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azure-diagnostics-tools

Plugins and tools for collecting, processing, managing, and visualizing diagnostics data and configuration

bayesian-deep-rul

Official implementation of https://arxiv.org/abs/1911.06256. Bayesian and frequentist deep learning models for remaining useful life (RUL) estimation implemented in PyTorch.

bayesiantcn

This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.

beginners-crash-course-to-elastic-stack-series-table-of-contents

capstone-project

Capstone Project with Hamoye during my internship in Data Engineering

climate_data_analysis

colossalai

Making big AI models cheaper, easier, and more scalable

continuous-wavelets-cnn

An investigation into the potential benefits of utilising the Continuous Wavelet Transform (CWT) to improve the accuracy of a machine learning model. In this case human gesture recognition using smartphone accelerometers.

devops-task

DevOps Helm Chart Task

investigating_dataset_tmdb_movies

Project on Investigating a dataset on ALX-T Data Analyst Nanodegree Program

kubeflow_test

live_coding_session_on_time_series_analysis

livecoding_session_on_kubeflow_pipeline_and_components

medium

Scripts for Medium articles

mixed_effect_model

This shows my report on the effect of sleep deprivation on reaction time.

nasa_rul_-cmaps-

Remaining Useful Life (NASA CMAPS Dataset)

prog_models

The NASA Prognostic Model Package is a Python framework focused on defining and building models for prognostics (computation of remaining useful life) of engineering systems, and provides a set of prognostics models for select components developed within this framework, suitable for use in prognostics applications for these components.

project-on-the-prediction-of-the-price-of-diamond

This is a hands on project, from my ongoing classes on One Campus Academy on Data Analytics

project_on_credit_card_defaults

project_on_heart_disease

Project assignment during my internship with One Campus Academy on Heart Disease

python-practice

This repository houses my python learnings.

retrieval_augmented_generation

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

rul-prediction

Remaining useful life estimation of NASA turbofan jet engines using data driven approaches which include regression models, LSTM neural networks and hybrid model which is combination of VAR with LSTM

rul_codes_open

This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.

rul_using_cnn_lstm

Predict remaining useful life of a machine from it's historical data using CNN and LSTM

sigma_coding_youtube

This is a collection of all the code that can be found on my YouTube channel Sigma Coding.

speech_to_text

tesseract

Tesseract Open Source OCR Engine (main repository)

textsummarisation

turbofan_usefull_life_prediction

given run to failure measurements of various sensors on a sample of similar jet engines, estimate the remaining useful life (RUL) of a new jet engine that has measurements of the same sensor for a period of time equal to its current operational time.