correlation-analysis
There are 346 repositories under correlation-analysis topic.
Microsoft-Classifying-Cybersecurity-Incidents-with-ML
A machine learning pipeline for classifying cybersecurity incidents as True Positive(TP), Benign Positive(BP), or False Positive(FP) using the Microsoft GUIDE dataset. Features advanced preprocessing, XGBoost optimization, SMOTE, SHAP analysis, and deployment-ready models. Tools: Python, scikit-learn, XGBoost, LightGBM, SHAP and imbalanced-learn
Data-Analysis-on-Electric-Vehicle
Data Analysis on Electric Vehicle
Data-Analysis-for-Financial-Time-Series
In this notebook, we performed data analysis on financial time series data from Yahoo Finance for the US market. We examined seasonality, trends, stationarity, and other aspects such as outliers and correlations.
Correlation-Trend
Correlation Trend Application This Streamlit-based web application allows users to analyze the correlation trends of the top 10 cryptocurrencies in relation to Bitcoin (BTC) and visualize these trends in a table.
Marketing-Analysis
Uncover Customer Insights and Drive Marketing Strategies with Data
Study-Bitcoin-Gold-Correlation
This repository focuses on studying the correlation between Bitcoin and Gold commodity prices.
sales-marketing-data-analytics-using-python
This project utilizes Python, employing regression and correlation analysis to optimize marketing campaigns. By analyzing sales impact across different hospital account types, it unveils key strategies, culminating in actionable recommendations and a comprehensive ROI table for effective decision-making.
Understanding-Statistical-Techniques
This project demonstrates appropriate use of statistical techniques to analyse data, and extract meaningful insights.
bootstrap_resample_with_replacement
A combination of codes developed for the calculation of the cross-correlation confidence intervals, making use of a pair of light-curves. The code conducts a bootstrap random sampling with replacement method to generate artificial light-curves. The code determines the cross-correlation of the artificial light-curves, and uses them for significance.
tiepy
Solutions to the Transport-of-Intensity Equation (Speckle-Tracking, Paganin Algorithm etc.,)
Excel-Documents-Correlation
Instead of making comparisons between two Excel documents reading line-by-line, this program utilizes data manipulation techniques to make correlations between Excel documents and creates a new Excel document based on these correlations.
stock-market
Codebase: Novel scaling law governing stock price dynamics
House-price-prediction
Predicting house price
Bike_Crash_Analysis
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.
Correlation-Analysis
Analyze different types of correlations between parameters.
Country_data_clustering
Categorization of world countries using socio-economic and health factors
Learn_EDA_for_Data_Science
Univariate, Bivariate and Multi-variate Analysis
CorrelationIndicator
Crypto Asset Correlation in Real Time
ConAction
A package for studying how things change together.
coarse_grain_polyelectrolyte
Influence of charge regulation on conformational ,ionization properties and dynamics of polyelectrolytes
P25.-Supervised-ML---Simple-Linear-Regression---Waist-Circumference-Adipose-Tissue-Data
Supervised-ML---Simple-Linear-Regression---Waist-Circumference-Adipose-Tissue-Data. EDA and data visualization, Correlation Analysis, Model Building, Model Testing, Model Prediction.
Capstone_Source_Attribution_Analysis
Capstone project for Indiana University. This project provides correlation analysis of source attribution errors in memory recall between physical stimulus and stimulus experienced in virtual reality. 2021
Real-Estate-Statistical-Modeling
Predictive analysis, with feature engineering, and machine learning (ML) algorithms, such as linear regression, applied to predict the final sale price of homes in Ames, IA from 2006-2010.
Dev_Hb_mouse
Transcriptomic analysis of the developing mouse habenula
AnomalyDetectionInWaterDistributionNetworks
Source code used to support the Master's thesis "Descriptive and Predictive Modeling of Water Distribution Network Dynamics using Multivariate Time Series Data"
applied_ML
This is a brief summary of my past ML self projects
Data-Mining
Implementation of some famous data mining algorithms in C++11 boost
Correlation-Analysis-between-Consumer-Price-Index-and-Service-Price-Index
This project uses the statistical data of Hebei Province from 2011 to 2017 to analyze the consumer consumption index and the service price index and the consumer price index. Using python3.6 as a development tool, the correlation coefficient is calculated on a monthly basis, and the correlation curve is drawn.
Financial-News-Sentiment-Stock-Market-Correlation-Analysis
Analyze financial news sentiment and its correlation with stock market movements. Use NLP, sentiment analysis, and financial analytics to uncover insights for enhanced financial forecasting and innovative investment strategies.
Recommender-system-for-Games
This project is designed to suggest games to users based on the games they recently played. By leveraging a correlation-based algorithm, the system identifies and recommends games that align with the user's preferences.
stock_price_analysis
Personal project in which I analyse the evolution and correlation of the stock prices of Amazon, Google, Microsoft and Apple.
youtube_analysis
Personal project in which I analyze data from Youtube.
Quants
Financial Quantitative Analysis
Alzheimer-s-disease-Classification-with-Ensemble-Learning-Random-Forest-based-Bagging-Classifier
This project focuses on the classification of Alzheimer's disease using ensemble learning techniques, particularly a Random Forest-based Bagging Classifier.
Estimating-Aggregate-Import-Demand-Function
To test whether the economic theory for imports, real GDP and relative prices holds in real life scenario, this study analyses the extent of association between the variables through regression analysis. The paper can be used to assess the difference in impact of global events on GDP and import volume.