data-driven-decisions
There are 0 repository under data-driven-decisions topic.
ongov / AI-Principles
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
saybuser / HD-MILP-Plan
Hybrid Deep MILP Planner (HD-MILP-Plan)
Language:Python 15Minimize 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.
TauferLab / SOMOSPIE
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.
Language:Jupyter Notebook 10- be-neutral
mariha / be-neutral
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.
Language:Java 7 MighTy-Weaver / Inefficient-AC-detection
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).
Language:Python 4rahulthairani / Business-Analytics-MicroMasters-Program
Program Description and Certificates for the MicroMasters Program in Business Analytics
nafisalawalidris / Recipe-Site-Traffic-Prediction
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.
Language:Python 2- Data-Science-in-Golf-Strokes-Gained-vs-Traditional-Metrics
NishadKhudabux / Data-Science-in-Golf-Strokes-Gained-vs-Traditional-Metrics
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
Language:Jupyter Notebook 2 - Loan-Default-Prediction
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.
Language:Jupyter Notebook 2 StepanTita / students_nure
A predictive model for postgraduate program enrollment based on historical data, student rankings, and various influencing factors.
Language:Jupyter Notebook 2datablazor / MPS-Analytics-CPS-Northeastern-Univ
MPS Analytics Coursework [2020 - 2021]
Language:HTML 1doneria-anjali / genome
Data-driven Decision Making project to predict location of oil and petroleum refineries in United States
Language:Python 1- Market-Basket-Analysis-on-the-Online-Retail-Data
kkrusere / Market-Basket-Analysis-on-the-Online-Retail-Data
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.
Language:Jupyter Notebook 1 rishav21r / Airline-Performance-Analysis-Dashboard
Enhancing Airline Performance Analysis for the Department of Transport
DishaK06 / Online-Store-Sales-Analysis
Analysis of an online store indicating its KPIs such as Sales, Profit, Total Customers, Orders, Units Sold, etc
0JaydeepAgravat / SmartCode
Scraping LeetCode data, analyzing for insights, crafting a user-friendly dashboard, and building a problem recommender for optimized problem-solving.
Language:Jupyter Notebook 0KimberlyHodges / Bixal-Methodology
Describes Bixal's development methodology
0meaghancoconnor / registration_prediction
Python code that predicts which course a student will register for based on their previous registration history.
Language:Python 0ninaphm / DATA-ANALYST-PORTFOLIO
DATA ANALYTICS PORTFOLIO
0Built 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.
Language:Jupyter Notebook 0A 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.
Language:Jupyter Notebook 0oshinrathor / datSci
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.
Language:Jupyter Notebook 0PauMatas / DPA-visual-analytics-tool
Visual analysis application for the data collected by a Formula Student car during driving, aiming to evaluate and compare the drivers of the team.
Language:Jupyter Notebook 0Rakshayani / Insights-Engineer
Rakshayani Thyagu's Portfolio
Language:Jupyter Notebook 0Sheminho / Exploratory_Data_Analysis-Retail
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.
Language:HTML 0SouRitra01 / Google-DA-Prof-Cert
Google Data Analytics Professional Certificate
Language:Jupyter Notebook 0- Google_Advanced_Data_Analytics
XiyuanWu / Google_Advanced_Data_Analytics
Google Advanced Data Analytics Projects: WAZE and Salifort Motors
Language:Jupyter Notebook 0 - Google_Data_Analytics
Google Data Analysis Capstone - Cyclistic Bike Share Analytics
Language:Jupyter Notebook 0 Lefteris-Souflas / Propensity-To-Lapse-Model-Building-Exercise
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.
matth-adenyo / airplane-crash-analysis
Airplane Crash Analysis: A comprehensive analysis of airplane crashes and fatalities spanning from 1980 to 2023.
- Language:Python
- Language:HTML
virajbhutada / Zomato-Restaurants-Analysis-Excel-PowerBI-SQL-Tableau
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!
