Topic: thesparksfoundation Goto Github
Some thing interesting about thesparksfoundation
Some thing interesting about thesparksfoundation
thesparksfoundation,A dynamic banking web application to transfer money to users.
User: abdulhussainjarif
Home Page: https://karotransfer.netlify.app/
thesparksfoundation,Basic Banking App: Create a simple mobile app which has the following specs. β Start with creating dummy data in mobile (sqlite) database for upto 10 users. User table will have basic fields such as name, email, current balance etc. Transfers table will record all transfers happened. β Flow: Home Screen > View all Customers> Select and View one Customer> Transfer Money> Select customer to transfer to > View all Customers. β No Login Page. No Customer Creation. Only transfer of money between multiple customers . β Upload video demo of your application on youtube and submit the url.
User: akshaysrivatsvijayaraghavan
thesparksfoundation,CI/CD CLOUD COMPUTING: Read up about AWS or Azure. β Write up about the steps of setup and essentials of AWS EC2 or Azure VM (one page step by step). β Create an EC2 or azure VM instance and access it through ssh from your pc over internet. β In the EC2, deploy and run any application (a website with tomcat/spring boot) or python based project. β Use at least one service apart from EC2 or VM, i.e. Database service, or MQ, ML, Mobile or any other services provided by AWS or Azure. β Submit the URL of the application which is running on EC2.
User: akshaysrivatsvijayaraghavan
thesparksfoundation,Implement an image color detector which identifies all the colors in an image or video. β Below resources are just for references you can use any library/approach to achieve the goal. β Resources: link1 β Task submission: 1. Host the code on GitHub Repository (public). Record the code and output in a video. Post the video on YouTube 2. Share links of code (GitHub) and video (YouTube) as a post on YOUR LinkedIn profile 3. Submit the LinkedIn link in Task Submission Form when shared with you. 4. Please read FAQs on how to submit the tasks.
User: akshaysrivatsvijayaraghavan
thesparksfoundation,Implement a real time face mask detector. β Below resources are just for references you can use any library/approach to achieve the goal. β Resources: link1 link2 β Task submission: 1. Host the code on GitHub Repository (public). Record the code and output in a video. Post the video on YouTube 2. Share links of code (GitHub) and video (YouTube) as a post on YOUR LinkedIn profile 3. Submit the LinkedIn link in Task Submission Form when shared with you. 4. Please read FAQs on how to submit the tasks.
User: akshaysrivatsvijayaraghavan
thesparksfoundation,Implement a Fault Detection System which, detects and eliminates the faulty products based on the shape/colour. β Please go through the below link for more understanding β Resources: link1 β Task submission: 1. Host the code on GitHub Repository (public). Record the code and output in a video. Post the video on YouTube 2. Share links of code (GitHub) and video (YouTube) as a post on YOUR LinkedIn profile 3. Submit the LinkedIn link in Task Submission Form when shared with you. 4. Please read FAQs on how to submit the tasks.
User: akshaysrivatsvijayaraghavan
thesparksfoundation,From the given βIrisβ dataset, predict the optimum number of clusters and represent it visually.
User: akshaysrivatsvijayaraghavan
thesparksfoundation,Implement a real time Social Distancing detector which can identify the distance between two individuals in a crowd. β Below resources are just for references you can use any library/approach to achieve the goal. β Resources: link1 link2 β Task submission: 1. Host the code on GitHub Repository (public). Record the code and output in a video. Post the video on YouTube 2. Share links of code (GitHub) and video (YouTube) as a post on YOUR LinkedIn profile 3. Submit the LinkedIn link in Task Submission Form when shared with you. 4. Please read FAQs on how to submit the tasks.
User: akshaysrivatsvijayaraghavan
thesparksfoundation,Create a hybrid model for stock price/performance prediction using numerical analysis of historical stock prices, and sentimental analysis of news headlines, Stock to analyze and predict - SENSEX (S&P BSE SENSEX) Download historical stock prices from finance.yahoo.com Download textual (news) data from https://bit.ly/36fFPI6 Use either R or Python, or both for separate analysis and then combine the findings to create a hybrid model You are free to select a different stock to analyze and news dataset as well while not changing the objective of the task.
User: akshaysrivatsvijayaraghavan
thesparksfoundation,Create a storyboard showing spread of Covid-19 cases in your country or any region (Asia, Europe, BRICS etc) using Tableau, Power BI or SAP, Use animation, timeline and annotations to create attractive and interactive dashboards and story Identify interesting patterns and possible reasons helping Covid-19 spread with basic as well as advanced charts Screen-record the completed storyboard along with your audio explaining the charts and giving recommendations. Dataset: Daily updated .csv file on https://bit.ly/30d2gdi
User: akshaysrivatsvijayaraghavan
thesparksfoundation,LinkedIn - https://www.linkedin.com/in/allan-sasi/
User: allansasi
thesparksfoundation,Task-1 (Predict the percentage score of an student based on the no. of study hours)
User: ashish-singh97
thesparksfoundation,
User: ashutoshkrris
Home Page: https://tsfbankk.herokuapp.com
thesparksfoundation,About This app was developed to complete Task #5 of the Graduate Rotational Internship Program (GRIP) by The Sparks Foundation.
User: basudev2806
thesparksfoundation,Graduate Rotational Internship Program by The Sparks Foundation. During this Internship, I have worked on projects related to Prediction using Supervised and Unsupervised Machine Learning.
User: danieljosephraj
thesparksfoundation,It contains the task assigned me for my internship, the task was very simple, I just had to predict the marks of students using Machine Learning, it was very easy.
User: ddhruv-iot
Home Page: https://lnkd.in/eyQKDW6
thesparksfoundation,The Sparks Foundation Internship for Data Science/Analytics.
User: devrc1234
thesparksfoundation,This Repository is dedicated to the completion of my Task with video from The Sparks Foundation (Graduate Rotational Internship Program).
User: dhhruv
thesparksfoundation,π€ Computer Vision & IoT Internship Jan21 π¦
User: eagleanurag
Home Page: https://www.thesparksfoundationsingapore.org/
thesparksfoundation,GRIPMAY'21 Task2- Prredict Iris flower species(iris-sesota,iris-versicolor and iris-virginica) with K-means Clustering using Python.
User: ela-creator
thesparksfoundation,Predict the percentage of a student based on the no. of study hours.
User: harsh0706
thesparksfoundation,Data Science and Business Analytics Task-1 (Predict the percentage of an student based on the no. of study hours).
User: himanshu0221
thesparksfoundation,This repository contains all the task which I have performed under "The Sparks Foundation" as a data science & business analytics Intern. π
User: itssuru
thesparksfoundation,Internship projects of The Sparks Foundation
User: jainil-coder
thesparksfoundation,Creating the Decision Tree classifier and visualizing it graphically.
User: jaladhisonagara
thesparksfoundation,GRIP - Graduate Rotational Internship Program
User: jyotipandey-11
thesparksfoundation,A basic banking system which will just transfer money between multiple customers.
User: kevalshahhh
thesparksfoundation,A simple website where payment gateway is integrated.
User: kevalshahhh
thesparksfoundation,The Sparks Foundation Data Science and Business Analytics Internship Tasks.
User: krapakarthik09
thesparksfoundation,βExploratory Data Analysisβ on dataset βIndian Premier Leagueβ . Find out the most successful teams, players and factors contributing win or loss of a team. Suggest teams or players a company should endorse for its products.
User: krishnabansaal
thesparksfoundation,Data Science and Business Analytics Task-1 (Predict the percentage of an student based on the no. of study hours)
User: krishnabansaal
thesparksfoundation,Task1: Prediction using Supervised ML
User: manjesh2022
thesparksfoundation,GRIP the spark foundation task 5 - Social media integration
User: nehapatil3071
Home Page: https://github.com/nehapatil3071/spark_foundation_task_5
thesparksfoundation,This app is made to complete Social Media Integration (Task #5) for Graduate Rotational Internship Program at The Sparks Foundation. This app's functionality is to display UserName, Email ID and Profile picture when a user logs in the app through G-Mail or Facebook.
User: nithesharavind22
thesparksfoundation,GRIP - Graduate Rotational Internship Program
User: praggatii
Home Page: https://www.thesparksfoundationsingapore.org/
thesparksfoundation,This is an internship task of web development intern under GRIP MAY 2021 of The Sparks Foundation Company.
User: pratyush-gautam
Home Page: https://pratyush-gautam.github.io/BasicBankingSystem/
thesparksfoundation,Tasks Assigned to me for this WFH internship via TheSparksFoundation.
User: ps1899
thesparksfoundation,
User: rit-hub
Home Page: https://bank-spark.web.app/
thesparksfoundation,The Spark Foundation Internship in the domain of Data Science & Business Analytics
User: rit-mesh
thesparksfoundation,This app was developed to complete Task #5 of the Graduate Rotational Internship Program (GRIP) by The Sparks Foundation.
User: souravpaswan
thesparksfoundation,TSF internship task 2 data science.From the given βIrisβ dataset, predict the optimum number of clusters and represent it visually
User: subramanyaks
thesparksfoundation,TSF internship task 1. Creating the application which perform basic banking transaction.
User: subramanyaks
Home Page: https://basicfundapp.000webhostapp.com
thesparksfoundation,These are the tasks provided by The Sparks Foundation for the #GRIPNOV20 for Data Analysis internship.
User: tapaswini98
thesparksfoundation,This app is developed to complete Task #5 of the Graduate Rotational Internship Program (GRIP) by The Sparks Foundation.
User: thepranaygupta
thesparksfoundation,The Sparks Foundation Internship Project - Payment Gateway Integration #Task2
User: vaishnvee-shinde
Home Page: https://donatepayment-gateway-integration.000webhostapp.com/
thesparksfoundation,Task: Prediction using Supervised ML - Predicting the percentage of a student based on the no. of hours studied using a simple linear regression model. Dataset available at http://bit.ly/w-data. Tools used: Python, Jupyter Notebook
User: vidhikhatwani
thesparksfoundation,GRIP@ | Sparks Foundation | web development internship | Task-1 | Basic Banking system
User: vishva2003
Home Page: https://visgo-banking.netlify.app
thesparksfoundation,Basic Banking System
User: wadermanasi
Home Page: https://manasiwader.000webhostapp.com/index.php
thesparksfoundation,This is a repository for my internship task at TSF.
User: you-sha
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