Clustering advanced industries to facilitate technology transfer in the Barcelona metropolitan region Spain has been at the forefront of pioneering research and innovation that have led to significant contributions to the world of technology. Technology Transfer Technology transfer from research to market seems like a straight-forward and linear process, but such is not the case. … Read more
Goal: to predict trip duration of NYC cabs using machine learning models. Tools: Python + Nympy + Pandas + Datetime + Plotly.express + Matplotlib + Math + Seaborn + Bokeh + Sklearn Stages of project: data cleaning, data analysis, data preparation, data testing, evaluating prediction accuracy. Data cleaning The first dataset visualization with splitting datasets … Read more
Ciudades urbana y humanamente digeribles Quetzaltenango, Guatemala. C.A Anteriormente el tema se aborda desde la perspectiva de ecología y cambio climático, donde se expone la situación actual de la ciudad de Quetzaltenango y donde se identifican los procesos alimentarios a traves de la industria y como estas dinámicas crean ciudades enfermas y obviamente ciudadanos enfermos, … Read more
Machine Learning-based Analysis of NYC Cab Trip Duration “Data-Driven Rides” is an entry for the first MaCT Machine Learning Competition that hosted on Kaggle which involves predicting the duration of taxi rides in New York City. The dataset provided for this competition is based on the 2016 NYC Yellow Cab trip record dataset and the … Read more
The objective of this exercise is to build a machine learning model that will predict taxicab trip durations based on 2016 NYC Yellow Cab trip record data. Data Fields Based on this, this project will develop a machine learning regression algorithm capable of predicting the duration of a trip based on the variables provided by … Read more
The MaCT01 students were tasked with training a model that would be used to predict NYC yellow taxi ride durations using machine learning. The dataset included pickup and drop-off datetimes, location coordinates and passenger count. Visualizing the data helped to understand the correlation between the columns and remove the highly correlated values Understanding the distribution … Read more
The source dataset provided for this project is derived from the 2016 NYC Yellow Cab trip records, which were made publicly available on the Big Query platform of the Google Cloud. The data was originally collected and published by the New York City Taxi and Limousine Commission (TLC). This dataset serves as the foundation for … Read more
#Objective #A Kaggle Competition to MaCT01 students to show their knowledge, designing an end-to-end machine learning project to predict the “Trip Duration” of NYC Taxi trips. #Workflow #First of all a workflow hast do be developed, which represents a classic approach for training machine learning models, analysing the provided training data provided by the submission, … Read more
The aim of the project is to predict trip duration, using 2016 NYC YELLOW CAB TRIP DATA. Structuring the dataset The analysis begins with outlier identification. The passenger_count variable has two outliers: 0 and 9, which compared to the amount of people allowed by the NY Limousine law, is impossible. Also, there were some pickup … Read more
INTRODUCTION Urban planning decisions have a significant impact on the development of cities, and using machine learning can provide decision-makers with valuable insights to make informed decisions. By clustering urban areas based on various factors such as population density, built density, POI density, green cover, and build diversity, we can reveal spatial patterns that can … Read more
Climate change is increasing the frequency and severity of extreme weather events, and cities like Mumbai with a population of over 12 million people, is particularly vulnerable to the impacts of climate change. In fact, studies have shown that Mumbai is one of the cities most at risk from rising sea levels more intense floods, … Read more
Facts Matter: Visualizing the Importance of Evidence-Based Thinking Factfulness, written by Hans Rosling, is an insightful and thought-provoking book that challenges our preconceptions about the world and encourages us to think more critically and objectively about the state of our planet. In this book, Rosling argues that many of the widely held beliefs about the … Read more
Exploring the Fundamentals of Scaling Laws with Geoffrey West’s Scale Geoffrey West’s book, Scale, explores the fundamental principles that govern complex systems in the naturalworld, including organisms, ecosystems, cities, and companies. The book argues that these systems exhibit predictable patterns of behaviour as they grow and scale, which can be explained by a few simple … Read more
PROBLEM A lack of activities and engagement in certain streets can lead to a decrease in their vibrancy and vitality. This can manifest in empty streets, dilapidated buildings, and a dearth of social and cultural events. Over time, these areas may become less desirable places to live or visit, perpetuating the cycle of neglect and … Read more
Do you nip out to get your lunch from your favourite café, or perhaps use the Uber Eats app to get your lunch delivered to your office? In India, lunch is a whole different ball game. It’s people-powered – made at home that morning and delivered straight to you, all absent of any technology in time. … Read more
This is a short visual story about my personal digital space usage patterns and our need to be aware of our digital carbon footprint. Tracking my personal habits has revealed some shocking facts, which led towards reflecting on intangibility of the digital world, hopelessness in perceiving it as a hyper object and an urge to … Read more
