Aditya's repositories
Stock_Market_Analysis_and_Prediction
Stock market price prediction is a vastly researched topic. By predicting the price of the share for the future, companies will make huge profits. Stock market prices depend on lots of factors which makes it hard to predict. Different machine learning algorithms are able to predict stock prices with good accuracy. This project aims to use stock information supplied by Google Finance, and use it for technical analysis, visualization, and prediction with different machine learning algorithms. By looking at stock market data, especially some stocks of gigantic technology and others. Used pandas to obtain stock data from Google Finance, visualized various elements of it, and lastly looked at a few ways to analyze a stock's data trends, based on its prediction.
Add-Two-Numbers
You are given two non-empty linked lists representing two non-negative integers. The digits are stored in reverse order and each of their nodes contain a single digit. Add the two numbers and return it as a linked list. You may assume the two numbers do not contain any leading zero, except the number 0 itself. Example: Input: (2 -> 4 -> 3) + (5 -> 6 -> 4) Output: 7 -> 0 -> 8 Explanation: 342 + 465 = 807.
Handshake-GraphQL
Handshake-clone with GraphQL implementation.
Morgan-And-String-Solution
This is my solution of Hackerrank problem Morgan and String
NearByCafe
An Android application that shows nearby cafes and its details on the map With search places facility with autocomplete place suggestions.
play
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