Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
Make your dataset talk to you. The AI assistant for data preparation.
A Holistic Platform for Automating Data Preparation
Trifacta Flows Examples and Templates. Flows zip files, recipes and datasets.
ScrapySub is a Python library designed to recursively scrape website content, including subpages. It fetches the visible text from web pages and stores it in a structured format for easy access and analysis. This library is particularly useful for NLP and AI developers who need to gather large amounts of web content for their projects.
This repo includes codes for ML Zoomcamp. If you can follow the tutorials from the link here: https://www.youtube.com/watch?v=rowoDjPc8HU&list=PL3MmuxUbc_hIhxl5Ji8t4O6lPAOpHaCLR 👩🏼💻
Public repository for custom blocks for Omniscope
mltrons dptron: Dirty Data in, Clean Data Out!
Learn data visualization through Tableau 2020 and create opportunities for you or key decision-makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks. This Course on Udemy
The Bikes Sales Analysis Excel Project is a practical exploration of sales data analysis using Microsoft Excel. This project showcases how Excel can be a powerful tool for data cleaning, preprocessing, visualization, and dashboard creation, all within a familiar spreadsheet environment.
Data Science materials
The project deals with determining and predicting the type of accident taking place in the city of Austin. The data would help in understanding what possible factors are leading to the accidents based on the severity of the incident that has occurred.
This repository demonstrates data imputation using Scikit-Learn's SimpleImputer, KNNImputer, and IterativeImputer.
The data is available in kaggle competitions. https://www.kaggle.com/competitions/spaceship-titanic I have participated and completed the competition on my own.
This is the cumulative repository for the research project Deep Learning Approach to Robotic Prosthetic Wrist Control using EMG Signals done in the AWEAR lab. This repository would consist of all the Data processing pipelines codes, custom data preprocessing library built for this project, and all the time series CNN training Jupyter notebooks u…
Trying to predict survival rate of passengers using algorithms like Logistic Regression, Ada Boost, Gradient Boost , Decision Tree Classifiers , Extra Tree Classifiers , Random Forest Classifiers and XG Boost with appropriate data preprocessing techniques.
CAN U PREDICT CORRECTLY WHETHER A CUSTOMER WILL CANCEL THE RESERVATION?? You can find the dataset from this kaggle website: https://www.kaggle.com/datasets/ahsan81/hotel-reservations-classification-dataset
For a real estate firm, building a house price prediction model based upon various factors. Problem - Regression | Algorithm used -Linear Regression using OLS
A GoogleSheet-based dashboard for analyzing bike sales data, customer behavior, and demographic trends through interactive visualizations and data filtering.
This is my 6th semester Essentials of Data Analytics project.
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