dataexploration
There are 143 repositories under dataexploration topic.
awesome-panel/panel-chemistry
🧪📈 🐍. The purpose of the panel-chemistry project is to make it really easy for you to do DATA ANALYSIS and build powerful DATA AND VIZ APPLICATIONS within the domain of Chemistry using using Python and HoloViz Panel.
ShrishtiHore/Anomaly-Detection-in-CCTV-Surveillance-Videos
This projects detect Anomalous Behavior through live CCTV camera feed to alert the police or local authority for faster response time. We are using Spatio Temporal AutoEncoder and more importantly three models from Keras ie; Convolutional 3D, Convolutional 2D LSTM and Convolutional 3D Transpose. 👮♂️👮♀️📹🔍🔫⚖
miraytopal/Marketing-Campaign-Machine-Learning
A Predictive Model for Marketing Campaigns
AAndreo/Aquisicao.Clinicas
Projeto visando trazer as principais métricas relacionadas à aquisição de clínicas, realizando uma análise de dados exploratória com essa base, de forma a identificar gargalos e oportunidades para otimizar a entrada de clinicas na Real.
kirtigupta10007/Walmart-Store-Sales-Forecasting
Walmart Store Sales Forecasting
prithvishkr/FIFA-20-Analysis
this is my version of creating a cluster and decision tree on FIFA Dataset
RamEppala/imbalanceddatasetproject
Machine Learning Project on Imbalanced Data in R
Vidhi1290/Robust-yield-prediction-
"Predicting a Greener Future 🌾📊 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."
vijishmadhavan/PARSE-CLIP
A simple CLIP based project for combining images from multiple datasets.
1AyaNabil1/The-Nobel-Prize
This notebook analyzes Nobel Prize data from 1901 to 2016, exploring factors such as gender, nationality, age, and repeat laureates. It examines trends and patterns, revealing insights about the Nobel Prize's evolution over time, including the dominance of the United States and the representation of women in different prize categories.
AAndreo/Analise.Case.Depressao
Análise de Dados sobre índices de Depressão e seus fatores determinantes.
Aditya-Ramachandran/Kaggle-Notebooks
Collection of all my Kaggle Notebooks
alperozoner/ain212-exoplanet-classifier
This is an exoplanet classifier for the final project of the AIN212 data science course. Publicly accessible data from NASA's exoplanet archive was used in the training and testing of this classification model.
Gerrg/sklearn-exploration
It consists of the steps followed in a data science project
RSN601KRI/Electric-Vehicles-Market-Size-Analysis
The Electric Vehicles Market Size Analysis project is a comprehensive study aimed at understanding the current state and potential growth of the Electric Vehicles (EVs) market.
samchak18/Book-Recommendation-System
AlmaBetter Capstone Project - Unsupervised ML. Developed a book recommendation system for Amazon customers using memory and model based collaborative filtering by utilizing the description of book consumed and user interests.
sbavon/Kaggle-NYC-Taxi-Fare-Prediction
My solution for Kaggle NYC Taxi Fare Prediction ( ranked 21st/1463)
timothypesi/Data-Science-Starter
This repository is for newcomers into the data science world. It Summarizes three key areas Data Exploration,Manipulation and Data Cleaning
alv1nZ/Dashboard-data-visualization-with-Tableau-
Cleaned a movies dataset to present specific visuals to answer research questions
Anu0408/Truck_Delays_Classification-End-to-End-Machine_Learning_Application
Modern machine learning project development - This end-to-end project implementation provides the real-time delay updates to logistic companies. It uses MLflow for model tracking and management, Hopsworks Feature Store for storing and managing the dataset, and Streamlit for building an interactive web application to predict truck delays.
Bhuvaneshwar-Reddy/Social_Media_Insights_Using_SQL
Social Media Insights: SQL Exploration of User Interactions - Explore the inner workings of social media with SQL queries. Understand user connections, posts, likes, and comments. Discover how data drives digital interactions. 📊👥
FionaAmuda/Exploratory-Data-Analysis
Using Python to analyze a beauty product dataset. A complete EDA.
JamesLi197412/HR-Analytics
HR Analysis Case Study
JBangtson/financial_institution_survey_clustering
Data analysis project examining a Washington financial institution's survey 📃 of 2,421 members, focusing on their moral values using Jonathan Haidt's Moral Foundations Theory and alignment with corporate values (Localism, Sustainability, and Education). The analysis includes demographic and values-based clustering.
MarcellinusRyan20/SalesForecasting
Engaged in a collaborative effort with a company seeking to implement machine learning for forecasting purposes. Employed Time Series Analysis using data spanning 2019 to 2023, evaluating three distinct models. The model with the optimal error score was selected to project values for 2024.
mido4ds/PortfolioProjects
Data Analysis Projects of Covid19 and Nashville Housing, using SQL, EXCEL, Tablau.
NAVEENDATAANALYST/CUSTOMER-ANALYTICS-ON-USA-BASED-COMPANY-DATA
This is my 6th semester Essentials of Data Analytics project.
NAVEENDATAANALYST/PREDICTING-SURVIVAL-ON-TITANIC-IN-R
This is my own code. The data set is taken from Kaggle competitions. Here is the link: https://www.kaggle.com/competitions/titanic
NAVEENDATAANALYST/SPACESHIP-TITANIC-PASSENGER-TRANSPORT-PREDICTION
The data is available in kaggle competitions. https://www.kaggle.com/competitions/spaceship-titanic I have participated and completed the competition on my own.
rafiqmohammed21/Python_DataExploration
Extensive Coding Challenge on Python for Data Exploration
Sohrab-Khan-Analyst/Python-PortfolioProjects
This repository contains all the Python - Portfolio Project
stubbsdiondra/PortfolioProjects
My portfolio projects demonstrating Python and SQL skills
Taimoormukhtar/Exploring-the-Students-dropout-reasons
This is a data science project in which an algorithm is created to distinguish dropout students from Graduate and Enrolled students. The dataset includes numerous variables that are used to train the data for student categorization. The main phases include data cleaning, exploratory data analysis, and implementing a machine learning algorithm.
Vaibhavgosai/Data-Cleaning-using-Excel
Performing data cleaning using Excel functions to prepare the data for analysis and visualization.