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

Implement 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 (Gi…

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) …

GRIP the spark foundation task 5 - Social media integration

TSF task 1 data science. Predict the percentage of an student based on the no. of study hours

This repository contains the tasks for the Data Science and Business Analytics Intern at The Sparks Foundation.

Implement 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. Pos…

Implement 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 lin…

TSF internship task 1. Creating the application which perform basic banking transaction.

This repository contains the tasks for the Data Science and Analytics Intern at The Sparks Foundation.

# 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 h…

Implement 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 G…

This repository contains the tasks for the Data Science and Business Analytics Intern at The Sparks Foundation.

TSF Task 6. testing website using selenium

Implement 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 Yo…

Graduate Rotational Internship Program - The Sparks Foundation - Web and Mobile App Development

Predicting the percentage of a student based on the no. of study hours