17rsuraj / data-curious
This repository includes my project, done during a Data Science Internship
☆43Updated last year
Alternatives and similar repositories for data-curious:
Users that are interested in data-curious are comparing it to the libraries listed below
- Repository for the book Simplifying Machine Learning with PyCaret.☆65Updated last year
- All graphs from Storytelling With Data written by Cole Nussbaumer Knaflic recreated with Highcharts in Next.js☆27Updated 2 years ago
- A collection of application which are built on open source technologies/frameworks like R Shiny, Plotly-Dash, Flask and Streamlit☆54Updated 3 months ago
- Source Code for 'Applied Data Science Using PySpark' by Ramcharan Kakarla, Sundar Krishnan, and Sridhar Alla☆45Updated 3 years ago
- ☆25Updated 3 years ago
- Mastering Tableau 2021 published by Packt☆34Updated 2 years ago
- Check the basic quality of any dataset☆11Updated 3 years ago
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆17Updated 2 years ago
- ☆30Updated 3 years ago
- ☆50Updated 2 years ago
- Code I use in my medium blog/articles.☆36Updated 7 months ago
- Time Series Analysis with Python Cookbook, Second Edition - Published by Packt☆37Updated last week
- This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded …☆27Updated 3 years ago
- Code repository for the book Feature engineering with Feature-engine☆14Updated 10 months ago
- Intro to Polars Tutorial☆23Updated last year
- Use Multiple Linear Regression, Python, Pandas, and Matplotlib to analyze the lifetime value and the key factors of the ‘Telco Customer C…☆10Updated 4 years ago
- Data cleaning, Tokenization, Regular Expressions and Pandas guide.☆66Updated 2 years ago
- In this notebook, we will create an AI and time serie driven forecasting engine based on a set of 5 AI models and 5 time series models an…☆14Updated 3 years ago
- Practical Data Science with Python, published by Packt☆123Updated 2 years ago
- Code and materials for Effective Polars book☆75Updated 11 months ago
- Data Cleaning and Exploration with Machine Learning☆53Updated 2 years ago
- ☆20Updated last year
- Slides for "Feature engineering for time series forecasting" talk☆58Updated 2 years ago
- To create a market mix model for ElecKart (an e-commerce firm from Ontario, Canada) for several products categories - to observe the actu…☆22Updated 5 years ago
- Cleaning Data for Effective Data Science, published by Packt☆97Updated 2 years ago
- Python script that will break text into words and n-grams.☆15Updated 2 years ago
- Live Training: Market Basket Analysis in Python☆45Updated 4 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆43Updated 4 years ago
- Extending Power BI with Python and R, 2nd edition, published by Packt☆23Updated 2 months ago
- ☆30Updated 4 years ago