Ecosyste.ms: Repos
An open API service providing repository metadata for many open source software ecosystems.
GitHub topics: trend-analysis
VaishnaviRThakur/Sales-Analytic-and-Detail-Report
The objective of the project was to create innovative and interactive Tableau dashboards that focus sales of countries, year, trade amount and quantity and YOY growth rate,using various charts and features of tableau
Size: 1.48 MB - Last synced: 4 days ago - Pushed: 4 days ago - Stars: 0 - Forks: 0
leeoniya/uPlot
π A small, fast chart for time series, lines, areas, ohlc & bars
Language: JavaScript - Size: 7.82 MB - Last synced: 5 days ago - Pushed: 23 days ago - Stars: 8,512 - Forks: 371
kadambari68/Tweets-Analyser
Classification Report Sentiment Analysis and Trend Analysis
Language: Python - Size: 212 KB - Last synced: 6 days ago - Pushed: 6 days ago - Stars: 0 - Forks: 0
GeorgeFreelanceDeveloper/trend-follow.io
Open source momentum base trend following systematic trading strategies inspired from top trend following traders (Richard Denis, Olivier Seban and Nick Radge) implemented for various trading platforms as TradingView, cTrader, MetaTrader, Multicharts and TradeStation.
Size: 5.18 MB - Last synced: 7 days ago - Pushed: 8 days ago - Stars: 0 - Forks: 0
zhaokg/Rbeast
Bayesian Change-Point Detection and Time Series Decomposition
Language: C - Size: 26.4 MB - Last synced: 11 days ago - Pushed: 11 days ago - Stars: 192 - Forks: 35
nf-core/rangeland
Pipeline for remotely sensed imagery. The pipeline processes satellite imagery alongside auxiliary data in multiple steps to arrive at a set of trend files related to land-cover changes.
Language: Nextflow - Size: 2.47 MB - Last synced: 17 days ago - Pushed: 17 days ago - Stars: 3 - Forks: 2
purrvaja/Trend-Analysis-with-Google-Trends-and-Power-BI
Analyzing trends in the AI landscape over time using Google Trends and visualizing the results using Power BI
Language: Jupyter Notebook - Size: 43.9 KB - Last synced: 22 days ago - Pushed: 22 days ago - Stars: 0 - Forks: 0
bukosabino/ta
Technical Analysis Library using Pandas and Numpy
Language: Jupyter Notebook - Size: 9.31 MB - Last synced: 26 days ago - Pushed: 2 months ago - Stars: 4,048 - Forks: 843
mmhs013/pyMannKendall
A python package for non parametric Mann Kendall family of trend tests.
Language: Python - Size: 726 KB - Last synced: 9 days ago - Pushed: 17 days ago - Stars: 223 - Forks: 61
tr8dr/tseries-patterns
trend / momentum and other patterns in financial timeseries
Language: Jupyter Notebook - Size: 2.25 MB - Last synced: 22 days ago - Pushed: almost 3 years ago - Stars: 203 - Forks: 64
ThatSINEWAVE/System-Health-Dashboard
Proof of Concept script for a dashboard that will ping sites to check if they are still online
Language: Python - Size: 30.3 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 1 - Forks: 0
izikeros/trend_classifier
Library for automated signal segmentation, trend classification and analysis.
Language: Python - Size: 640 KB - Last synced: 6 days ago - Pushed: 2 months ago - Stars: 21 - Forks: 6
thomastrg/PSG_financial_statements
This is a study on the evolution of the PSG's financial statements since 2006.
Language: Jupyter Notebook - Size: 17.1 MB - Last synced: about 1 month ago - Pushed: about 3 years ago - Stars: 3 - Forks: 0
tushar2704/Superstore-Sales-Dashboard-with-Streamlit
Superstore Sales with Streamlit is a data visualization and analysis project that uses the Streamlit framework to create an interactive web application for exploring and analyzing sales data from a superstore. This project aims to provide an easy-to-use interface for users to gain insights into sales trends, Sales performance, product performance,
Size: 3.63 MB - Last synced: 16 days ago - Pushed: 9 months ago - Stars: 2 - Forks: 2
akiomik/nostrends
What's trending on nostr?
Language: TypeScript - Size: 1.1 MB - Last synced: 26 days ago - Pushed: about 2 months ago - Stars: 25 - Forks: 4
Imanp23/DA-Project-Portfolio
Data Analytics Projects using SQL, Python, Power BI, Tableau and more.
Language: Jupyter Notebook - Size: 1.3 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0
Parkkeo1/Reddit_Unlocked
:chart_with_upwards_trend: A Python web app that analyzes popular trends of subreddits with data pulled from Reddit and news articles.
Language: Jupyter Notebook - Size: 9.05 MB - Last synced: about 2 months ago - Pushed: over 6 years ago - Stars: 22 - Forks: 7
Yash22222/Data-Analysis-on-Real-Time-Social-Media-Comments
EngageInsight analyzes user interactions in comment data. It provides insights through visualizations created using Python libraries like Pandas and Matplotlib. The project aims to uncover patterns and trends in user engagement. The visualizations provide an overview of comment lengths, the frequency of different types of replies.
Language: Jupyter Notebook - Size: 10.3 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0
vbhatsaccnt/SoftDrinkTrendsAnalysis
A Tableau dashboard project providing comprehensive insights into soft drink sales trends, allowing for detailed analysis and informed decision-making within the beverage industry.
Size: 8.79 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0
Dascienz/tensorfit
TensorFit is an open source package for curve fitting.
Language: Python - Size: 152 KB - Last synced: 3 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0
everydaycodings/CryptoKon
CryptoKon with its advanced analysis tools, provides a deep understanding of the trends and movements within specific crypto projects, empowering you to make informed investment decisions. Say hello to a streamlined, user-friendly platform that puts the power of crypto analysis
Language: Python - Size: 44.4 MB - Last synced: 26 days ago - Pushed: about 1 year ago - Stars: 11 - Forks: 3
saahen-sriyan-mishra/Power-BI-Projects
Using POWER BI to perform data visualization in different domains to show insights, trends and forecasts by using different datasets like excel, csv and SQL.
Size: 7.18 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 1 - Forks: 0
Saurabh620/Mental_Health_Analysis_Machine-_Learning
Analyzing a dataset to understand mental health factors, this project employs Python tools for preprocessing, exploration, segmentation, trend analysis, and modeling.
Language: Jupyter Notebook - Size: 204 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0
RAVI-CHANDRIKA-05/Whats-Trending-in-the-Food-Beverage-Industry
"Conducting a comprehensive evaluation of the North American food and beverage industry, analyzing market trends, emerging flavors, and consumer preferences to provide a holistic understanding of the regional F&B landscape."
Size: 4.94 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0
DalyaLami/City_School_District_Analysis
Analyzing the district wide standardized test results data by aggregate it to showcase obvious trends in school performance.
Language: Jupyter Notebook - Size: 859 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0
jolly-io/Azure_Reviews_A_Latent_Dirichlet_Allocation_Approach
Background and Objective: My objective is to leverage the Latent Dirichlet Allocation (LDA), an NLP Topic Modeling technique to analyze the textual data aggregated from a particualr high impact reviews platform, capterra.com to uncover key trends and insights from the product users' perspective.
Language: Jupyter Notebook - Size: 771 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0
arblade/BlueAlert
To analyse and monitor trends on twitter, this allows to get relevant content : media, articles, tweets and statistics (bag of words, duration of the trend).
Language: JavaScript - Size: 1.97 MB - Last synced: 2 months ago - Pushed: about 3 years ago - Stars: 1 - Forks: 0
falseywinchnet/PyITD
Intrinsic Time-Scale Decomposition
Language: Jupyter Notebook - Size: 195 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 6 - Forks: 3
dannyskillzz/Spotify2023
This project provides an analysis carried out on 953 tracks on Spotify to determine the most streamed songs, artistes with the highest streams, top tracks in playlists, and other relevant metrics.
Size: 3.18 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0
claudia13062013/Analysis_Shopping_Trends
This project includes data analysis of shopping trends and customer's behaviour using descriptive and inferential analysis.
Language: Jupyter Notebook - Size: 9.66 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0
vijayasaravana/Customer_Sales_Analysis_dashboard
Power BI
Size: 2.83 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 1 - Forks: 0
VikramBansall/Bitcoin-Trading-Volume-Forecasting
Uncover hidden patterns and relationships within Bitcoin trading volume using rigorous time series techniques. Develop a robust forecasting model capable of accurately predicting future volume levels.
Language: Jupyter Notebook - Size: 16.3 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0
burcuicen/bubble-radar-web-app
Bubble Radar simplifies keyword research on Redbubble for sellers to boost product visibility and sales. Search, format, and save popular keywords easily with this web app designed exclusively for Redbubble sellers.
Language: Vue - Size: 1.35 MB - Last synced: 4 months ago - Pushed: 5 months ago - Stars: 2 - Forks: 0
DonteRW/Global-Soil-Moisture-Analysis
Global Volumetric Soil Moisture Analysis
Language: Jupyter Notebook - Size: 1.05 MB - Last synced: 4 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0
sambayon/Spotifantha
Data visualization and analysis of Spotify top songs
Language: Jupyter Notebook - Size: 0 Bytes - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0
jomazi/euro2020
UEFA EURO 2020 Twitter Dataset
Language: Python - Size: 9.07 MB - Last synced: 6 months ago - Pushed: about 2 years ago - Stars: 1 - Forks: 0
muthuvenki/Trend-Analysis
This project analyses the sentiment level of any product and plots the total percentage of tweets which were liked and hated,along with various levels between them using social media data
Language: CSS - Size: 893 KB - Last synced: 6 months ago - Pushed: over 6 years ago - Stars: 2 - Forks: 0
SumanKOLKATA/TATA-Motors-Closing-Price-Forecasting-with-ARIMA-SARIMA-SARIMAX
π¨βπ»π¨βπ» Forecasting 30 day's closing price trend or possible movement in Tata Motors. Trend identification provide information for future stock price movement, which helps for investment in short term preiod.
Language: Jupyter Notebook - Size: 2.04 MB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 1 - Forks: 0
SumanKOLKATA/Advance-Dashboard-EXCEL-
π¨βπ»π¨βπ» Critical insights findings and prepare presentable visualization for understanding. Trend analysis is a technique used to examine and past movements of an item based on current and historical data.
Size: 30.2 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 2 - Forks: 0
westzeroo/trend_thesis_OARA
first thesis
Language: SAS - Size: 10.7 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 1 - Forks: 0
magdziarek/TrendEngine
Detect trends and changes in vegetation using remote sensing time series data.
Language: Python - Size: 2.16 MB - Last synced: 4 months ago - Pushed: over 2 years ago - Stars: 8 - Forks: 3
ronygolderku/so_sst
This notebook was made for the EG-ABI Data visualisation competition:
Language: Jupyter Notebook - Size: 11.4 MB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0
abhishek1377/Respiratory-Health-Recommendation-System
Respiratory Health Recommendation System based on Air Quality Index Forecasts
Language: Jupyter Notebook - Size: 12.4 MB - Last synced: 6 months ago - Pushed: over 2 years ago - Stars: 1 - Forks: 1
OBA0700/MeriSKILL_Internship_Project
Sales Analysis/HR Analytics
Size: 365 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0
kareemjeiroudi/trendmaker-docs
Landing page as well as terms of service for TrendMaker
Size: 14.6 KB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 1 - Forks: 0
farrellwahyudi/Investigate-Hotel-Business-using-Data-Visualization
This project delves into Indonesia's dynamic hospitality industry, uncovering seasonal booking trends, the impact of stay duration on cancellations, and how lead time affects cancellation rates. Valuable insights guide hotels to optimize pricing, policies, and customer engagement, enhancing competitiveness in the Indonesian hospitality sector.
Language: Jupyter Notebook - Size: 896 KB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0
mahmudie/COVID19
Trend Analysis of the COVID-19 using Python in Kaggle
Language: Jupyter Notebook - Size: 23.1 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 1 - Forks: 0
guzmanlopez/SST-MannKendallTrendAnalysis
Perform a Mann-Kendall Trend Analysis on Sea Surface Temperature (SST) time series data
Language: R - Size: 7.27 MB - Last synced: 7 months ago - Pushed: over 6 years ago - Stars: 1 - Forks: 6
ShinKyuY/TrendAnalysis
How to draw a Trend line
Language: Jupyter Notebook - Size: 53.7 KB - Last synced: 7 months ago - Pushed: about 5 years ago - Stars: 5 - Forks: 0
mdteheran/Dermatomycosis_visits_done_over_10_years_in_Colombia.
his study analyzed 10-year dermatomycosis visit frequency and associated sociodemographic features to assess disease pattern and trend.
Language: R - Size: 2.93 KB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0
liorleiba/YouTube-Trendiness-Dashboard
A Tableau dashboard that monitors historical data of YouTube videos "trendiness" throughout time. The link for the online dashboard is attached below.
Size: 2.87 MB - Last synced: about 2 months ago - Pushed: about 1 year ago - Stars: 2 - Forks: 0
Emmanuel-Bamidele/Language-Processing
In this repository, I demonstrate my ability to obtain data from websites - including Google, Amazon and Twitter, -, analyze the data, carry out sentiment analysis or trend analysis
Language: HTML - Size: 8.19 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0
nsb700/time-series-forecasting
Time Series Forecasting
Language: Jupyter Notebook - Size: 447 KB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0
debargha002/ABC_Call_Volume_Trend_analysis
Customer Experience Analysis
Size: 432 KB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0
Enselic/git-repo-language-trends
Analyze programming language usage over time in a git repository and produce a graphical or textual representation of the result.
Language: Python - Size: 271 KB - Last synced: 19 days ago - Pushed: over 2 years ago - Stars: 2 - Forks: 0
SyncfusionExamples/creating-a-Trend-Line-to-a-Chart-for-the-Rapid-Heating-of-North-American-Waters
This sample demonstrates how to create a Trend Line to a Chart for the Rapid Heating of North American Waters during Hurricane Season.
Language: C# - Size: 29.3 KB - Last synced: about 1 month ago - Pushed: 3 months ago - Stars: 0 - Forks: 0
ManojKumarMaruthi/Time-Series-Forecasting
Forecasting Monthly Sales of French Champagne - Perrin Freres
Language: Jupyter Notebook - Size: 1.57 MB - Last synced: 7 months ago - Pushed: almost 5 years ago - Stars: 22 - Forks: 9
Sreetama2001/FlipTrends
Extracting twitter trends , an innovative way for ecommerce websites to match upto the ongoing trends in Twitter
Language: JavaScript - Size: 7.36 MB - Last synced: 9 months ago - Pushed: over 1 year ago - Stars: 1 - Forks: 2
KwokHing/Rfacebook-Demo
Demo on using the Rfacebook package to scrape/mine user generated contents (UGCs) from public FB pages. Simple sentiment, text, trend and posting frequency analysis are performed on these scraped UGCs
Language: R - Size: 2.35 MB - Last synced: 9 months ago - Pushed: over 3 years ago - Stars: 2 - Forks: 1
ocseckin/sicss_vaccine_project
The aim of this work is to understand how frequency and sentiment of Covid-19 vaccines' nomenclatures changed over time.
Language: Jupyter Notebook - Size: 4.86 MB - Last synced: 9 months ago - Pushed: almost 3 years ago - Stars: 3 - Forks: 0
JGCRI/GCAManalysis
Analysis tools and algorithms for GCAM data
Language: R - Size: 25.4 KB - Last synced: 10 months ago - Pushed: about 6 years ago - Stars: 1 - Forks: 0
ttariqaziz/statistical_modeling_matlab
Highlights of my research work in MATLAB, statistical modeling of the unstructured raw data from GPS satellites for several years. Data modeling and processing, followed by different residual plots including trends and root mean square. In the end, the result was compared with independent data set models for validation purposes. The results were also presented at a European conference.
Size: 10.8 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 1 - Forks: 0
sharath/lambo
ποΈ CMC Data Collection Dashboard and Visualizer
Language: Go - Size: 14.8 MB - Last synced: 10 months ago - Pushed: almost 6 years ago - Stars: 2 - Forks: 0
proudjiao/Data-Res-Aview Fork of samwong21/Data-Res-Aview
Web Dashboard for Youtube Channel & Video Trend Analysis
Language: Jupyter Notebook - Size: 6.88 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 1 - Forks: 0
lmueller27/daily-weather-history
Is today / this week / this month hotter than usual? Next.js app visualizing weather trends for any geolocation over the past 80 years.
Language: TypeScript - Size: 1.81 MB - Last synced: 4 months ago - Pushed: 10 months ago - Stars: 1 - Forks: 0
Bhavya1015/Ecommerce_EDA
Order Trend Analysis was done over month, year and days , Shipping cost analysis , Sales analysis , Region-wise Customer Segmentation
Language: Jupyter Notebook - Size: 2.78 MB - Last synced: 10 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0
giancarllotorres/MusiScraper
Have you ever wondered what's actually going on at a specific country music scene? You can now engage with this dashboard to get to know, understand and hear what people from a specific country is actually listening to. From trackΒ length, bpm, key, to its popularity!
Language: Jupyter Notebook - Size: 9.77 KB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0
lordChipotle/HaveYouHeard-BackendDev
This is a repository for the backend I've built during my Software Engineer internship at HaveYouHeard (Pty)Ltd.
Language: JavaScript - Size: 12.2 MB - Last synced: 11 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0
AuroraLiu3230/Natural-Gas-Price-Analysis-and-Extrapolation
This project aims to analyze monthly natural gas price data and provide estimates for the purchase price of gas at any given date in the past or extrapolate it for one year into the future.
Language: Python - Size: 2.93 KB - Last synced: 12 months ago - Pushed: 12 months ago - Stars: 0 - Forks: 0
bahramkhanlarov/Currency-Exchange-Rate-Scraper
This repository contains a Python script for scraping historical exchange rates of Euro to Swiss Franc (CHF) from the xe.com website using the Pandas library. The script retrieves the exchange rate data from the website and outputs it into a CSV file for further analysis.
Language: Jupyter Notebook - Size: 918 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 1 - Forks: 1
aemendes/forecasting_bitcoin_trend_using_twitter_sentiment
Forecasting Bitcoin Trend Using Sentiment Extraction From Twitter
Language: Jupyter Notebook - Size: 13.3 MB - Last synced: 4 months ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0
Geneille/MavernMarketSales
An interactive dashboard, created using Microsoft PowerBI, highlighting sales of a grocery chain
Size: 2.7 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0
liorleiba/Ice-Sales-Campaign-Analysis
The project is analyzing Ice Games sales throughout their lifetime in order to plan the next marketing campaign, as well as spotting and profiling potentially top-selling games.
Language: Jupyter Notebook - Size: 6.25 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0
thomasjjj/tg-keyword-trends
This script searches messages containing specified search terms in Telegram channels the user is a member of.
Language: Python - Size: 101 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 2 - Forks: 0
jomazi/twitter-long-term-trends
Detection and Analysis of Long-term Twitter Trends
Language: Python - Size: 53.7 KB - Last synced: 6 months ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0
fathima-rizwana/XYZ_Ads_Airing_Analysis
Examined a dataset containing various TV advertising brands, their products, and categories and utilized the insights gained from the analysis to formulate cost-effective marketing strategies.
Language: Jupyter Notebook - Size: 608 KB - Last synced: 11 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0
kappaseijin/nostrends Fork of akiomik/nostrends
What's trending on nostr?
Size: 435 KB - Last synced: 4 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0
MoinDalvs/Forecasting_Airline_Passengers_Traffic
Forecast the Airlines Passengers. Prepare a document for each model explaining how many dummy variables you have created and RMSE value for each model. Finally which model you will use for Forecasting.
Language: Jupyter Notebook - Size: 11.9 MB - Last synced: 4 months ago - Pushed: over 1 year ago - Stars: 7 - Forks: 1
semihdesticioglu/SalesForecasting
Sales Forecasting with Time Series Analysis by using ARIMA and SARIMAX.
Language: Jupyter Notebook - Size: 1.97 MB - Last synced: 4 months ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0
giangnguyen2412/TrendAnalysis-and-IssueTracking-in-NLP
Trend Analysis and Issue Tracking in NLP
Language: Python - Size: 135 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 2 - Forks: 0
oddlyspaced/spotify-trend-analysis
Python notebook to analyse genre trends in spotify playlist.
Language: Jupyter Notebook - Size: 832 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0
mapme-initiative/mapme.vegetation
Language: R - Size: 3.29 MB - Last synced: 4 months ago - Pushed: over 1 year ago - Stars: 2 - Forks: 2
quasilevel/ccsu-opendata-view
A convenient web view for the CCSU Opendata corpus
Language: JavaScript - Size: 136 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 6
ZeroDarkHardy/CASE-STUDY-Smart-Device-Fitness-Data
Data Analytics case study of FitBit Tracker user data using Python, PostgreSQL and R.
Language: Jupyter Notebook - Size: 57.7 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0
mohabmes/pystocklib
Python library to Fetch & Analyze Stock Market data.
Language: Python - Size: 168 KB - Last synced: about 1 year ago - Pushed: almost 6 years ago - Stars: 23 - Forks: 7
lorenzilipe/Cars_Web_Scraping
Web scraping a few pages of Cars.com every day, keeping track of price trends.
Language: Jupyter Notebook - Size: 403 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0
technometrics-lab/1-Security_Dynamics
Repository of project #1: Security Dynamics
Language: Python - Size: 228 MB - Last synced: 12 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0
WenJyeChai/SolutionDistrict
SolutionDistrict is a groundbreaking search engine that provide comprehensive trend analysis on academic research topic using academic-verified index.
Language: HTML - Size: 43.3 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0
aarushi-vermaa/causal_inference_denver_star_program Fork of MIDS-at-Duke/uds-2022-701-team-5
uds-2022-701-team-5 created by GitHub Classroom
Size: 67.8 MB - Last synced: 2 months ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0
apurvsinghgautam/Crawl_Analyze_Top1_Million
A research project to crawl and analyze Top 1 million domains
Language: Python - Size: 29 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 8 - Forks: 5
readikus/ramekin
An open source, real time trend detection library
Language: JavaScript - Size: 45.9 KB - Last synced: about 1 month ago - Pushed: over 4 years ago - Stars: 9 - Forks: 0
NicolasVaillant/moodTracker
Traquer son humeur quotidienne, obtenir des tendances en fonction des filtres sΓ©lectionnΓ©s
Language: SCSS - Size: 1.32 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0
shumph10/PyBer_Analysis
Analysis of PyBer ride sharing data for multiple city types (rural, suburban, and urban) was done to determine relationships between location, cost, number of drivers, and amount of rides.
Language: Jupyter Notebook - Size: 1.32 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0
shumph10/bikesharing
In depth analysis of a company's bikesharing data from summer in New York City was done in attempt to understand trends in rides and demographics.
Language: Jupyter Notebook - Size: 22.5 KB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0
DaudAhmad0303/COVID-19-Trend-Analysis
Data Analysis of COVID-19 Dataset to explore the trends in Data for all countries and Worldwide
Language: Jupyter Notebook - Size: 3.62 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0
au558796/Crypto_Trends
A trend analysis for cyptocurrencies and S&P500 data (see also Social_Cultural_Dynamics)
Size: 2.93 KB - Last synced: about 1 year ago - Pushed: about 6 years ago - Stars: 0 - Forks: 0
raghav1810/Music-analysis-and-Year-prediction
Trend analysis of pop music and prediction of release year.
Language: Jupyter Notebook - Size: 2.66 MB - Last synced: about 1 year ago - Pushed: about 5 years ago - Stars: 2 - Forks: 2
Analitico-771/forecasting_mercado_libre
This is an application that can be used to analyze company's financial and user data in clever ways to identify areas to improve and help the company grow. So, you want to find out if the ability to predict search traffic can translate into the ability to successfully trade the stock
Language: Jupyter Notebook - Size: 14.5 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0
EpistasisLab/ebic Fork of athril/ebic
EBIC - AI-based parallel biclustering algorithm
Language: C++ - Size: 953 KB - Last synced: 2 months ago - Pushed: over 5 years ago - Stars: 19 - Forks: 4
EmSchoof/UNICEF_CATS
Premise of Task: Contextual Alert and Trend System (CATS) is a proof of concept (POC) for an automated system for near real-time media monitoring via GDELT to identify trends and anomalies in the volume of online reports about pre-defined indicator events, at country level. This repository reflects the methodologies used to complete this task.
Language: Jupyter Notebook - Size: 16 MB - Last synced: over 1 year ago - Pushed: almost 3 years ago - Stars: 3 - Forks: 1