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!

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 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.

Setting up AWS S3 and Getting Data into Databricks notebook. Then doing engineering and analysis with Python, Spark and SQL

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.).

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

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

This repo contains Data Visualization and Data Cleaning in R jupyter notebooks and pdfs.

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 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 notebook takes Tesla and GameStop stock data from the web, cleans it, and visualizes it in the dashboard using Plotly.

Analysis of in-game purchases made by players in the video game "Heroes of Pymoli." Key Tools: Python (pandas), Jupyter Notebook, groupby, data cleaning/munging

In this project I have worked on a data set (Bangalore home prices with all home details ) taken from Kaggle . Aim of the project is to predict the price of home in Bangalore city on the basis of past data. Starting from the data cleaning and observing the data's co-relation followed with the machine learning algorithm . This coding is done on j…

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.

Data analysis

Data Science

Archive of Jupyter-Notebooks used on my blog