Hima Rani Mathews (@HimaRaniMathews)
github

HimaRaniMathews

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  • Stars
    star
    49
  • Global Rank 346,182 (Top 12 %)
  • Followers 51
  • Following 33
  • Registered over 4 years ago
  • Most used languages
    HTML
         36.4 %
    Jupyter Notebook
         18.2 %
    Java
         18.2 %
    Python
         9.1 %
    PHP
         9.1 %
    C++
         9.1 %
  • Location 🇮🇳 India
  • Country Total Rank 44,063
  • Country Ranking
    PHP
         1,594
    Python
         3,593
    HTML
         7,805
    Java
         8,672

Top repositories

1

Vehicle-Detection-Classification-and-Counting

Project on Vehicle Detection, Classification, and Counting. Done in python using OpenCV.
Python
24
star
2

PETSWORLD-Ecommerce_Website

PetsWorld - an Ecommerce Website. Internet and Web Programming Project ,made using HTML, CSS, Javascript, Bootstrap, Mysql and PHP
PHP
7
star
3

HimaRaniMathews

This is my GitHub profile portfolio.
3
star
4

Data-Stuctures-And-Algorithms

Data Structure and Algorithm: from beginner level to advanced. #100daysofChallege
Java
3
star
5

Sentiment-Analysis

Sentiment Analysis Project is done in English and Malayalam. The objective was to find out the negative and positive comments.
Jupyter Notebook
2
star
6

Full-Stack-Development-Projects

1
star
7

100DaysOfCode

#100DaysOfCode Main Focus on MERN Stack Development, HTML, CSS, JS, JQUERY, REACTJS, NODEJS, EXPRESSJS, MongoDB
HTML
1
star
8

Mini-Projects

Mini Projects in Python and Javascript
HTML
1
star
9

HimaRaniMathews.github.io

My Portfolio Page
HTML
1
star
10

Home-Automation-System

Home Automation System : In this project we have developed three different Arduino projects, i.e., Smoke Detection System, Motion controlled LEDs and Door Lock System.
C++
1
star
11

Competative-Programming-Leetcode

Leetcode Solutions integrated by LeetHub
Java
1
star
12

THE-SPARKS-FOUNDATION-GRIPNOVEMBER21

The Sparks Foundation - Data & Business analytics Internship Tasks. TASKS : (1) Task3 : Exploratory Data Analysis- Retail (2) Task6: Prediction using Decision Tree Algorithm
Jupyter Notebook
1
star
13

Breast-Cancer-Prediciton

Prediction of Breast Cancer using ML models like Logistic Regression, Random Forest, Naive Bayes Classifier, KNN model and XGBoost. We have used Breast Cancer Wisconsin (Diagnostic) Data Set by UCI Machine Learning.
HTML
1
star