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airflow-data-pipelines-with-docker-and-google-cloud

Apache Airflow tutorial

bigdataindepth

Data Engineering Course

deploying-a-sentiment-analysis-model

Deploying a Sentiment Analysis Model (Udacity assigment)

github-markdown-toc

Easy TOC creation for GitHub README.md

heart-diseases-detector-using-python-data-analytics

Using Data analysis techniques and visualization with python, I’ve done a project that can detect heart diseases from data sets of ECG signals from different patients

impact-of-handwashing-using-pandas

Reanalyse the data behind one of the most important discoveries of modern medicine which is handwashing using pandas and matplotlib libraries in Python

incorta-devops-task

It’s required to have a script to automatically record system resources utilization on a Linux machine. We expect to have 3 CSVs files under /opt/ directory. - CPU.csv - MEM.csv [Free memory percencetage ] - DISK.csv [ Root disk available space percentage ] Each row should have two columns timestamp and utilization at that time. This should be triggered every 15 minutes. In the other part we need to use the configuration management tool like Ansible to do the following: - Deploy and schedule the above script. - Install some Linux packages passed as parameters. - Install Java OpenJDK 11.

kaggle-machine-learning-house-prices-with-eda-and-lasso-regularization

This is an implementation for the famous Kaggle competition "House Prices" using EDA tools, feature engineering, handling outliers and missing data and finally machine learning linear models and regularization.

linux-untilization-python-script

machine-learning-stanford-coursera-assignments

This course provides a broad introduction to machine learning using Matlab or GNU Octave.

markdown-cheatsheet

Markdown Cheatsheet for Github Readme.md

parking-detection-with-digital-image-processing-

Parking slot detection system using computer vision algorithms with python and OpenCV library to detect any kind of parking slots in real time, it was an essential module in autonomous driving

predicting-credit-card-approvals-machine-learning-with-python

Building a machine learning model to predict if a credit card application will get approved using scikit-learn python library

predictive-maintiance--machine-learning-on-time-series-for-failure-detection

The data represent an imbalanced time series readings from machines that represent the machine status daily aggregated from machine logs and the mission is to anticipate the failure of the machine 1 day before its occurrence

start-with-docker