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

Data Intelligence Applications - Online Product Advertising and Pricing with Context Generation

Data Intelligence Applications - Online Product Advertising and Pricing with Context Generation Overview Consider the scenario in which advertisement

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Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.

Sensitivity Analysis Library (SALib) Python implementations of commonly used sensitivity analysis methods. Useful in systems modeling to calculate the

663 Jan 05, 2023

Elasticsearch tool for easily collecting and batch inserting Python data and pandas DataFrames

ElasticBatch Elasticsearch buffer for collecting and batch inserting Python data and pandas DataFrames Overview ElasticBatch makes it easy to efficien

21 Mar 16, 2022

Option Pricing Calculator using the Binomial Pricing Method (No Libraries Required)

Binomial Option Pricing Calculator Option Pricing Calculator using the Binomial Pricing Method (No Libraries Required) Background A derivative is a fi

1 Nov 29, 2021

CleanX is an open source python library for exploring, cleaning and augmenting large datasets of X-rays, or certain other types of radiological images.

cleanX CleanX is an open source python library for exploring, cleaning and augmenting large datasets of X-rays, or certain other types of radiological

20 Jan 05, 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

Program that predicts the NBA mvp based on data from previous years.

NBA MVP Predictor A machine learning model using RandomForest Regression that predicts NBA MVP's using player data. Explore the docs » View Demo · Rep

1 Jan 21, 2022

Project: Netflix Data Analysis and Visualization with Python

Project: Netflix Data Analysis and Visualization with Python Table of Contents General Info Installation Demo Usage and Main Functionalities Contribut

2 Feb 13, 2022

Example Of Splunk Search Query With Python And Splunk Python SDK

SSQAuto (Splunk Search Query Automation) Example Of Splunk Search Query With Python And Splunk Python SDK installation: ➜ ~ git clone https://github.c

1 Nov 14, 2021

Leverage Twitter API v2 to analyze tweet metrics such as impressions and profile clicks over time.

Tweetmetric Tweetmetric allows you to track various metrics on your most recent tweets, such as impressions, retweets and clicks on your profile. The

29 Oct 18, 2022

Data-sets from the survey and analysis

bachelor-thesis "Umfragewerte.xlsx" contains the orginal survey results. "umfrage_alle.csv" contains the survey results but one participant is cancele

1 Jan 26, 2022

A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using the tools and APIs you know and love from the PyData stack (such as numpy, pandas, and scikit-learn).

This tutorial's purpose is to introduce Pythonistas to methods for scaling their data science and machine learning work to larger datasets and larger models, using the tools and APIs they know and lo

102 Nov 10, 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

Data Intelligence Applications - Online Product Advertising and Pricing with Context Generation

Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.

Elasticsearch tool for easily collecting and batch inserting Python data and pandas DataFrames

Option Pricing Calculator using the Binomial Pricing Method (No Libraries Required)

CleanX is an open source python library for exploring, cleaning and augmenting large datasets of X-rays, or certain other types of radiological images.

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

Program that predicts the NBA mvp based on data from previous years.

Project: Netflix Data Analysis and Visualization with Python

Example Of Splunk Search Query With Python And Splunk Python SDK

Leverage Twitter API v2 to analyze tweet metrics such as impressions and profile clicks over time.

Data-sets from the survey and analysis

A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using the tools and APIs you know and love from the PyData stack (such as numpy, pandas, and scikit-learn).

The micro-framework to create dataframes from functions.

Picka: A Python module for data generation and randomization.

Pipeline and Dataset helpers for complex algorithm evaluation.

talkbox is a scikit for signal/speech processing, to extend scipy capabilities in that domain.

Randomisation-based inference in Python based on data resampling and permutation.

MDAnalysis is a Python library to analyze molecular dynamics simulations.

A tool to compare differences between dataframes and create a differences report in Excel

Functional tensors for probabilistic programming