python-data-science
There are 50 repositories under python-data-science topic.
dataprofessor/code
Compilation of R and Python programming codes on the Data Professor YouTube channel.
program-spiritual/DataAnalysisInAction
(Finished) Geek Time Data Analysis Practical 45 Lecture - Detailed notes containing markdown images mind map code data can be read directly code test
stefmolin/pandas-workshop
An introductory workshop on pandas with notebooks and exercises for following along. Slides contain all solutions.
DataWithBaraa/python-ultimate-course
The most complete, beginner-to-advanced Python course on the internet. Modular learning, hands-on projects, animations, and real-world applications — from basics to AI. Taught by Data With Baraa.
geru-scotland/pylib-atlas
A curated list with useful Python programming tools and libraries, as well as other noteworthy resources.
itsleeds/tds
Transport Data Science, a post-graduate module at the University of Leeds' Institute for Transport Studies
dataprofessor/youtube
Collection of YouTube videos on data science on the Data Professor YouTube channel.
rohitmore1012/StockStream
StockStream is a web application developed using Streamlit, designed to provide users with real-time stock price data, stock price prediction, and stock price analysis. This repository contains the source code and related files for the StockStream web app. Explore the code and unleash the potential of StockStream for your financial analysis needs.
abcdaaaaaaaaa/MQDataScience
This library calculates slopes of gas sensors (MQ-2, MQ-3, MQ-4, MQ-5, MQ-6, MQ-7, MQ-8, MQ-9, MQ-131_low/high, MQ-135, MQ-136, MQ-137, MQ-138, MQ-214, MQ-216, MQ303A, MQ303B, MQ306A, MQ307A, MQ309A). Ceates data science visualization applications featuring 4D Slope Estimation with 3D MQ Graph Simulation.
hamidpy/data-science-app-road-accident-analysis
Data science web application for analysis motor vehicle collision in a city. Streamlit web app
Rion5/Python_Data_Science
Python Data Science Notes with DataCamp
soilwater/pynotes-gee
Repository of Jupyter notebooks aimed at learning how to use Python to retrieve data from Google Earth Engine
liyangbit/awesome-python-sources
include awesome python sources
sondosaabed/Introduction-to-Python-Programming
Course with Udacity. Python programming fundamentals such as data structures, variables, loops, and functions. Worked with data using libraries like NumPy and Pandas.
anggorodhanumurti/Rekomendasi-Film-Netflix
Project data science Python membuat rekomendasi film menggunakan metode Machine Learning
matcom/programming-for-data-science
Curso de Programación para la carrera de Ciencia de Datos de la Facultad de Matemática y Computación de la Universidad de La Habana.
Ki-Sung/100days_of_code_for_python
100days Challenge for Python Study
raovivek34/Airbnb-Business-Analysis-of-New-York-and-Austin-2019
Price Optimization Model for Airbnb, which helps Airbnb hosts set the right price for their Airbnb listing and provides customers, the benefit of cost. This is a Regression Analysis problem.
c-u-p/data-science-project
A data analysis mini project.
danielamiranda/3d-sudoku_python-dash
3d-sudoku prototype using Pulp library from Python and Dash for the GUI
HarshRangwala/NeuralNetworkProjects
Neural Networks in python from scratch
abcdaaaaaaaaa/MG811DataScience
This library calculates ppm values for MG811 gases (CO2, C2H5OH, CO, CH4 and Theoretical CO2). Ceates data science visualization applications featuring 4D Slope Estimation with 4D PPM Concentration Graph Simulation at 20-second (Response and Resume Curve) intervals.
abcdaaaaaaaaa/RadioactiveDataScience
This library offers seamless integration with Geiger counters, providing comprehensive radiation metrics such as µSv/hr, average dose rate, standard deviation, and CPM statistics (Avg, sdCPM, CPM count), while enabling advanced data science workflows through gradient-based Multidimensional Radioactive Decay Estimation using Python.
abcdaaaaaaaaa/SP3S-AQ2DataScience
This library calculates the ppm values of Methane, IsoButane, CO, Ethanol and Hydrogen using analog data obtained from the SP3S-AQ2-01 gas sensor. Additionally, the library supports Python-based data science applications, including ppm concentration graph simulations and a ppm slope estimation platform for advanced data analysis.
alexanderthclark/Python-for-Data-Analysis-Spring-2022
Columbia SPS Applied Analytics
drakyanerlanggarizkiwardhana/Real-time-Vehicle-Dection-Python
A python project that does real-time vehicle detection using a trained car-cascade Model
harsh-2025/stocks-analysis-python
StockStream is a web application developed using Streamlit, designed to provide users with real-time stock price data, stock price prediction, and stock price analysis. This repository contains the source code and related files for the StockStream web app. Explore the code and unleash the potential of StockStream for your financial analysis needs.
jbn/readstat
Evan Miller's ReadStat CLI, dockerized.
Lalla22/LA-Crime-and-Arrest-Data-Science-Project-Hack4LA-
Hack 4 LA: City of Los Angele's Crime and Arrest Data Project
Nasutan/Python-for-Data-Science-Tutorial
Python for Data Science Tutorial is for learning, practicing and referencing. This file is good for s/he that interested in learning Data Science.
PiyushG0999/Bank-Loan-Case-Study
Risk Analytics using Python
swalusimbi/Recess
This repo contains all the recess code for the six weeks training.
edwardnhw/ML-Bias-Variance-Poisson-Regression
This repository contains implementations of advanced regression methods, including ordinary least squares, Poisson regression, and locally weighted regression. It also explores bias-variance decomposition for regularized mean estimators. The analysis is conducted on the Capital Bikesharing dataset using Python.
josericodata/PythonPortfolio
Using Python in Jupyter Notebook to recreate queries for imaginary stakeholders. Demonstrates connecting to MySQL, exporting tables to Excel, merging data, cleaning datasets, and counting orders. Visualizations include bar plots, revenue plots, pie charts, scatter charts, and map manipulation with geopandas. Dataset from MySQL.