kartikvij Goto Github PK

100_days_of_ml_code

These are the instructions for "100 Days of ML Code" By Siraj Raval on Youtube

algo-ds

Repository for new Contributors to come and collaborate for hacktoberfest!

atm-java

bikeshare

customer_segments_machine_learning

To Analyze a dataset containing data on various customers' annual spending amounts (reported in monetary units) of diverse product categories for internal structure. One goal of this project is to best describe the variation in the different types of customers that a wholesale distributor interacts with. Doing so would equip the distributor with insight into how to best structure their delivery service to meet the needs of each customer.

datastructurespractice

depth_skeletal_kinect_iot

A project of Man Following Robot developed with an aim to create a medium to transfer food items from one place to another

drowsiness_alert_system

Image Processing Based Program to alert Driver when he is about to sleep while driving

excel-data_science_batch

facial-recognition-using-opencv

A facial recognition algorithm to identify an individual's face once trained on.

finding_donors_machine_learning

Goal with this implementation is to construct a model that accurately predicts whether an individual makes more than $50,000. This sort of task can arise in a non-profit setting, where organizations survive on donations. Understanding an individual's income can help a non-profit better understand how large of a donation to request, or whether or not they should reach out to begin with. While it can be difficult to determine an individual's general income bracket directly from public sources, we can (as we will see) infer this value from other publically available features.

flutter_startup_namer

hacktober-fest

ieee_ciet_sb_full_website

IEEE CIET SB Website

ieee_ciet_web_node

Node_data for webisite

learn_machine_learning_in_3_months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

link-extractor-using-python

mini-web-search

Python Project

movie-trailer

Udacity's Full Stack Project of Movie Trailer Website

neo

comma neo research platform

openpilot

open source driving agent

panda

code powering the comma.ai panda

phase1

pixel-art-maker

pyfindmac

this project help to find mac addrs

python-ml-chitkara-workshop

Workshop at Chitkara 19-20 July

tour-guide

us_bikeshare_data

Over the past decade, bicycle-sharing systems have been growing in number and popularity in cities across the world. Bicycle-sharing systems allow users to rent bicycles for short trips, typically 30 minutes or less. Thanks to the rise in information technologies, it is easy for a user of the system to access a dock within the system to unlock or return bicycles. These technologies also provide a wealth of data that can be used to explore how these bike-sharing systems are used. In this project, you will perform an exploratory analysis on data provided by Motivate, a bike-share system provider for many major cities in the United States. You will compare the system usage between three large cities: New York City, Chicago, and Washington, DC. You will also see if there are any differences within each system for those users that are registered, regular users and those users that are short-term, casual users.

website