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

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Jovan Trajceski
MSc. Data Analytics (HKBU, Hong Kong) and CPA (Toronto, Canada) professional with experience in Data Science, Digital Transformation, and Analytics.
Jovan Trajceski
First steps with Python in Life Sciences

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Average time per match by division

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Analyse the limit order book in seconds. Zoom to tick level or get yourself an overview of the trading day.

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The official repository for ROOT: analyzing, storing and visualizing big data, scientifically

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TheMachineScraper 🐱‍👤 is an Information Grabber built for Machine Analysis

TheMachineScraper 🐱‍👤 is a tool made purely for analysing machine data for any reason.

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A simplified prototype for an as-built tracking database with API

Asbuilt_Trax A simplified prototype for an as-built tracking database with API The purpose of this project is to: Model a database that tracks constru

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Semi-Automated Data Processing

Perform semi automated exploratory data analysis, feature engineering and feature selection on provided dataset by visualizing every possibilities on each step and assisting the user to make a meanin

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Evaluation of a Monocular Eye Tracking Set-Up

Evaluation of a Monocular Eye Tracking Set-Up As part of my master thesis, I implemented a new state-of-the-art model that is based on the work of Che

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A script to "SHUA" H1-2 map of Mercenaries mode of Hearthstone

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A library to create multi-page Streamlit applications with ease.

A library to create multi-page Streamlit applications with ease.

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4CAT: Capture and Analysis Toolkit

4CAT: Capture and Analysis Toolkit 4CAT is a research tool that can be used to analyse and process data from online social platforms. Its goal is to m

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Bearsql allows you to query pandas dataframe with sql syntax.

Bearsql adds sql syntax on pandas dataframe. It uses duckdb to speedup the pandas processing and as the sql engine

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Binance Kline Data With Python

Binance Kline Data by seunghan(gingerthorp) reference https://github.com/binance/binance-public-data/ All intervals are supported: 1m, 3m, 5m, 15m, 30

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Pypeln is a simple yet powerful Python library for creating concurrent data pipelines.

Pypeln Pypeln (pronounced as "pypeline") is a simple yet powerful Python library for creating concurrent data pipelines. Main Features Simple: Pypeln

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A Numba-based two-point correlation function calculator using a grid decomposition

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Python package for analyzing sensor-collected human motion data

Python package for analyzing sensor-collected human motion data

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Udacity - Data Analyst Nanodegree - Project 4 - Wrangle and Analyze Data

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Handle, manipulate, and convert data with units in Python

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BasstatPL is a package for performing different tabulations and calculations for descriptive statistics.

BasstatPL is a package for performing different tabulations and calculations for descriptive statistics. It provides: Frequency table constr

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