Bhargav Venkat

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Grade 10 | Points: 55565 | Rank: 1

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Classes completed

251

Quizzes submitted

239

Projects submitted

248

Hackathons

HackYoung Olympiad 2024

Hosted by: Codingal

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CodeGenius Hackathon

Hosted by: Codingal

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CodeGenius Hackathon

Hosted by: Codingal

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HPE CodeWars 2024 Hackathon

Hosted by: Hewlett Packard Enterprise

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Indian Institute of Science Junior Code Clash 2023

Hosted by: Indian Institute of Science, Bangalore

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HPE CodeWars 2023 Hackathon

Hosted by: Hewlett Packard Enterprise

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Coding contests

IOI Algorithms Preparation Guide

Hosted by: Codingal

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HPE CodeWars 2023 Code Battle

Hosted by: Hewlett Packard Enterprise

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Codewars All Practice Problems 2023

Hosted by: Codingal

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CodeWars 2021 - All past problems

Hosted by: Codingal

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Cypher

Hosted by: Seth Anandram Jaipuria School Ghaziabad

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Coding Challenge Practice Arena

Hosted by: Codingal

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Activities

Multiple linear regression

Write a program to understand the example of multiple linear regression of petrol consumption data.

Gradient Descent function

Write a program to understand the example of a simple gradient descent function.

Regression analysis

Write a program to understand the example of a simple regression code for the dataset of points available

Regression analysis

Write a program to understand the example of a simple regression code for the dataset of points available

The Output Classifier

Write a program to export datasets from sklearn and perform classification on it.

Data preprocessing

A simple titanic dataset is given to you; follow the steps accordingly, from uploading the data to processing it.

Projects

Full Implementation of regression analysis

Students have to implement the regression analysis model using gradient descent and plot the graph accordingly.

Data Classification.

Students have to create a classification set after preprocessing the dataset given.

Regression analysis with plot.

Students have to create a regression plot, find the given small dataset, and find the mean square error and the R^2 for the same.

Regression analysis

Students have to create a regression plot for the dataset given.

Exploring Machine Learning.

Students have to create a document for the given question in the document about machine learning.

Data preprocessing

Students have to work on two datasets of Cricket information- “matches” “deliveries.” They are being asked to preprocess the data according to the information they have studied from lesson 2(NOTE- Preprocessing means dropping unwanted columns and negotiating all the null values)