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649 Python data science projects found

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Predicting Airbnb Rental Prices in the U.S.

This project analyzed the factors that may have significant roles in affecting prices, which will provide comprehensive insights about Airbnb rental price valuation across the U.S.
Kathleen Yoojin Jeong
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Predicting Yelp Review Quality

Using natural language processing (NLP) and machine learning (ML) to predict the usefulness of Yelp reviews given the review text and metadata surrounding the reviews.
Jeff Johannsen
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Radionuclide Release Analysis

The main objective of this exercise was to analyze the quality of open-access radionuclide release datasets, by identifying patterns, trends, unusual values, and missing data to inform regulatory legal submissions related to nuclear transparency and data disclosure for the Canadian Nuclear...
Alan Rial
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Public Health Analytics: Investigating the Global Demographic Impact of COVID-19

This project offers two sets of visual representations regarding public health during the global pandemic. The first focuses on the worldwide implementation of social measures aimed at controlling the spread of Covid-19. The second examines the demographic disparities in Long-Covid symptoms.
Shixing Lin
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Nigeria Crude_oil Production Analysis

Crude Oil Production in Nigeria is expected to be 1300.00 BBL/D/1K by the end of this quarter, according to Trading Economics global macro models and analysts expectations.
Victor
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Anomaly detection with IsolationForest

Project to analyse anomalies spent by corporate credit cards of Brazilian government.
Guilherme Ludwig
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Formality Neural Machine Translation

Our project aims to use and compare Neural Machine Translation models for translation of informal English sentences to formal English sentences. Initially, we imagined this functionality to be useful for new English speakers who are trying to navigate the way native English speakers speak...
Julie Lai
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Secure the Bag

A platform designed for users to gain a deeper understanding of food insecurity in California. Predictive models are used to create data visualizations demonstrating the historical and future trends in food security in California. Tools for machine learning implemented to have users interact and...
Pauline Yue
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Academic Publications

Mitigating Dataset Artifacts in Natural Language Inference Through Automatic Contextual Data Augmentation and Learning Optimization (LREC 2022 - Main Author), CLFD: A Novel Vectorization Technique and Its Application in Fake News Detection (LREC 2020 - Main Author).
Michael Mersinias
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history

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Cesar Cruz Rojo
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Upskilling with Ubiqum Code Academy

A 500-hours project-based course where the students develop and hone hands-on skills in Data analysis, Data visualisation and Machine Learning modelling with a variety of tools and programming languages (part-time, until end of March 2022). This is equipping me with the necessary skills and...
Alexandra Florea
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Climate events in the United States in 2017

Using a dataset on climate events in the US in 2017 to try to correlate the damage caused by natural disasters in the United States with the price of home insurance. But also, we can establish a temporal visualization of event occurrences to determine on which seasons each type of event...
Rhizlaine DEGNI
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Customer Churn Prediction

Created an interpretable model that predicts churn on telecom data found on Kaggle (F1: 0.796) to build a pipeline to try and retain more customers. Used SMOTE to oversample minority class (churned customers) which improved the F1 score from 0.61 to 0.80. Engineered new features, for example,...
Jack Leitch
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Student Performance Predictor Application

• End-to-end application that predicts the student performance based on his/her prior educational and geographic records. The dataset was created synthetically for training and analyzed using seaborn library. • The application was built using Python and trained using a Random Forest model and...
Rashmi Badadale
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Using ML to predict how much your car will cost

Created a web app that predicts the selling price of your used car in dollars based on features such as age, odometer value, gear and vehicle type etc. Cleaned and analyzed a dataset of used cars sold on Craigslist, applied and compared between different regression models such as XGBoost and...
Clavin Dsouza
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Analysing volumes of Demon Slayer manga on Amazon

Created an interactive web app that allows users to view summarized data of user reviews of the popular manga "Demon Slayer" on Amazon. Used web scraping tools such as Beautifulsoup to extract the user reviews for each volume of the manga into a .json file. Analyzed the reviews using data...
Clavin Dsouza
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Access to the education around the world

In this project, data are collected from different databases. The main objective was to produce a dashboard and segmentation to explain the differences in access to school around the world. Clustering algorithms are used and 4 groups were found. With the help of these clusters, we can imagine...
Cécile Guillot
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Coviprev Analysis

French gouvernment with the help of "Santé Publique France" made a survey about mental health of French people during the Covid19 crisis. Results of this survey are available on Internet on the website data.gouv.fr. In this project, I use the data to study the impact of the Covid19 and the...
Cécile Guillot
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Epidemiological Simulation

simulation and visualization of the propagation of a virus in a population according to different parameters. Then mathematical validation thanks to epidemiological models with compartments.
Antonin
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No-code AI platform

The No-code AI platform is a site developed with Python and deployed with Streamlit, which allows to do Machine/Deep Learning without writing any line of code.
Antonin
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