An OCaml kernel for Jupyter (IPython) notebook
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Updated
Jan 25, 2024 - OCaml
An OCaml kernel for Jupyter (IPython) notebook
📓 Some simple visualization and analysis of weibo user data using graph_tools.
The Spotify Data Analysis Project showcases data's role in diverse fields, using Python and libraries like Pandas,Numpy,Seaborn and Matplotlib, within the Jupyter Notebook environment. It explores music-related datasets, highlighting data's influence on decisions, research, and prediction, while honing technical skills and industry insights.
Repositorio con el notebook y el código con el cual resuelvo de modo completo los desafíos dejados por los instructores en la segunda clase de la semana de Inmersión de Datos
Repositorio con mi código escrito en el notebook con el cual resuelvo todos los desafíos dejados por los instructores de la primera clase de la semana de Inmersión de Datos de AluraLatam
Collection of all my Kaggle Notebooks
📚A repository that stores my notebooks on Kaggle and other learnings.
Python Code Documented by Me During Learning Some Topics
This Repository provides a NoteBook for studying the Customer Churn for Teleco Company.
some notebooks of all technics of data analysis
This project uses jupyter notebook to analyze and visualize a data set of Ford Gobike riders 2019-12.
"Hands on EDA" GitHub repo: Your ultimate guide to Exploratory Data Analysis (EDA) best practices, inspired by "Hands-On EDA with Python" book. Dive into curated code snippets and Jupyter notebooks for mastering EDA with Python. Perfect for all skill levels!
Analyze 40 S&P 500 sector-weighted stocks, evaluating portfolio strategies for return, risk, and the Sharpe ratio with Python (Pandas, NumPy, Matplotlib) in a Jupyter Notebook.
This project analyzes the famous Titanic dataset using a Random Forest Classifier to predict passenger survival. The analysis is done in a colab Notebook using Python and several data science libraries.
This project is a part of course Data Representation, Reduction & Analysis. Given 20,000 tweets from London region and we had to cluster then using K-means and DBSCAN after preprocessing of data. Written in python and implemented in jupyter notebook.
In this project, I am prominently trying to Analyse the airline data set, First I made a Dashboard in order to have an overview of the data, then I perform Data analysis in Jupyter notebook according to the problem statement and then make a final report.
Challenges Notebooks, Are notebooks from many sources That is solved as study case
Make sales analysis using some python libraries in Jupyter Notebook
Lagos state debt analysis using jupyter notebook
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