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aayushkubb / repository
Open-Sourcing all of my python tutorials. Please use jupyter notebooks or google colab to run the notebooks and create an issue if there are any problems.
Open-Sourcing all of my Machine Learning tutorials. Please use jupyter notebooks or google colab to run the notebooks and create an issue if there are any problems.
Iris Data
Loan Prediction Data
Bigmart Sales Data
Boston Housing Data
Time Series Analysis Data
Wine Quality Data
Turkiye Student Evaluation Data
Heights and Weights Data
Black Friday Data
Human Activity Recognition Data
Siam Competition Data
Trip History Data
Million Song Data
Census Income Data
Movie Lens Data
Twitter Classification Data
Identify your Digits
Urban Sound Classification
Vox Celebrity Data
ImageNet Data
Chicago Crime Data
Age Detection of Indian Actors Data
Recommendation Engine Data
VisualQA Data
https://www.kaggle.com/aayushkubba/black-friday-python-basics
https://www.kaggle.com/aayushkubba/black-friday-sales-prediction
Selected from shared topics, language and repository description—not editorial ratings.
sumanthreddym /
Cortx Jupyter Integration is an Open Source python package which combines the power of Cortx and Jupyter Notebooks to empower you to save and manage all of your Notebooks, Checkpoints and Data Files on Cortx.
eavandoorn /
This repo contains some of my open source data projects. All iPython notebooks can be viewed from this github at http://nbviewer.jupyter.org/
hiteshsantwani /
pandas for Data Science is an introduction to one of the hottest new tools available to data science and business analytics specialists. pandas is an open-source library that provides high-performance, easy-to-use data structures and data analysis tools. While Python has excellent capabilities for data manipulation and data preparation, pandas adds data analysis and modeling tools so that users can perform entire data science workflows. Watch this course to gain an overview of pandas. Charles Kelly helps you get started with time series, data frames, panels, plotting, and visualization. All you need is a copy of the free and interactive Jupyter Notebook app to practice and follow along.