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Wine Recommender System and Database

Reverse engineered vivino.com's API endpoints to create an ETL pipeline that created a database of 40,000+ wines and 140,000+ vintages. Using keywords from reviews created a TFIDF matrix to recommend wines of similar taste profiles to users.
Eric Mozeika
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Wordle SQL Algorithm Solver

How do you ruin the fun of Wordle for yourself? For this coding challenge, I developed a SQL algorithm for Wordle that solves all 2,315 words in under 16 seconds with an average of 3.76 guesses per word.
Rohit Venkat
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Forecasting Retail Store Sales With Gradient Boosted Trees

This project uses gradient-boosted trees to predict Rossmann stores’ daily sales six weeks ahead. It uses AWS-hosted data containing daily sales of 1115 stores between 2013 and 2015. Visual EDA is performed in Tableau.
Marc Feldmann
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Restaurant Management System

Designed a database system for restaurant management by developing conceptual and logical design, followed by physical design development after normalization. Built reports and preprocessed data (data cleaning &wrangling) on multiple conditions by using Oracle SQL
Ambika "Amber" C
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DeepLeaningDemo

demo application for deep learning algorithms
BrahimJellite
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Leveraging Machine Learning to help predict success rate of startups in US

The highly volatile nature of startup firms make it difficult to interpret the success rate and due to this intensive nature it becomes inevitable to use the potential of machine learning to build a predictive model. This project aims at trying to predict the success rate of startups in US...
Rahul M
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SpaceX - analysis

Rocket launches cost can be drastically reduce if the first stage of the rocket is recovered, In this project the idea was analyse the previous launches and their characteristics to look for patterns or insights on which to base to predict with high accuracy if the first stage will land or not.
Juan esteban moreno agudelo
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Stock Market Nifty Index Price Predictor

1) Analyzed the past year's Nifty index data and predicted the trend and moving average, and understood sentiments of the buyers and sellers, later using the LSTM model to predict the next day's index value. 2) The project's primary objective was to analyze different trading indexes like...
Chinmay Dhamapurkar
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Restaurant Rating Predictor

The dataset contains reviews for each restaurant, which helps find an overall rating for the place. The the project emphasises rating for a particular restaurant. Predicted ratings based on different parameters like Average_cost for two people, Online Order available, foods, menu list,...
Chinmay Dhamapurkar
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Toys and Models Project

• Task: To propose KPIs and graphs in a Dashboard in order to help the board in its decision-making and to have a consulting role. The objective of the project is to create a dashboard that includes several key performance indicators (KPIs) related to sales, finance, logistics, and human...
Yunus Erbas
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Automatisation - Public Transports

This project involves analyzing the use of different means of transportation, such as self-service bicycle terminals. The goal is to collect data on the frequency and use of these means of transportation and to create a cartographic visualization and a dashboard with indicators to compare the...
Yunus Erbas
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Candy Crush Numbers Crunch

This is a project with data from the popular game app, Candy Crush. The data was acquired from Kaggle, and takes a look at the first fifteen levels. This project focuses on cleaning this data, forming actionable questions that can answered with this data, analysis, and creation of helpful visualizations.
Cheyenne
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Lego Freak's Wet Dream: An Interview at Denmark's Jewel

I’m a Lego freak. This goes back as far as I can remember. My mom would tell me that I would sit with the Lego sets, following instructions, in complete silence, for hours on end. No food, no bathroom break, no reaction to questions. I remember the feeling of being entirely engrossed in the process.
Pauline Novak
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Video Game Sales

Forecasting video game sales for the next month using twitter and VGChartz
Sarah Floris
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VOLATILITY FORECASTING IN INDIA

For each assessment, students must score 90%. Learners create a GARCH time series model to predict asset volatility. They acquire stock data through an API, clean and store it in a SQLite database, and build their own API to serve model predictions.
Heathcliff Nyambiya
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SQL Chinook Query Project

Used SQL to navigate between and combine tables to extract the most important information. Utilized SQL aggregations, queries, joins, and other functions to answer the questions that would benefit the store. Imported and organized data in Excel to visualize the results in a presentable manner
Jana Zaky
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SQL Query: Bee-Cycle Sales Analysis

Bee-Cycle Sales analysis using SQL Query and using SQLite as database
Aldimeola Alfarisy
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Bike Sharing - Case Study - Data Analytics

This project aims to study the bike sharing data in Chicago to propose how to increase the number of annual memberships. This exercise part of the Google Data Analytics Professional Certificate.
Lucas Falarz
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Аналитика Dune

Создание дашборта с показателями
Kseniia
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Relational Database Design and SQL Course Project

Objective is to produce a tutorial to illustrate how to use SQL and how to work with MS SQL Server Management Studio.
Stan Chen
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