Uncover FIFA insights for global football data, highlighting crucial World Cup performance indicators.
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Updated
May 12, 2024 - Jupyter Notebook
Uncover FIFA insights for global football data, highlighting crucial World Cup performance indicators.
This repository is dedicated to analyzing Amazon sales data to identify trends and insights that can help improve sales strategies and performance.
The main focus of this repository is to do some projects of Kaggle("Kaggle, a subsidiary of Google LLC, is an online community of data scientists and machine learning practitioners").
Data-Acquisition and Basic Insights, Data Wrangling, Exploratory Data Analysis (EDA), and Training Prediction Models(Machine Learning) on two datasets.
This project is for the Identification of Iris flower species is presented
In this Exploratory Data Analysis (EDA) project we'll clean up the data and prepare a report that gives insight into the shopping habits of Instacart customers.
Data on Youtube trending videos , cleaning and EDA
Analysis on Ontario Housing with Python
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