Kartik Vij's repositories
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!
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.
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
Facial-Recognition-Using-OpenCV
A facial recognition algorithm to identify an individual's face once trained on.
IEEE_CIET_SB_Full_Website
IEEE CIET SB Website
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.
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
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
pyFindMac
this project help to find mac addrs
python-ml-chitkara-workshop
Workshop at Chitkara 19-20 July
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.