Jupyter notebook and datasets from the pandas video series
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Updated
Mar 5, 2024 - Jupyter Notebook
Jupyter notebook and datasets from the pandas video series
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!
Data Science Feature Engineering and Selection Tutorials
Projects and colab worksheets of Python -programming, Deep learning for Computer-vision, Data-mining, Data-analysis and Advanced optimization techniques
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...
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.
This is a primer on Python and Jupyter Notebooks to help user researchers get started with cleaning, manipulating, and visualizing their data.
Archive of Jupyter-Notebooks used on my blog
Data Science
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.
Demonstration of skills analyzing data from a pet shelter. The CSV data contains tables detailing the incoming and outgoing animals and I use my knowledge of Pandas to gather and present the requested information.
A dataset of waste vehicles with 350,000+ rows is cleaned using pandas and jupyter notebook in python.
Setting up AWS S3 and Getting Data into Databricks notebook. Then doing engineering and analysis with Python, Spark and SQL
Jupiter Notebook with some techniques that I've learned for data cleaning using Python.
Notebooks and scripts with data cleansing methods.
Jupyter notebooks from Kaggle tasks and competitions.
Data cleaning, solved notebook- kaggle mini course.
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.).
Add a description, image, and links to the data-cleaning topic page so that developers can more easily learn about it.
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