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analyze-ab-test-results

Udacity Data Analyst Nanodegree Project4 Analyze-AB-Test-Results

applications-of-gis-geom20013-

https://handbook.unimelb.edu.au/2020/subjects/geom20013/

applied-data-science-2021-semester-2-assignment-1

Spatiotemporal datasets consists of both space and time dimensions and represent many real world applications such as medical imaging data, video data, weather patterns and so on. The aim of this assignment is to familiarize ourselves with dataset generation by time samples and pixel values, its preprocessing by statistical measures, its analysis by parameter estimation, its results visualization by graphs, and its evaluation by performance metrics.

automated-trading-strategy-result

This repo consists of the log file of an automated trading strategy trading on currency 'EUR/USD'

bank-telemarketing-classification

The classification goal is to predict if the client will subscribe (yes/no) a term deposit (variable y).

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

card_game

In this project, I develop a strategy for my bot to play against other bots in a simulated card game.

coronavirus-analysis

data_linkage-classification

For this project, I will perform a data linkage on two real-world datasets and explore different classification algorithms.

database-systems-info20003-

design-of-algorithms-comp20007-

https://handbook.unimelb.edu.au/2020/subjects/comp20007

disaster-and-risk-management-spatial-analysis

In light of the recommendations on Emergency Planning and Response, the State Government has contracted your consultancy to perform a risk analysis across the state. Your consultancy will be required to gather state-wide data related to the disaster scenario and its effect on the population, environment, industry, and infrastructure. Based on this data, the state government wants your consultancy to produce a response plan for emergency response teams and the general public. This response plan will prepare the target audiences for future disaster events.

facebook_bot

Facebook_bot

florence-chatbot

Cross-platform compatible chatbot for answering common and simple Frequently Asked Questions (FAQs). It can be plugin into Facebook Messenger, Slack or Wordpress.

grid-based-route-replanning

Route planning is used in the navigation of autonomous agents, e.g., self-driving vehicles, robots, and humans (think of mapping services). Grid-based route planning studies the problem of constructing a route from an initial cell to a destination cell in a two-dimensional space subdivided into grid cells that are either blocked or empty.

hestertzehun-project-1-

Welcome to the first project for SWEN20003! Across Project 1 and 2, you will design and create a simulation of a fictional universe. In this project, you will create the basis of a larger simulation that you will complete in Project 2.

hestertzehun-project-2

The second task, Project 2B, asks you to complete your implementation of the simulation de- scribed in the rest of this specification. You do not need to strictly adhere to the design you submitted for Project 2A—it is intended as a high-level design based only on reading the specifi- cation, and to practice designing using object-oriented principles before you begin programming. You will likely find ways to further improve the design as you implement it. Submission for Project 2B will be via Gitlab. You must make at least 5 commits throughout your project. This will be enforced.

high-speed-railway-spatial-analysis

house-prices-advanced-regression-techniques

Competition Description

intro_to_webapp

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

melbourne-traffic-analysis

Uses Machine Learning Algorithms i.e Principal Component Analysis (PCA) and VAT algorithms to analyse and visualise the patterns surrounding motorists speeding in Melbourne.

population_trend_under20_suburbs_victoria_spatial-analysis

pose-classification-with-naive-bayes

Implement a supervised na ̈ıve Bayes learner to classify pose from key- points provided by a deep convolutional neural network.

premier_league_mathch_prediction

Build a classification model to predict the result of a match (Home / Away / Draw) given the match statistics and Build a regression model to predict the number of goals expected for matches given the match statistics.

probability-for-statistics-mast20006-

https://handbook.unimelb.edu.au/subjects/mast20006

project-analyse-weather-dataset

A data analysis for the overall trend in Kuala Lumpur temperature vs Global Temperature throughout the years

project-brazil-medical-appointments-data-analysis

A data analysis for factor of patients absent in medical appointments in Brazil

project-e-commerce-a-b-test

A/B Test of an e-commerce website to help the company to determine if they should implement a new page

project-prosper-loan-data-analytic

Data Analytic of tools used by Prosper, a p2p lending marketplace