1,199 skills found · Page 4 of 40
Okes2024 / Predicting Depression From Social Media ActivityThis project uses synthetic social media data to model and predict depression risk through machine learning. It combines behavioral patterns and text-based features, trains classification models, and evaluates performance with metrics and visualizations. Intended for research, learning, and experimentation, not clinical application.
aj112358 / Finance Analysis PowerBIThis is a project that utilizes Microsoft PowerBI to analyze personal financial data and visualize expenses through an interactive dashboard.
philippe-heitzmann / WSJ WebScraping NLPPython data Manipulation, visualizations and Natural Language Processing analysis for Wall Street Journal web scraping project #2 for NYC Data Science Academy bootcamp
apache / Kibble 1Apache Kibble - a tool to collect, aggregate and visualize data about any software project
reddyprasade / Machine Learning With Scikit Learn Python 3.xIn general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised learning, in which the data comes with additional attributes that we want to predict (Click here to go to the scikit-learn supervised learning page).This problem can be either: classification: samples belong to two or more classes and we want to learn from already labeled data how to predict the class of unlabeled data. An example of a classification problem would be handwritten digit recognition, in which the aim is to assign each input vector to one of a finite number of discrete categories. Another way to think of classification is as a discrete (as opposed to continuous) form of supervised learning where one has a limited number of categories and for each of the n samples provided, one is to try to label them with the correct category or class. regression: if the desired output consists of one or more continuous variables, then the task is called regression. An example of a regression problem would be the prediction of the length of a salmon as a function of its age and weight. unsupervised learning, in which the training data consists of a set of input vectors x without any corresponding target values. The goal in such problems may be to discover groups of similar examples within the data, where it is called clustering, or to determine the distribution of data within the input space, known as density estimation, or to project the data from a high-dimensional space down to two or three dimensions for the purpose of visualization (Click here to go to the Scikit-Learn unsupervised learning page).
loddit / Railwaya railway data visualization project.
DavieObi / Mental Health Survey AnalysisAnalyzing mental health survey data to uncover prevalence, challenges, and influencing factors. Using visualizations & hierarchical clustering, the project identifies distinct patterns for actionable insights and recommendations, aiding effective mental health interventions, policies, & awareness.
Okes2024 / Analyzing Behavioral Patterns In ADHD PatientsThis project generates synthetic ADHD and control patient data, applying machine learning and statistical analysis to uncover behavioral patterns, visualize differences, and evaluate predictive models for cognitive and activity-related traits.
deanhiller / Databustime series data in cassandra with visualization(NREL's opensource databus project)
Okes2024 / Sentiment Shift In Therapy Conversations Over TimeThis project analyzes emotional dynamics in therapy by modeling sentiment shifts across sessions using synthetic conversations. It detects trends, slopes, and change-points, providing insights into patient–therapist interactions and potential therapeutic progress over time through data-driven analysis and visualizations.
Okes2024 / Machine Learning To Predict Suicide RiskThis project applies machine learning to predict suicide risk using synthetic psychological, demographic, and behavioral data. It demonstrates risk classification with Logistic Regression and Random Forest, evaluates performance metrics, and visualizes insights, highlighting the potential of AI in mental health research and awareness.
mrankitgupta / Spotify Data Analysis Using PythonAn exploratory data analysis (EDA) and data visualization project using data from Spotify using Python.
weltond / LearnBasicBigDataTech:rocket:Some projects on Big Data Analysis like Spark, Hive, Presto and Data Visualization like Superset
praveen6235 / Statistical Analysis And Visualization Of Adidas US Retail DataThe project enforces data cleaning and visualization techniques, using python libraries such as Pandas, Matplotlib, Seaborn and numpy, to provide meaningful insight into an employee attraction in a visually attractive format
Dogiye12 / Spatial Interpolation Of Rainfall Using Kriging Vs MLThis project compares Kriging and Random Forest machine learning for spatial interpolation of rainfall using synthetic data in Google Earth Engine. It generates >100 random rainfall points, interpolates across a region, and visualizes differences between geostatistical and ML-based predictions.
Okes2024 / VR Data Science For Exposure Therapy Analysisproject leverages synthetic VR session data to analyze patient responses in exposure therapy. Using statistical and visualization techniques, it identifies trends in anxiety reduction, session engagement, and heart rate stabilization to support effective mental health treatment strategies.
laurencleek / Open Food MapAn open-source project for building interactive, data-driven restaurant maps for any city. This repo contains the code of the London Food Map plus a modular pipeline for adding new cities. Contributions welcome: add your favourite city, improve the models, or extend the visualizations.
ControlNet / Wt Data Project.webA visualization web for wt-data-project.
Marticles / Airnet☁Air pollution visualization and forecasting platform based on Spring Cloud(基于Spring Cloud的环境污染物数据分析与预测平台)
teobeeguan / COVID 19 Visualization ProjectYou can find all the source codes for my COVID-19 data visualization project from this repo.
