A complete introduction to data analysis covering the basics of Python, Numpy, Pandas, Data Visualization, and Exploratory Data Analysis.
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Updated
Nov 8, 2021 - Jupyter Notebook
A complete introduction to data analysis covering the basics of Python, Numpy, Pandas, Data Visualization, and Exploratory Data Analysis.
💻UNDER CONSTRUCTION💻 A series of simple projects❤️ that I did while practicing Web scraping and parsing.✨
Exploratory Data Analysis of the 2019 Indian General Elections using a dataset from Kaggle.
Jovian Automation (jktool)
My machine learning Course files (FreeCodeCamp.org & Jovian.ai)
This repository contains code for DSA.
Course Project - Course - Data Analysis with Python: Zero to Pandas - Jovian
This project helps in scraping top 25 repositories of top topics on github
Various projects using prompts from Jovian, Data Analysis with Python: Zero to Pandas.
This repository contains the Python code and projects I created while learning the Data Analysis with Python: Zero to Pandas course. The course covers essential topics such as data cleaning, analysis, and visualization using powerful Python libraries like Pandas, NumPy, Matplotlib, and Seaborn.
The assignment is a part of 'Data Analysis with Python' course available on Jovian which I am undertaking currently. In this assignment, I’ll apply the skills I learned in the introductory stage which includes arithmetic operations, data types, loops and functions to solve some problems like basic Twitter Sentimental Analysis.
📊 Analyze data efficiently using Python’s top libraries. Learn to explore, clean, and visualize data for meaningful insights in your projects.
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