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572 machine learning projects found

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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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Germany Rental

It's very hard for foreigners like me to find an apartment in Germany and we actually don't know how much do we have to pay per month. So, I dig deep in analysis, clean, virtualization, and creating a model by using Light Gradient Boost (similar to XGBoost but faster!) to predict the rental...
Patawee Ratanaruengwatna
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Spanish Train

Rail transport in Spain operates on four rail gauges and services are operated by a variety of private and public operators. The total route length in 2012 was 16,026 km (10,182 km electrified). I'm trying to analyze the trend of the train usage through by using time as the index. We could know...
Patawee Ratanaruengwatna
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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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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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Sales Forecast Model

Forecasting product sales with Facebook's Prophet library and Modeltime R package.
Anita Owens
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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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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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2019 NBA Final: Twitter Analysis

An Analysis of Tweets posted during 2019 NBA Finals with Infographics.
Edoardo Gervasoni
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Kepler Exoplanet Classification

Preprocessing, exploration and classification of the data collected by the NASA-build satellite Kepler Space Observatory with the objective of finding exoplanets.
Edoardo Gervasoni
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Causes of Employees' Attrition

Exploring the causes of employees' attrition through the analysis of Directed Acyclic Graphs and the implementation of Structure Learning Algorithms.
Edoardo Gervasoni
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Energy Price Forecasting

Forecasting of the price of the Energy market through linear (ARIMA, UCM) and non linear (KNN, RNN) models.
Edoardo Gervasoni
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Salary Prediction in Tech Jobs

How much should someone earn based on level education and experience? Despite the fact that salary may not always be the primary motivation for accepting a job offer or staying in a role. The objective is to make accurate salary predictions based on existing known salaries by job and location....
Thiago Pauli
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RFM Customer Segmentation

RFM segmentation allows marketers to target specific clusters of customers with communications that are much more relevant for their particular behavior – and thus generate much higher rates of response, plus increased loyalty and customer lifetime value. Like other segmentation methods, RFM...
Khair Ahammed
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WR Predictor

A web app allowing you to predict the best possible time for a game speedrun.
Charles-Meldhine Madi Mnemoi
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Saturdays.AI ML course

Course I organise with the aim of making Artificial Intelligence more accessible. The notebooks in the repo are the different sessions that the students go through, each one having a practice and a challenge for them to solve. The topics covered are Exploratory Data Analysis, Supervised and...
Marcos Ivorra Peleguer
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Covid-19 Vaccination rollout prediction

Project whose objective was to forecast the rollout of vaccination predictions amongst affected countries. Given the uncertainty aspect of the problem, we used probabilistic methods to measure the uncertainty of the forecasts. Moreover, given the disparity in policies against Covid-19 and the...
Marcos Ivorra Peleguer
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Poverty rate analysis with linear regression and PCA

This notebook focuses on the analysis of the poverty rate of OECD countries in 2015. The analysis shows that income inequality explains the most of the poverty rate, but the share of this factor tends to change depending on the country.
Valentin Joly
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