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Boston House Prices EDA

You are a Data Scientist with a housing agency in Boston MA, you have been given access to a previous dataset on housing prices derived from the U.S. Census Service to present insights to higher management. Based on your experience in Statistics, what information can you provide them to help...
Akriti Sood
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Airbus Ship Detection

In this project, we aim to explore the application of deep learning techniques such as Convolutional Neural Networks (CNN), to highlight an innovative approach to automatic ship detection in the context of maritime domain awareness. The paper aims to provide a brief description of the problem,...
Jay Bendre
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Relevium

Relevium can identify disaster cycles as a medium for identifying the hazard risk and consequently prepare a community for effective mitigation. Vulnerable zones, their types, effects, and the depth of a disaster are identified. This can be used for developing an early-warning communication...
Jay Bendre
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Gradient Boosting Implementation from Scratch

Inspired by the sustained popularity of the Gradient Boosting Regression Tree (“GBTR”) algorithm, we go back to square one in an attempt to complete a from-scratch implementation in Python. This paper documents a journey from the basics of the regression tree algorithm through gradient boosting...
Jay Bendre
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Stocks Price Analysis

-The objective is to analysis the Price of 3 stock`s Prices over 10 Years in the Egyptian Stock Market. - The process started by Using Egx30 dataset and choosing three Stocks (EKHO-TMGH-BTFH). then using Descriptive statistics. - The Results was defining The Mean and Standard deviation of the...
Mohamed Hany Ahmed
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Age-related changes in upper body grip strength and lower extremity power in healthy adults aged 18-70 years

The client’s study focused on the age-related changes in upper body grip strength and lower extremity power in healthy adults aged 18-70 years. Client needed to test for differences in strength and power between the age bands, as well as finding out at what age does strength and power...
Nicoleta Gena Oncescu
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To what extent does perceived authorship play a role in the appreciation of algorithmically generated poetry in sonnet and haiku poems

The researcher I collaborated with wanted to approach the question whether authorship plays a role in the appreciation of algorithmically generated poetry in sonnet and haiku poems. The data file had to be cleaned and re-organized to fit the proper format for the hypotheses design. I have...
Nicoleta Gena Oncescu
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How team sports participation affects mental health amongst university students

The client wanted to investigate how team sports participation affects mental health amongst university students. Their request intended to compare individual sport vs. team sport, in a sample of 30 participants. Some of the requested tasks included finding out if there are any differences...
Nicoleta Gena Oncescu
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Twitter API Scraping, Analysis of trends and Sentiment Analysis

The project goal is to create a pipeline that will collect data from the Twitter API, clean it, and apply NLP procedures in sentiment scoring and text annotation. Power bi report was created for a more dynamic and interactive analytics, as well as a more detailed analysis.
Chidiebere Afamefuna
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Would you Survive Titanic?

Bring out the time machine and travel back to 1912! Go on Titanic's maiden voyage and see if you would survive its *titanic* crash. This app uses a Decision Tree trained on the Titanic Dataset to predict whether you will survive or not. The machine learning model was trained in Kaggle. The...
Moajjem Hossain Chowdhury
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Laptop Price Predictor

In this project, I built a website for laptop price prediction. It started from data analysis till website deployment. All the resources are available in the Github repository.
Ali Yusifov
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AI ChatBot Using NLTK & Keras

Build a chatbot using deep learning techniques. The chatbot will be trained on the dataset which contains categories (intents), pattern and responses. Using a special recurrent neural network (LSTM) to classify which category the user’s message belongs to and then we will give a random response...
Mirza Shaharyar Ali Baig
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Detecting Credit Card Fraud using Classification Machine Learning Techniques

This project classifies the records of transaction data as a fraudulent transaction or a real transaction. The model makes use of synthetic transaction records generated by CTGAN and attempts to classify the original credit card transaction data, which is a highly imbalanced dataset that only...
Prerna Roy
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Airbnb's Listings Price Prediction

Choosing the price for your house in Airbnb can be a difficult task. So I analyzed Airbnb's data from Seattle and Boston to see how are the listing's priced over there. Then I created machine learning models that automatically predicts both a houses's price and score rates. That way you can...
Thiago Macedo
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Medical Insurance Price Prediction

Performing EDA on a dataset to get insights on features and answer questions. Using Machine Learning Techniques to create a model capable of predicting the price. Purpose: To automate and ease the process of calculating insurance charges for insurance companies / Give quick price prediction...
Denis Ivanilov
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Customer Personality Analysis and Segmentation

Perfoming EDA, Univariate and Bivariate Analysis, Profiling to get insights about customers. As well as using unsupervised learning techniques. Making Web Dashboard for visualizing clusters and profiling. Business Implementation: Help business better understand its customers and their habits,...
Denis Ivanilov
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DQN Implementation on Determining Casino Holdem Perfect Strategy

Built a DQN model on a custom Casino Hold'em environment, utilizing the Boltzmann Q Policy to determine the best play and the action values in each scenario.
Toby IO MAN KUAN
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Determine Pricing Strategy: Conjoint Analysis

Conjoint Analysis (a.k.a Discrete Choice-Based Experiment) is a survey-based statistical technique used in quantitative market research to determine how people value different features of a product. It helps capture the relative preference of a user over different product features. It is...
Brinda Sapra
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Named entity recognition architecture combining contextual and global features

We propose the combination of contextual features from XLNet and global features from Graph Convolution Network (GCN) to enhance NER performance. Experiments over a widely-used dataset, CoNLL 2003, show the benefits of our strategy, with results (93.82% in F1-score) competitive with the state...
TRAN Thi Hong Hanh
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new image segmentation machine learning model

Developed a new image segmentation machine learning model to extract meaningful insights about crops, such as health, type, and area coverage. The project results are implemented by England-based startup DroneAg’s flagship product Skippy Scout, a mobile application that automates the flight of a...
Bakhtiyar Babashli
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