Name: Jayesh Manani
Type: User
Company: Mercedes-Benz AG
Bio: Jayesh Manani is ML/AI Engineer provides AI software related solutions to the companies to leverage the data and turn data into opportunity.
Location: Stuttgart, Germany
Blog: jayeshmanani.github.io
Jayesh Manani's Projects
Alien Alphabet Aliens have visited earth and their alphabet is very weird. Its the same 26 letters (A to Z) but in a different order. They want your help to sort a string in the order of their alphabet. For example, aliens might use the reversed alphabet of "zyxwvutsrqponmlkjihgfedcba" so when they sort "abc", it becomes "cba" and when they sort "apple" it becomes "pplea". When sorted capital/lowercase letters, the capital letters always come first (e.g. "camelCasE" -> "smlEeCcaa"). You will write a program that reads 2 lines from standard input - the first line is the alien's alphabet (letters a-z, all lowercase) and the second line is the string the aliens want you to sort. Your program will output the sorted string. Examples are provided below. Example 1 input abcdefghijklmnopqrstuvwxyz cyxbza output abcxyz Example 2 input zyxwvutsrqponmlkjihgfedcba cyxbza output zyxcba Example 3 input wvutsrqponmlkjihgfedcbaxyz camelCasE output smlEeCcaa
Smart contract Application Learning
Repository for the CMake exercise of the SSE lecture
This project is part of the Specialisation for Data Science (IBM).
Repository for the CPack exercise of the SSE lecture
Parallel computing with task scheduling
This repository contains all the data visualisation techniques applied for various visualisation and find some useful insight using libraries like Matplotlib and Seaborn and use of some other python libraries.
In this notebook, we will use scikit-learn to perform a decision tree based classification of weather data. The file daily_weather.csv is a comma-separated file that contains weather data. This data comes from a weather station located in San Diego, California. The weather station is equipped with sensors that capture weather-related measurements such as air temperature, air pressure, and relative humidity. Data was collected for a period of three years, from September 2011 to September 2014, to ensure that sufficient data for different seasons and weather conditions is captured. Let's now check all the columns in the data.
This is the demo flask app, which is just to demonstrate the deployment on the Gcloud App Engine (GAE).
Exercise 27 Oct 2022, Deadline 3 Nov 2022
This repo is about building a demo application using the DJango framework, sqlite3 database.
for the exercise work of the Simulation-Software-Engineering lecture of Git
This is to implement the knowledge learned from Coursera as exercise.
Google Sheets Python API
Google IT Automation with Python Professional Certificate - Practice files
Personal Portfolio
Material for the Simulation Software Engineering Lecture
In this repository I have demonstrated the Linear Regression on the Boston Housing Price Dataset By use of Sci-kit learn library of Python.
Here in this repo I have demonstrated the implementation of the various machine learning algorithms which are used which some examples.
Here in this project I have written the code for Merge two CSV files and generate the third one as output using python library pandas Dataframe mainly.
This repository consist of the code related to the natural language processing projects.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
This contains simple programs of C++ Programming language. Named Random Coin Toss.
This repo consist of some code using python libraries for completing some of the tasks. NSEpy and other libraries like pandas are used mainly.