Topic: data-driven-decisions Goto Github
Some thing interesting about data-driven-decisions
Some thing interesting about data-driven-decisions
data-driven-decisions,This academic article explores the factors that influence the success of data initiatives, the importance of data in modern organizations, and the role of data strategy in fostering a data-driven culture.
User: ananyacanakapalli
data-driven-decisions,MPS Analytics Coursework [2020 - 2021]
User: datablazor
data-driven-decisions,Analysis of an online store indicating its KPIs such as Sales, Profit, Total Customers, Orders, Units Sold, etc
User: dishak06
Home Page: https://lookerstudio.google.com/reporting/f5d16da6-0be8-4c38-8692-c92aee552c23
data-driven-decisions,Data-driven Decision Making project to predict location of oil and petroleum refineries in United States
User: doneria-anjali
data-driven-decisions,Scraping LeetCode data, analyzing for insights, crafting a user-friendly dashboard, and building a problem recommender for optimized problem-solving.
User: jaydeepagravat
data-driven-decisions,Describes Bixal's development methodology
User: kimberlyhodges
Home Page: https://kimberlyhodges.github.io/Bixal-Methodology/
data-driven-decisions,The project dives into transaction records of an online retail business to uncover hidden relationships between products. The overall goal is a data-driven approach to enhance the customer shopping experience, improve loyalty, boost profitability, tailor marketing strategies, and optimize inventory management via strategic business decisions.
User: kkrusere
data-driven-decisions,Analyzed customer churn using transaction data. Built ML model to predict lapses. Dataset includes customer status, collection/redemption info, and program tenure. Delivered business presentation outlining modeling approach, findings, and churn reduction strategies.
User: lefteris-souflas
data-driven-decisions,BeNeutral helps people save money and the environment by making their homes energy-efficient. We calculate co2 emitted by a house, advise how to reduce it and encourage to offset the rest by planting trees. The goal is for a household to achieve and maintain carbon-neutrality.
User: mariha
Home Page: https://mariha.github.io/be-neutral/
data-driven-decisions,Airplane Crash Analysis: A comprehensive analysis of airplane crashes and fatalities spanning from 1980 to 2023.
User: matth-adenyo
data-driven-decisions,Python code that predicts which course a student will register for based on their previous registration history.
User: meaghancoconnor
data-driven-decisions,Code for the Journal of Cleaner Production paper: Data-driven Assessment of Room Air Conditioner Efficiency for Saving Energy (https://doi.org/10.1016/j.jclepro.2022.130615).
User: mighty-weaver
data-driven-decisions,Recipe Site Traffic Prediction: Utilising machine learning to forecast high traffic recipes on a recipe website. Improve user engagement and traffic with data-driven decisions.
User: nafisalawalidris
data-driven-decisions,DATA ANALYTICS PORTFOLIO
User: ninaphm
data-driven-decisions,Built a linear regression model to predict house prices in Boston. The final model is generalized and perfectly predicts prices with a 100% r-squared. Significant EDA and feature analysis were done to identify key features and make business recommendations moving forward.
User: nishadkhudabux
data-driven-decisions,Unleashed the power of data science to analyze the performance of golfers from the PGA tour. Built ML models and compared Strokes Gained to traditional metrics, resulting in insightful findings and actionable recommendations for golfers at all levels. Showcased advanced data analysis, decision trees, and visualizations in this comprehensive project
User: nishadkhudabux
data-driven-decisions,Built a classification model to predict clients who are likely to default on their loans. With the challenge of a limited dataset was able to build and tune a Random Forest Model maximized for a recall score of 80%. Significant EDA and feature analysis were done to identify key features and make business recommendations moving forward.
User: nishadkhudabux
data-driven-decisions,A critical problem in EdTech is converting potential customers into paid customers. Performed EDA to identify the key factors driving the lead conversion process and built an ML model (using Decision Trees and Random Forest) that identifies which leads are more likely to convert.
User: nishadkhudabux
data-driven-decisions,Alpha principles for the ethical use of AI and Data Driven Technologies in Ontario | Proposition de principes pour une utilisation éthique des technologies axées sur les données en Ontario
Organization: ongov
data-driven-decisions,Minimize the risks and maximize the benefits of using data-driven technologies within government processes, programs and services through transparency. | Réduire les risques et à maximiser les avantages liés à l’utilisation de technologies axées sur les données, dans le cadre de processus, programmes et services gouvernementaux, grâce à la transparence.
Organization: ongov
data-driven-decisions,Dive into my Data Science Projects Repository, featuring a Spam SMS Classifier, NIA Dashboard, H1N1 Vaccine Prediction, and NYC Taxi Fare Prediction. Each project showcases my skills in data cleaning, exploratory analysis, modeling, and visualization, offering valuable insights and methodologies for data enthusiasts and practitioners.
User: oshinrathor
data-driven-decisions,Visual analysis application for the data collected by a Formula Student car during driving, aiming to evaluate and compare the drivers of the team.
User: paumatas
data-driven-decisions,My repository for the Data-Driven Decision Making Program at I2A2
User: pavincius
data-driven-decisions,Program Description and Certificates for the MicroMasters Program in Business Analytics
User: rahulthairani
data-driven-decisions,Rakshayani Thyagu's Portfolio
User: rakshayani
data-driven-decisions,
User: ramyaramachandra
data-driven-decisions,Enhancing Airline Performance Analysis for the Department of Transport
User: rishav21r
data-driven-decisions,Hybrid Deep MILP Planner (HD-MILP-Plan)
User: saybuser
data-driven-decisions,Analyzing Retail data to explore the dataset and answer a main question which is how we can make more money by improving weak areas and represent the data in an interactive way.
User: sheminho
data-driven-decisions,Google Data Analytics Professional Certificate
User: souritra01
data-driven-decisions,A predictive model for postgraduate program enrollment based on historical data, student rankings, and various influencing factors.
User: stepantita
data-driven-decisions,SOMOSPIE (Soil Moisture Spatial Inference Engine) consists of a Jupyter Notebook and a suite of machine learning methods to process inputs of available coarse-grained soil moisture data at its native spatial resolution. Features include the selection of a geographic region of interest, prediction of missing values across the entire region of interest (i.e., gap-filling), analysis of generated fine-grained predictions, and visualization of both predictions and analyses.
Organization: tauferlab
data-driven-decisions,Uncover insights from Zomato's restaurant data using Excel, SQL, Power BI, and Tableau. Analyze location trends, opening patterns, ratings distribution, and price ranges for a comprehensive understanding of the dining landscape. Dive into this repository and unlock the flavors waiting to be explored. Your culinary adventure starts here!
User: virajbhutada
data-driven-decisions,Google Advanced Data Analytics Projects: WAZE and Salifort Motors
User: xiyuanwu
data-driven-decisions,Google Data Analysis Capstone - Cyclistic Bike Share Analytics
User: xiyuanwu
Home Page: https://www.coursera.org/professional-certificates/google-data-analytics
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