Pinned Repositories
itzhv14's Repositories
itzhv14/raitkart
RAITkart: An Online Marketplace
itzhv14/toll-iot-form
itzhv14/Covid-19-Tracker
itzhv14/HillyDay
itzhv14/Medicine-Reminder-App
itzhv14/ML-Code-Basics
itzhv14/ML-Krish-Naik
itzhv14/ML-Natural-Language-Processing
itzhv14/ML-Vidya-Analytics
itzhv14/AuthentiFi
A blockchain-based Product Ownership Management System for anti-counterfeits in the Post Supply Chain.
itzhv14/Banglore-home-price-prediction-project
itzhv14/Celebrity-Face-Classification-Project
itzhv14/Django-blog
itzhv14/dsc-github-session
Repository made during the DSC GitHub Session
itzhv14/github-slideshow
A robot powered training repository :robot:
itzhv14/HandsOn-Data-Analysis-and-ML
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 on a very short-term basis for a price. This allows people to borrow a bike from point A and return it at point B, though they can also return it to the same location if they'd like to just go for a ride. Regardless, each bike can serve several users per day. 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 use data provided by Motivate, a bike share system provider for many major cities in the United States, to uncover bike share usage patterns. You will compare the system usage between three large cities: Chicago, New York City, and Washington, DC. Day:1 In this project, Students will make use of Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington. You will write code to import the data and answer interesting questions about it by computing descriptive statistics. They will also write a script that takes in raw input to create an interactive experience in the terminal to present these statistics. Technologies that will be covered are Numpy, Pandas, Matplotlib, Seaborn, Jupyter notebook. We will be giving the students a deep dive into the Data Analytical process Day:2 We will be giving the students an insight into one of the major fields of Machine Learning ie. Time Series forcasting we will be taking them through the relevant theory and make them understand of the importance and different techniques that are available to deal with it. After that we will be working hands on the bike share data set implementing different algorithms and understanding them to the core We aim to provide students an insight into what exactly is the job of a data analyst and get them familiarise to how does the entire data analysis process work. The session will be hosted by Shaurya Sinha a data analyst at Jio and Parag Mittal Software engineer at Microsoft.
itzhv14/hello-github-actions
itzhv14/intermediate-python-course
an intermediate Python course
itzhv14/itzhv14
itzhv14/JPMorgan-Chase-Software-Engineering-Virtual-Experience
Throughout the virtual experience, I am familiarizing myself with JPMorgan Chase frameworks and apply my technical skills to a hypothetical request from the firm’s trading floor to analyze and visualize data in a new way.
itzhv14/python-random-quote
A file-based quote bot written in Python
itzhv14/simplewebrtc-messenger
itzhv14/WebsiteTemplates
Website Component Templates. This repo is dedicated to all the templates we regularly use while developing websites/webapps. PS: If we get enough templates, we are going to build a webapp where we will show/downloadable this templates properly organised
itzhv14/weekly-challenges
One stop for submitting your weekly challenges!