Here you can find various (Jupyter) notebooks and bioinformatics scripts (mostly Linux shell) organized in folders depending on the topic or source

Data Analysis archives from multiple datasets

Notebook of DataCamp Projects

Data Analysis with Python course Jupyter notebooks

Final jupyter notebook for data analysis with python course

Python notebooks for Career Foundry Data Analysis Course - Achievement 4

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

🌲 Learning the different implementation approaches of decision trees using Python (Jupyter Notebook).

this is notebook show some ideas in analysis and visualization in Coursera Course Dataset

A Jupyter Notebook about analyzing and predicting a small dataset of car prices in India.

Análise de dados de pacientes com câncer de mama realizado com linguagem Python, através do Jupyter Notebook.

Shallow and Deep Learning resources. Programming Language: Python 3.7 and R | IDE: Jupyter Notebook and RStudio

📌 Welcome to this notebook. The goal of this notebook is to demonstrate how to handle credit card fraud datasets for ML fraud detection. Credit card fraud datasets have several specifications that make them unique and require specialized handling.

This repository contains all the jupyter notebooks which is part of tutorial of Data Science by Harry Bhai.

This is a practical data analysis training course. Notebooks are used to describe and discuss various topics. Find excepts inside.

This project presents an insightful data analysis of Google Play Store apps. The Jupyter Notebook included provides detailed visualizations and statistical summaries.

This Repository consist of all the Jupyter Notebooks, Images, PDF and .CSV files of the tasks that were assigned during the BCG Data Science Job Sim hosted on Forage

Учебный проект с аналитикой данных. Проект выполнен в Jupiter Notebook с помощью GUI-интерфейса Anaconda. Проект написан на Python с использованием библиотек: Pandas, Numpy, Matplotlib, Matplotlib.pyplot, Seaborn.

Notebooks for "Interpretable Machine Learning" course at University of Warsaw, 2021. Each homework utilises different XAI and ML techniques on different data sets.

Career Foundry data analytics project to provide a client recommendations on a marketing strategy. Jupyter notebooks include cleaning and merging data along with creating new columns to offer the best understanding of consumers' interactions with products.