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.

A GitHub compiling the input data, Python and Jupyter Notebook scripts, and all relevant statistical outputs from running the AutoMLPipe-BC automated machine learning pipeline (from the Urbanowicz Lab - https://github.com/UrbsLab) on a large-scale single nucleotide polymorphism (SNP) dataset from patients with congenital heart disease (CHD)

This repository contains my data science projects/assignments completed for academic and self-learning. The projects/assignments are mostly in Jupyter notebook files. Please do contact me via LinkedIn if you are hiring a data scientist. 🤓

Jupyter Notebook that scrapes NBA player salary data from espn.com, injects that data into an existing dataset (one owned by TrueHoop CEO and CoFounder Henry Abbott), and exports the resulting augmented dataset to a .csv file.

In this series of notebooks, we will dive into each step of the data analysis process of a data set with some information about a list of cars and several attibutes, including their prices. So essentially we will develop a model to predict cars price.

Discover 'Data Science Complete Course' on GitHub - Python notebooks, datasets, and structured daily lessons (day1, day2, etc.). Dive into hands-on examples, exercises, and lectures for a comprehensive learning experience. Elevate your data science skills with this curated and organized repository. #DataScience #Python #GitHub