Jupyter notebook and datasets from the pandas video series

Data Science Feature Engineering and Selection Tutorials

A collection of Jupyter notebooks for AI and ML tasks. Explore, learn, and contribute to advance your skills in artificial intelligence and machine learning. #Hacktoberfest friendly!

This is a primer on Python and Jupyter Notebooks to help user researchers get started with cleaning, manipulating, and visualizing their data.

Jupyter notebook presenting the process of data preparation, research question formulation, data analysis, and data modelling with the goal of extracting insights from the 2018 PISA Dataset

This repository contains all the pre-requisite notebooks for my internship as a Machine Learning Developer at Technocolabs. It includes some of the micro-courses from kaggle.

A dataset of waste vehicles with 350,000+ rows is cleaned using pandas and jupyter notebook in python.

Projects and colab worksheets of Python -programming, Deep learning for Computer-vision, Data-mining, Data-analysis and Advanced optimization techniques

This is demo repo to demonstrate how to leverage Azure Text Analytics to perform Personally identifiable information (PII) data scrubbing by Python (Jupyter Notebook). This is important part of data wrangling/data cleaning.

This R Studio Markdown aims to analyze data from 2020 of FBI's Hate Crime Statistics with various key parameters as control variables and defend hypotheses about hate crimes and bias motivation.

Jupiter Notebook with some techniques that I've learned for data cleaning using Python.

This Jupyter notebook helps organize files in a Google Drive directory based on their file extensions. Files will be sorted into predefined categories depending on their types (documents, multimedia files, code files, etc.).

This is the notebook code and the dataset for the Google Fit Analysis I did for Analytics Vidhya Blog.

Python-based supervised machine learning project.

UniLaSalle-Public-Ressources : This public repository contains the notebooks and the data used for both : 2nd Year - Practical Statistical Tests 4th Year - Data Analysis with Python

This project focuses on analyzing sales data for Adidas products. It involves several steps, including data cleaning and exploratory data analysis (EDA) using Jupyter Notebook to ensure data accuracy and quality. The insights gained from the analysis are then visualized using Power BI

Jupyter Notebooks with different purposes: Social Network WebScrapping, ETL, Selenium WebDriver for Web Testing, Automation using Python, Data Wrangling, Data Transformation, Data Cleaning, Stock Market Analysis, APIs, Machine learning Algorithms, etc...

Data analysis

Data Science

Jupyter Notebook on breath alcohol test data from Ames, Iowa, USA.