artificial intelligence, machine learning operations, and career guidance.
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16

Malawi-News-Classification

Using text classifier to predict various categories in Malawi News articles using SMOTE and SGDClassifier.
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17

ML-Pipeline-Disaster-tweets

Design your first machine learning pipeline using simple steps on Orchest cloud.
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18

Consumer-Engagement-Popularity

We will be using Internet News and Consumer Engagement dataset from Kaggle to predict top article and popularity score.
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19

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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20

Creating-Python-Package-using-Jupyter-Notebook

Creating your first data science python package straight from Jupyter Notebook.
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21

GitHub-Actions-For-Machine-Learning-Beginners

A project on automating ML workflow using scikit-learn pipelines, CML, and GitHub actions.
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22

mlops-for-ai-course

To learn about the key components of MLOps, APIs and API designs.
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23

heroku-bmi-fastapi

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24

Deepnote-API-Automation

Automating my workflow
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25

Julia-Dataframes

I will display how it’s easy to use DataFrame.jl, just like pandas in python. I will use simple examples and a few lines of code to demonstrate data manipulation and data visualization. We will be using the famous Heart Disease UCI | Kaggle Dataset which has a binary classification of Heart Disease based on multiple factors.
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26

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27

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28

Digital-Learning-During-COVID19-EDA

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29

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30

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31

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From data ingestion to deploying the model using Jenkins.
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