An introductory workshop on pandas with notebooks and exercises for following along.

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...

Inspecting the quality of isobaric labeling proteomic data in a Jupyter notebook. Data output from Proteome Discoverer.

Data Wrangling OpenStreetMap Milwaukee data with sqlite3 in iPython/Jupyter Notebook

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.

PySpark (Python for Apache Spark) Essentials - Wrangling Big Data for Machine Learning.

Data parsing with pandas in jupyter notebook.

Notebooks with some EDA and Machine Learning Models

Repo containing Jupyter notebooks with practice projects from DataCamp

Azure Databricks notebook sample to connect Blob Storage of Azure Log Analytics

Data wrangling of Austin OpenStreetMap data using Python, PyMongo, MongoDB, and Jupyter Notebooks.

Contains labs in Jupyter Notebooks created as part of my IBM Data Science Professional Certificate

This Jupyter notebook shows how average level of U.S. Senate representation varies with race and ethnicity.

A Jupyter Notebook with the analysis for a Whatsapp Chat using several techniques of data wrangling, EDA and Sentiment Analysis

Data analysis on bikeshare system using Python code under Jupyter Notebook to carry out EDA & visualization and Streamlit to develop interactive dashboard.

Wrangling and analysis of Tweets from WeRateDogs (@dogrates) with Python in Jupyter Notebook. Project focuses on gathering, assessing and cleaning data. Various methods, including Python's Requests and Tweepy packages for performing a GET Request and querying Twitter API, were used to collect Tweets and relevant data available online.

This repo features Jupyter Notebook labs for learning data analysis with Python. Explore data acquisition, wrangling, visualization, modeling, and evaluation. Enhance your skills in Python data analysis.

A classification approach to the machine learning Titanic survival challenge on Kaggle.Data visualisation, data preprocessing and different algorithms are tested and explained in form of Jupyter Notebooks

An analysis of European soccer/football from 2008 to 2016 using a dataset from Kaggle. I employ different data wrangling techniques to clean and filter the data using Python and Jupyter notebook.