Basics of ML libraries Explained through Jupyter Notebooks
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Updated
May 17, 2020 - Jupyter Notebook
Basics of ML libraries Explained through Jupyter Notebooks
All new Data science and deep learning frameworks notebook tutorials.
I'm sharing my Kaggle Pandas Course - Exercise complete solution notebook which I have solved while undertaking this course.
This is a public repository of Jupyter notebooks with introductory tutorials on different aspects of Python programming. Please star us if you think it is useful:
Repository containing portfolio of data science projects completed by me for academic, self learning, and hobby purposes. Presented in the form of iPython Notebooks, and Python files in corresponding modules .
A collection of Jupyter notebooks covering Python concepts, software design principles, and key libraries.
Data visualization, solved notebook- kaggle mini course.
Comprehensive Solution Notebook for Kaggle Pandas Course Exercises.
Useful Python Scripts
This repo contains jupyter notebooks for learning pytorch-lightning
Python library for encapsulating a function definition inside a temporary module file (mostly for use with multiprocessing and Jupyter Notebook).
This Jupyter Notebook contains an exploratory data analysis (EDA) of Zomato restaurant data. It includes data cleaning, visualization, and insights into restaurant ratings, pricing, cuisine distribution, and location-based trends.
A collection of Jupyter Notebooks covering the fundamentals of Python programming. This repository includes practical lessons on core topics such as lists, strings, functions, iteration, dictionaries, and tuples. Perfect for beginners looking to solidify their understanding of Python.
This project analyzes COVID-19 data in India using a Jupyter Notebook for data cleaning, visualization, and statistical modeling. It includes a PowerPoint with key findings and an Excel dashboard for interactive exploration, aiming to provide insights for public health decisions.
Interactive Python & Streamlit app visualizing 2009–2019 Indian weather trends across eight major cities.
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