GitHub topics: explo

Repositories

priyanshubiswas-tech/Customer-churn-analysis-EDA-

This project analyzes customer churn in a telecom company using Python, Pandas, SQL, and data visualization. It identifies key factors like contract type, payment method, and tenure to provide insights for improving retention. The skills gained are applicable in customer retention, user behavior analysis, fraud detection, and HR analytics.

Language: Jupyter Notebook - Size: 772 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

justacoderq/Analyzing-Formula-1-Race-Data

Formula 1 Race Analysis

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SalunkheAbhijit18/PRODIGY_DS_01

Task 1 of the Prodigy infotech Data science internship

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Abiramashree/Customer-Churn-Analysis

Formulate the business problem and think systematically to complete 1) EDA to test the price sensitivity hypothesis 2) Feature Engineering to make relevant features 3) Predictive Model to give findings and recommendations

Language: Jupyter Notebook - Size: 13.4 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

akvalv/IPL-AuctionPrice-Analysis

Predicting IPL Cricket Players' Auction Price and analysing if they are over / under priced.

Language: Python - Size: 972 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

shikhararyan/Heart-attack-risk-Prediction-Model---Random-Forest

This notebook explores and analyzes the Heart Disease UCI dataset using Python libraries such as NumPy, Pandas, Matplotlib, Seaborn, and scikit-learn. It includes data visualization, feature engineering, model building using Random Forest Classifier, and evaluation of the model's performance in predicting the presence or absence of heart disease.

Language: Jupyter Notebook - Size: 723 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

jeelkumarpatel/Exploratory-Data-Analysis

This project showcases my work as a Data Analyst performing Exploratory Data Analysis (EDA) on datasets from three fictional companies.The primary objective of these projects was to prepare the data for subsequent modeling efforts by conducting comprehensive EDA.

Language: Jupyter Notebook - Size: 3.8 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

BodaKalyanSingh/Flight_Prediction_project

Implemented a flight prediction system using two algorithms, Linear Regression and Decision Trees, to forecast flight prices accurately. The project involved preprocessing and analyzing flight data to extract relevant features such as departure time, destination, and airline. Utilized the Linear Regression algorithm

Language: Jupyter Notebook - Size: 3.91 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

damaniayesh/Insurance_Regression_Prediction

The project provides a Regression on the Insurance Prediction Data which shows the features of individuals, tuned using Ridge & Lasso.

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sid966/Exploratory_Data_Analysis_on_House_Prices_Dataset

This Project is about performing EDA on house prices dataset.

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yhujhin/Property-Investment-Decision

This project is a hands-on exploration of multiple regression modeling techniques applied to real-world challenges in the context of real estate. It aims to understand how different features influence house or property prices. By utilizing multiple regression models, the project provides insights, decision support, and enhances data science skills.

Language: Jupyter Notebook - Size: 21 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Phani2019/Supply-chain-Data-Analysis

clustering of the shipping data of a supply chain based company

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hendurhance/gui-apps

A codebase for two data analysis projects, both developed using Python. The first project is a GUI application for managing student performance, using Tkinter and csv for input storage and analysis. The second project is a web scraping tool for analyzing movie data from IMDB, using bs4 and pandas for data processing and matplotlib for visualization

Language: Python - Size: 68.4 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0