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AkshaysrivatsVijayaraghavan / Detection-of-Face-Mask
Implement a real time face mask detector. ● Below resources are just for references you can use any library/approach to achieve the goal. ● Resources: link1 link2 ● 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.
Language:Python 1Implement a Fault Detection System which, detects and eliminates the faulty products based on the shape/colour. ● Please go through the below link for more understanding ● Resources: link1 ● 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.
Language:Jupyter Notebook 1vidhikhatwani / prediction-using-supervised-ML-task1-TSF
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
Language:Jupyter Notebook 1Implement an image color detector which identifies all the colors in an image or video. ● Below resources are just for references you can use any library/approach to achieve the goal. ● Resources: link1 ● 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.
Language:Jupyter Notebook 0- Language:Jupyter Notebook 0
ash-deol / SLR-No.-of-Study-Hours
# Problem Statement ### 1. Predict the percentage of an student based on thr no. of study hours. ### 2. This is a simple linear regression task as it involves just 2 variables. ### 3. You can use R, Python, SAS Enterprise Miner or any other tool. ### 4. What will be predicted score if a student studies for 9.25 hrs/day? ### Data can be found at http://bit.ly/w-data
Language:Jupyter Notebook 0ganeshvarmak / The-Sparks-Foundation-Tasks
This repository contains the tasks for the Data Science and Analytics Intern at The Sparks Foundation.
Language:Jupyter Notebook 0pavanprudhvi02 / The-Sparks-Foundation-Tasks
This repository contains the tasks for the Data Science and Business Analytics Intern at The Sparks Foundation.
Language:Jupyter Notebook 0- Language:Jupyter Notebook 0
ramyaaprasath / Basic-Banking-System
Graduate Rotational Internship Program - The Sparks Foundation - Web and Mobile App Development
Language:CSS 0shahvishrut9 / Supervised-Learning-based-on-ML
Predicting the percentage of a student based on the no. of study hours
Language:Jupyter Notebook 0- Language:Jupyter Notebook 0
vvsndattasailingam / The-Sparks-Foundation-Internship
This repository contains the tasks for the Data Science and Business Analytics Intern at The Sparks Foundation.
Language:Jupyter Notebook 0Implement an object detector which identifies the classes of the objects in an image or video. OR ● Character detector which extracts printed or handwritten text from an image or video. ● Below resources are just for references you can use any library/approach to achieve the goal. ● Resources: link1 link2 ● 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.
Language:PythonImplement a real time Social Distancing detector which can identify the distance between two individuals in a crowd. ❖ Below resources are just for references you can use any library/approach to achieve the goal. ❖ Resources: link1 link2 ❖ 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.
Language:PythonImplement a real time traffic sign classifier which identifies the traffic sign and gives an alert. ● Below resources are just for references you can use any library/approach to achieve the goal. ● Resources: link1 link2 ● 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.
Language:PythonSubramanyaKS / Task-1-Data-Science
TSF task 1 data science. Predict the percentage of an student based on the no. of study hours
Language:Jupyter NotebookTSF Task 6. testing website using selenium
Language:JavaTSF internship task 1. Creating the application which perform basic banking transaction.
Language:PHPGRIP the spark foundation task 5 - Social media integration
Language:Java
