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algo-practise

d3-book

Sample code files to accompany the book “Interactive Data Visualization for the Web”

data-visualisation-with-d3-and-dimplejs---airline-data

Data visualisation : Uses airport data from http://www.transtats.bts.gov/ to present a animated and user-interactive output. Presents 'delay' information by geography and through the years.

descriptive-statistics-titanic-dataset

Analysis (Cleaning , exploration and conclusion) of Titanic data. Uses Interactive python and MatPlotLib and seaborn for plotting. Pandas and numpy for data manipulation.

exploratory-data-analysis-prosper-p2p-loaning-

Exploratory data analysis for Prosper loan data - Udacity Project. Uses R and various libraries to explore trends across 81 parameters of data over 100,000 transaction between 8 years (2006-2014).

fraud-identification-using-ml---enron-email-corpus

Using Python + Scikit-learn to identify fraud and persons of interest in Enron data set.

improve-student-experience---a-b-testing

This repository contains the report for A/B testing performed over the Udacity dataset to improve student experience in their website and courses. 'Udacity Report.pdf' contains the final report. Project requirements :

inferential-statistics-test-a-perpetual-phenomenon

This project uses Inferential statistics (Mainly t-statistics) to test if there is a significant different i.e if there is a phenomenon. 'UdacityAssignment.pdf' contains the report on Stroop tests.

mac-dev-setup

A beginner's guide to setting up a development environment on macOS

mac-setup-1

My MacBook setup for all sorts of work.

misc-coding-challenge

ml-dl-deep-dive

Study materials for ML and DL

neural-network-with-backpropagation

Predict number of bike rented in a day - Neural network with forward and backward propagation using numpy

openstreetmap-data-wrangling---philadelphia-pa

Analysis , Munging , Cleaning of OpenStreepMap data for the city of Philadelphia , PA . Using MongoDB , Plotly and Python. 'OSM analysis - MongoDB.pdf' for full report. Represents various stats such as : Common errors , mis-classification , best/efficient contributors, anomalies , and stats about various infrastructure.

quadcopter_final_year_project

Semi-autonomous quadcopter - Final year Project (SRM University) - using Arduino ,Raspberry pi.Uses Flight Stabilisation algorithms , Machine learning for gesture recognition , Serial and remote communication , dashboard and collision-avoidance.

quizzler-flutter

Learn to Code While Building Apps - The Complete Flutter Development Bootcamp

source-sink-data-transfer