Topic: data-cleaning-and-preprocessing Goto Github
Some thing interesting about data-cleaning-and-preprocessing
Some thing interesting about data-cleaning-and-preprocessing
data-cleaning-and-preprocessing,Designed and implemented machine learning and deep learning models to diagnose gearbox faults. Preprocessed sensor data, engineered features, and trained models using techniques like SVM, random forests, LSTM and naive bias. Evaluated model performance and optimized hyperparameters to achieve high diagnostic accuracy.
User: akashborse3
data-cleaning-and-preprocessing,
User: amanjot-git
data-cleaning-and-preprocessing,About This project is an EDA endeavor that delves into the world of Google Play Store data. This project uncovers valuable trends, patterns, and statistics within the Play Store ecosystem. From app categories and user reviews to pricing and app sizes, the project offers a comprehensive analysis of this dynamic and ever-expanding marketplace.
User: aniket15031998
data-cleaning-and-preprocessing,This project delves into comprehensive insights extracted from the Stack Overflow Developer Survey 2022. The dataset provides a rich source of information about developers' demographics, coding experience, compensation, and various aspects of their professional lives.
User: arbaazkhaan
data-cleaning-and-preprocessing,Welcome to the FIFA Dataset Data Cleaning and Transformation project! This initiative focuses on refining and enhancing the FIFA dataset to ensure it is well-prepared for in-depth analysis. The project involves a comprehensive data cleaning process and transformation of key features to improve data quality and usability.
User: arbaazkhaan
data-cleaning-and-preprocessing,Explore my solo Customer Segmentation Project, diving into data analysis, clustering, and visualization. Uncover distinct customer segments for tailored marketing strategies and enhanced engagement. Discover the power of data-driven insights in this independent project.
User: arnyroid
data-cleaning-and-preprocessing,This repository contains the data analysis of the sales for an electronic store for the year 2019. The analysis is performed using Python programming language and various data analysis libraries
User: awais345
data-cleaning-and-preprocessing,This is my BrainStation capstone project on music genre classification. I use supervised and unsupervised learning to classify songs into genre based on specific attributes from two Spotify datasets..
User: bartek410
data-cleaning-and-preprocessing,This is a Dataquest project that focuses on creating an efficient workflow
User: benazir023
data-cleaning-and-preprocessing,This is a Capstone Project which provides an in-depth analysis of the Shakila DVD Rental Store, utilizing Excel, SQL, and Power BI to deliver actionable insights and dynamic dashboard visualization for enhancing business operations and customer experiences in the movie rental industry.
User: da-atharv
data-cleaning-and-preprocessing,A repository where I keep all of my data cleaning samples/portfolio items.
User: dablewcodes
data-cleaning-and-preprocessing,EDA and Prediction of F1 Race WInners
User: dhvani-k
data-cleaning-and-preprocessing,Explore NYC Green Taxi data, predicting fares and optimizing pickup locations using machine learning. Regression models uncover travel patterns and enhance taxi services for an efficient urban transport experience.
User: doshiharmish
data-cleaning-and-preprocessing,This repository is a compilation of my academic and personal projects accomplished using Python. The most common libraries used in these projects include NumPy, Pandas, Scipy, and Matplotlib. Also contained in this repository are the certificates I gained by upskilling in pursuit of my passion and eagerness for Data Science.
User: eoinmark
data-cleaning-and-preprocessing,Analyze order data to identify the most and least popular menu items and types of cuisine
User: epmanu185
data-cleaning-and-preprocessing,Power Outage Data Analysis in USA
User: ericsun153
Home Page: https://ericsun153.github.io/Illuminating_US_Outage_Landscape/
data-cleaning-and-preprocessing,Join our mission to enhance aviation safety by diving into a century's worth of aerial accidents. As the data analyst for the International Civil Aviation Organization (ICAO), I've meticulously examined data, conducted extensive analyses, and developed an interactive Tableau Dashboard to provide insightful visualizations.
User: grisales1803
data-cleaning-and-preprocessing,Developed Interactive visualizations and a Shiny Dashboard using using R from a complicated and in-complete time-series dataset.
User: hari255
data-cleaning-and-preprocessing,All the assignments of NLP course
User: harjeet-blue
data-cleaning-and-preprocessing,This is our Machine Learning course project. Predict the user based on its cursor movements.
User: harjeet-blue
data-cleaning-and-preprocessing,Project aims to forecast potato prices in India using LSTM, KNN, and Random Forest Regression, integrating historical data on prices, regional stats, and rainfall patterns. Targeting agricultural stakeholders for informed decision-making.
User: harshita2234
data-cleaning-and-preprocessing,This project analyzes the 2022 T20 World Cup data to determine the top 11 players based on their performance. I used ParseHub to collect data from the ESPNcricinfo website, then cleaned and transformed it with NumPy and pandas, Python libraries, and created dashboards in Power BI.
User: krisanth-21
data-cleaning-and-preprocessing,A comprehensive dimensional model for COVID data, enabling insights for future vaccination campaigns through robust visual analytics.
User: mereshd
data-cleaning-and-preprocessing,Data Analysis of potential factors affecting water pipe breakage
User: morikaglobal
data-cleaning-and-preprocessing,Comprehensive object detection using YOLOv5, trained from scratch. Includes data preparation, YOLOv5 training on 20 labels, and testing on images/videos. Utilizes Google Colab's V100 GPU for robust detection.
User: mouraffa
data-cleaning-and-preprocessing,Projects and case studies from my time studying Data Science with USF
User: msnellgrove
data-cleaning-and-preprocessing,Data analytics projects done at trainity throughout my 8week training
User: mythrie
Home Page: https://trainity.link/
data-cleaning-and-preprocessing,This project is an EDA endeavor that delves into the world of Google Play Store data. This project uncovers valuable trends, patterns, and statistics within the Play Store ecosystem. From app categories and user reviews to pricing and app sizes, the project offers a comprehensive analysis of this dynamic and ever-expanding marketplace.
User: nikhilbordekar
data-cleaning-and-preprocessing,Data cleansing and handling missing data for a survey conducted by Stack Overflow
User: pedramsafaeifar
data-cleaning-and-preprocessing,Welcome to my data science repository! Here you will find a collection of resources and examples for exploring, analyzing, and manipulating data using Python. The repository includes code templates, case studies, and exercises to help you learn and practice data science concepts and techniques. The topics covered include data exploration, data visu
User: pratiikpy
data-cleaning-and-preprocessing,A project analyzing the Indian startup ecosystem between 2018 and 2021.
User: rama-mwenda
data-cleaning-and-preprocessing,A Python library and its cli for converting grabcraft to schema (more specifically litematica schematic) files
User: randomgamingdev
data-cleaning-and-preprocessing,The objective of this project is to analyze the customers of a bank, categorize them with K-Means and Hierarchical Clustering and evaluate their distinct characteristics
User: s-chan11
data-cleaning-and-preprocessing,Leveraging advanced data cleaning techniques and feature engineering, a robust food delivery prediction model was developed using regression algorithms.
User: salonijhalani
Home Page: https://food-delivery-time-prediction.streamlit.app
data-cleaning-and-preprocessing,This project analyzes HR data using Tableau to uncover insights that optimize Human Resource operations. By visualizing key metrics such as staffing, salary distribution, gender balance, and performance trends, the dashboard supports data-driven decisions in areas like employee retention, salary management, and workforce diversity.
User: sanasayyed2001
data-cleaning-and-preprocessing,Successfully established a supervised machine learning model that can accurately predict whether the travel insurance claim of a particular customer should be approved or not by a travel insurance agency.
User: sayamalt
data-cleaning-and-preprocessing,The main objective of the Zometo Data Analysis project was to explore and analyze the Zometo dataset to gain meaningful insights into user behavior, product performance, and other relevant factors. By leveraging data analytics techniques, we aimed to uncover patterns, trends, and correlations with the data, ultimately providing valuable information
User: shashakjoshi
data-cleaning-and-preprocessing,The coffee restaurant will test a new menu in Denver and Chicago using TV ads to see if it boosts profits by at least 18%, justifying the marketing costs, and needs an analysis to decide on a wider rollout.
User: shrishtihore
data-cleaning-and-preprocessing,Explore Shark Tank investments with SQL. Uncover insights, success rates, and industry preferences.
User: shwetaagrey
data-cleaning-and-preprocessing,Data cleaning , analysis and visualization of 4 different sector's data
User: shwethapoojary-20
data-cleaning-and-preprocessing,Restaurant based analysis based on location.
User: sinderpreet31
data-cleaning-and-preprocessing,E-commerce use case: This project conducts a comprehensive data cleaning exercise on the eCommerce data.
User: sumitdeole
data-cleaning-and-preprocessing,
User: syedzeerakzia
data-cleaning-and-preprocessing,
User: tharunracharla
data-cleaning-and-preprocessing, "Predicting a Greener Future πΎπ Delve into the world of agriculture and data science with our Yield Prediction project. We harness machine learning and weather data to forecast crop yields accurately. Join us in cultivating smarter farming practices for a sustainable tomorrow."
User: vidhi1290
data-cleaning-and-preprocessing, In this project, a real-world dataset from Zomato, one of the most widely used food ordering platforms, was worked on.
User: vivekagrawl
data-cleaning-and-preprocessing,This project involves analyzing real-world medical appointment data through Time Series Analysis. The tasks include dataset cleaning, comprehensive analysis, and extracting insights using Python and MySQL.
User: vivekagrawl
data-cleaning-and-preprocessing,Complete Tutorial for all basic concepts to use Pandas at beginner level.
User: waqarbatalvi
data-cleaning-and-preprocessing,Airbnb price prediction with machine learning models using Amsterdam dataset.
User: zainab-rizwan
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Open source projects and samples from Microsoft.
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