Python Practicum - prepare for your Data Science interview or get a refresher.

Last update: Jul 27, 2021

Overview

Python-Practicum

Python Practicum - prepare for your Data Science interview or get a refresher.

Data

Data visualization using data on births from the state of North Carolina.
Data manupulation is based on "txhousing.csv"

Jupiter Notebook:

https://github.com/trajceskijovan/Python-Practicum/blob/main/Python%20Practicum.ipynb

Sample Insights

Owner

Jovan Trajceski

MSc. Data Analytics (HKBU, Hong Kong) and CPA (Toronto, Canada) professional with experience in Data Science, Digital Transformation, and Analytics.

GitHub Repository

Numerical Analysis toolkit centred around PDEs, for demonstration and understanding purposes not production

Numerics Numerical Analysis toolkit centred around PDEs, for demonstration and understanding purposes not production Use procedure: Initialise a new i

1 Nov 13, 2021

Educational project on how to build an ETL (Extract, Transform, Load) data pipeline, orchestrated with Airflow.

ETL Pipeline with Airflow, Spark, s3, MongoDB and Amazon Redshift

214 Jan 02, 2023

TE-dependent analysis (tedana) is a Python library for denoising multi-echo functional magnetic resonance imaging (fMRI) data

tedana: TE Dependent ANAlysis TE-dependent analysis (tedana) is a Python library for denoising multi-echo functional magnetic resonance imaging (fMRI)

136 Dec 22, 2022

Monitor the stability of a pandas or spark dataframe ⚙︎

Population Shift Monitoring popmon is a package that allows one to check the stability of a dataset. popmon works with both pandas and spark datasets.

403 Dec 07, 2022

Full ELT process on GCP environment.

Rent Houses Germany - GCP Pipeline Project: The goal of the project is to extract data about house rentals in Germany, store, process and analyze it u

2 Jan 20, 2022

Fast, flexible and easy to use probabilistic modelling in Python.

Please consider citing the JMLR-MLOSS Manuscript if you've used pomegranate in your academic work! pomegranate is a package for building probabilistic

3k Jan 02, 2023

Udacity-api-reporting-pipeline - Udacity api reporting pipeline

udacity-api-reporting-pipeline In this exercise, you'll use portions of each of

1 Feb 15, 2022

DenseClus is a Python module for clustering mixed type data using UMAP and HDBSCAN

DenseClus is a Python module for clustering mixed type data using UMAP and HDBSCAN. Allowing for both categorical and numerical data, DenseClus makes it possible to incorporate all features in cluste

53 Dec 08, 2022

Creating a statistical model to predict 10 year treasury yields

Predicting 10-Year Treasury Yields Intitially, I wanted to see if the volatility in the stock market, represented by the VIX index (data source), had

10 Oct 27, 2021

Stochastic Gradient Trees implementation in Python

Stochastic Gradient Trees - Python Stochastic Gradient Trees1 by Henry Gouk, Bernhard Pfahringer, and Eibe Frank implementation in Python. Based on th

2 Nov 18, 2022

PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

PandaPy "I came across PandaPy last week and have already used it in my current project. It is a fascinating Python library with a lot of potential to

527 Jan 02, 2023

Techdegree Data Analysis Project 2

Basketball Team Stats Tool In this project you will be writing a program that reads from the "constants" data (PLAYERS and TEAMS) in constants.py. Thi

2 Oct 23, 2021

pyETT: Python library for Eleven VR Table Tennis data

pyETT: Python library for Eleven VR Table Tennis data Documentation Documentation for pyETT is located at https://pyett.readthedocs.io/. Installation

5 Nov 19, 2022

Convert monolithic Jupyter notebooks into Ploomber pipelines.

65 Dec 16, 2022

For making Tagtog annotation into csv dataset

tagtog_relation_extraction for making Tagtog annotation into csv dataset How to Use On Tagtog 1. Go to Project Downloads 2. Download all documents,

4 Dec 28, 2021

Statistical & Probabilistic Analysis of Store Sales, University Survey, & Manufacturing data

Statistical_Modelling Statistical & Probabilistic Analysis of Store Sales, University Survey, & Manufacturing data Statistical Methods for Decision Ma

1 Jan 27, 2022

A CLI tool to reduce the friction between data scientists by reducing git conflicts removing notebook metadata and gracefully resolving git conflicts.

databooks is a package for reducing the friction data scientists while using Jupyter notebooks, by reducing the number of git conflicts between different notebooks and assisting in the resolution of

86 Dec 25, 2022

Python Practicum - prepare for your Data Science interview or get a refresher.

Related tags

Overview

Python-Practicum

Data

Jupiter Notebook:

Sample Insights

Owner

Jovan Trajceski

Numerical Analysis toolkit centred around PDEs, for demonstration and understanding purposes not production

Educational project on how to build an ETL (Extract, Transform, Load) data pipeline, orchestrated with Airflow.

TE-dependent analysis (tedana) is a Python library for denoising multi-echo functional magnetic resonance imaging (fMRI) data

Monitor the stability of a pandas or spark dataframe ⚙︎

Full ELT process on GCP environment.

Fast, flexible and easy to use probabilistic modelling in Python.

Udacity-api-reporting-pipeline - Udacity api reporting pipeline

DenseClus is a Python module for clustering mixed type data using UMAP and HDBSCAN

Creating a statistical model to predict 10 year treasury yields

Stochastic Gradient Trees implementation in Python

PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

Techdegree Data Analysis Project 2

pyETT: Python library for Eleven VR Table Tennis data

Convert monolithic Jupyter notebooks into Ploomber pipelines.

For making Tagtog annotation into csv dataset

Statistical & Probabilistic Analysis of Store Sales, University Survey, & Manufacturing data

A CLI tool to reduce the friction between data scientists by reducing git conflicts removing notebook metadata and gracefully resolving git conflicts.

Tablexplore is an application for data analysis and plotting built in Python using the PySide2/Qt toolkit.

Deep universal probabilistic programming with Python and PyTorch

Desafio proposto pela IGTI em seu bootcamp de Cloud Data Engineer