AbohI (blackhat-coder)

blackhat-coder

Geek Repo

Company:Open Source

Location:Nigeria

Home Page:abohisrael100@gmail.com

Twitter:@aboh_israel_

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AbohI's repositories

Blood-Spectroscopy

My solution to Blood Spectroscopy Challenge hosted by bloods.ai on Zindi to perform blood analysis non invasively by using spectral data gotten from NIR(Near Infra-Red).

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Tensorflow-VAE-

A Minimal Implementation of Variational AutoEncoders(VAEs) with Tensorflow

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FileOperations

A C++ Header File that let's you perform operations on files as objects

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keras-cv

Industry-strength Computer Vision workflows with Keras

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keras-nlp

Industry-strength Natural Language Processing workflows with Keras

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LinearRegression-A-Beginners-Guide-

This repo Implements basic Linear Regression with no Regularization

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xplore

A python package built for data scientist/analysts, AI/ML engineers for exploring features of a dataset in minimal number of lines of code for quick analysis before data wrangling and feature extraction.

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Claymore

Load testing tool for your endpoints(HTTP/HTTPs). Simulate real user workflows & behaviors.

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CleanArchitecture

Gathering management service that combines Clean Architecture, DDD(Domain Driven Design), CQRS(Command Query Responsibility Segregation) and other software patterns in building a modern application.

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ClusterAnalysis

Clustering analysis performed on Datasets using K-means clustering algorithm

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Principal-Component-Analysis-PCA-

My implementation of Principal Component Analysis(PCA) from scratch using Python(Numpy, Matplotlib)

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algos

Algorithms - data structure

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applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

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Boilerplate

Clean Architecture Solution Template for ASP.NET Core 5.0. Built with Onion/Hexagonal Architecture and incorporates the most essential Packages your projects will ever need. Includes both WebApi and Web(MVC) Projects.

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data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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learning

Becoming 1% better at data science everyday

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pandasgui

A GUI for Pandas DataFrames

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Real_Time_Image_Animation

The Project is real time application in opencv using first order model

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spectrai

spectrai: a deep learning framework for spectral data

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UHA2021

My ML prediction of UHA Hackathon

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