datawrangling
There are 8 repositories under datawrangling topic.
- visidataLanguage:Python 7969
nischalshrestha / Unravel
A fluent code explorer for R. 🔍
Language:R 105sanithps98 / Automobile-Dataset-Analysis
This project analyzes and visualizes the Used Car Prices from the Automobile dataset in order to predict the most probable car price
Language:Jupyter Notebook 44NikhilaThota / CapstoneProject_House_Prices_Prediction
Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and suggested a best model to predict the final sale price of a house. Seaborn is used to plot graphs and scikit learn package is used for statistical analysis.
pythonridge-regressionlinear-regressiondata-visualizationdata-analysisdatawranglingpredictive-modelingmachine-learningcorrelationstandardizationdata-extractiondata-explorationencoding-libraryregression-analysislasso-regressionregularizationroot-mean-squared-error-metricparameter-tuningcross-validationk-foldLanguage:Jupyter Notebook 21- Language:Python 11
psnegi / data_science_tools1
course website for data science tools 1
Language:Jupyter Notebook 11SouRitra01 / CCE-IIT-Madras-DSAI
Data Science and Artificial Intelligence advanced certification course led by the IIT Madras & Intellipaat
Language:Jupyter Notebook 10- Language:Jupyter Notebook 9
martandsingh / dataanalytics
Python Data Analytics, Machine Learning & Natural Language Processing
pandaspandas-dataframedataanalyticsdataanalysisandmlusingpythoncodemakerdatawranglingmachine-learningalogrithmsalgorithms-and-data-structuressklearnsklearn-libraryclassification-algorithmnlp-machine-learningnatural-language-processingsentiment-analysisspacybreastcancer-classificationmovie-reviewsloan-prediction-analysiscredit-card-fraudLanguage:Jupyter Notebook 9- quant-fun-v2
PsyTeachR / quant-fun-v2
Fundamentals of Quantitative Analysis
Language:TeX 8 weismanm12 / finances-database
Personal finance database creation, SQL analysis, and Power BI dashboard
Language:Jupyter Notebook 8- Language:Jupyter Notebook 6
- Data-Analyst-Nanodegree
sondosaabed / Data-Analyst-Nanodegree
I aquired a full scholarship from Google Launchpad. Advanced data wrangling skills to work with messy, complex real-world datasets. Highly customized visualizations using the Matplotlib Python library
Language:Jupyter Notebook 6 ShrishtiHore / Quantium_Virtual_Experience_Program
This repository is a collection of all the solutions of tasks that were assigned to me during my Data Analytics Virtual Internship Experience Program at Quantium. 💻📚📊
Language:Jupyter Notebook 5haojing9058 / Comparison-of-Regression-Machine-Learning-Algorithms-of-Explaining-Students-Academic-Performance
Language:Jupyter Notebook 4Oyebamiji-Micheal / ALX-data-analyst-nanodegree-program
All dataset analyzed during ALX data analyst nanodegree program including project files
Language:Jupyter Notebook 4PramodRawat157 / Data-Visualization-with-Python---IBM-Data-Science
Data visualization with Python
Language:Jupyter Notebook 4waveform80 / structa
A small utility for analyzing data structures (e.g. JSON files)
Language:Python 4algorithmwatch / dataskop-scrapers
Scrapers, parsers, data wrangling and utilities for TikTok and YouTube
Language:TypeScript 3- Language:Jupyter Notebook 3
jayantverma2809 / Data-Preprocessing-Projects
It includes full exploratory data analysis (EDA) and preprocessing steps before applying machine learning algorithms. The project uses various datasets and covers data wrangling, exploratory data analysis, data visualization, feature engineering
Language:Jupyter Notebook 3To import data from multiple sources, clean and wrangle data, perform exploratory data analysis (EDA), and create meaningful data visualizations. I will then predict future trends from data by developing linear, multiple, polynomial regression models & pipelines and learn how to evaluate them.
Language:Jupyter Notebook 3raunak274 / greyatom-python-for-data-science
A collection of projects as part of the Python for Data Science program at GreyAtom EduTech Pvt Ltd
Language:Python 3burhanahmed1 / Recipe-Recommendor-using-PySpark
A smart recipe recommendation system that suggests recipes based on ingredient similarities. This project is done in PySpark
Language:Jupyter Notebook 2Didilish / WorldQuant-University-Data-Science-projects
I have successfully completed a 16-week and 8 end-to-end, applied data science projects of the Applied Data Science Lab module at WorldQuant University. The mini-projects included scientific computing, data wrangling, machine learning and natural language processing with Python.
ibtassam1 / Airbnb
Using Python to perform exploratory data analysis on scraped Airbnb dataset. This multi-faceted analysis was selected by University Master program director for the data portal (link in Readme.md).
Language:Jupyter Notebook 2This project is part of the IBM Data Science Professional Certificate course. It aims to identify the best classifier to predict whether the first stage of a Falcon9 rocket will land successfully, helping SpaceX minimize costs.
Language:Jupyter Notebook 2This project aims to predict employee salaries based on their experience. It involves data wrangling, exploratory data analysis, data visualization, and applies linear regression for prediction.
Language:Jupyter Notebook 2This project aims to predict student grades using various independent features. It involves data wrangling, exploratory data analysis, data visualization, and linear regression. The project uses Python and Jupyter notebooks for implementation.
Language:Jupyter Notebook 2SzilvasiPeter / UdacityDataAnalystNanodegree
Udacity Data Analyst Nanodegree
Language:Jupyter Notebook 2AKSHATNAREDI / HR-Data-Analytics
Designed a dashboard to track employee data for the HR team including attendence, working hours and leaves. This dashboard can streamline the HR processes and also can save the HR team 3-4 hours of work daily.
HimanshuRajput013 / Netflix_Movies_and_TV_Shows_Clustering-Recommender-System
The goal of this project is to use Netflix data (7787, 12) to classify and group movies and shows into specific clusters. We will utilize techniques such as K-means clustering, Agglomerative clustering, and content-based recommendation systems to analyze the data and provide personalized suggestions to consumers based on their preferences
Language:Jupyter Notebook 1itsdivya1309 / Olympics-Analysis
This project dives deep into the historical and contemporary data of the Olympics to uncover trends, patterns, and insights.
Language:Jupyter Notebook 1nirmalyabag20 / Amazon-Prime-Video-Dashboard-using-Tableau
I have developed a comprehensive Amazon Prime Video Dashboard, which offers in-depth insights into the platform's content library. This dashboard is designed to help stakeholders understand various aspects of the available shows
weihan07 / Quantium-Data-Analytics-Job-Simulation-Forage-Virtual-Internship
This repository showcases my work in a Data Analytics and Commercial Insights simulation. Tasks include data preparation, customer analytics, and uplift testing using transaction data to generate strategic, data-driven recommendations. Outputs include code, benchmark analysis, and reports aimed at supporting informed business decisions.
yessasvini23 / IBM_Data_Science_-Capstone-Project-Wining-Space-Race.ipnyb
IBM Data Science Capstone Project from Coursera
Language:Jupyter Notebook 1
