Gunank Sood (@gunanksood)
github

gunanksood

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  • Stars
    star
    37
  • Global Rank 421,862 (Top 15 %)
  • Followers 9
  • Following 19
  • Registered about 8 years ago
  • Most used languages
    Jupyter Notebook
         44.4 %
    Python
         40.7 %
    HTML
         11.1 %
    C
         3.7 %
  • Location 🇮🇳 India
  • Country Total Rank 15,223
  • Country Ranking
    C
         1,749
    Jupyter Notebook
         2,975
    Python
         7,006
    HTML
         9,785

Top repositories

1

C-Codes

Any Data Structure and Algorithm Implementation in C Language.
C
5
star
2

Django-celery-boilerplate

This repo contains a simple django, celery and redis setup with celery beat and celery flower configured.
3
star
3

Data-Science_blogpost

https://medium.com/@gunanksood1222/mostly-used-programming-language-by-developers-in-india-3631ec567ce4
Jupyter Notebook
2
star
4

ImageClassifier-app

HTML
1
star
5

Amazon_Food_reviews_Classification

Classification of Amazon food Reviews using Scikit Learn
Jupyter Notebook
1
star
6

MultiLabelTextClassification

Jupyter Notebook
1
star
7

csv-generator

Python code to generate a csv file with specified rows.
Python
1
star
8

Disaster_Response_Pipeline

Data and Machine Learning Pipeline for a project
Python
1
star
9

Dog-breed-Classifier

This Project Contains a dog breed classifier based on Convolutional Neural Network and Transfer learning.
HTML
1
star
10

gunanksood.github.io

1
star
11

Titanic-ML-

Solution of Titanic Problem on kaggle
Python
1
star
12

ImageCompressor

Image Compressor in python
Python
1
star
13

WebScrapingWithPython

This repository contains approaches to get data from a web page using webscraping in Python.
Python
1
star
14

MachineLearning-Python

Solution of some real world Machine Learning Problems using Python
Jupyter Notebook
1
star
15

consumer_pika

Python
1
star
16

CustomerSegmentationUsing_RFM

To find your Best Customer I have explored a bit of Customer Segmentation using RFM.
Jupyter Notebook
1
star
17

FruitClassifier_ClassificationProblem

The main goal is to identify the machine learning algorithm that is best-suited for the problem at hand.
Jupyter Notebook
1
star
18

flaskApp-server

Python
1
star
19

rabbitmq

Python
1
star
20

flask-server2

Python
1
star
21

IrisFlowerClassification

Solved a very Popular Machine learning problem Iris flower classification using K nearest Neighbor algorithm implementation in python.
Python
1
star
22

LinearRegression_PredictingHomePrices

Using Linear Regression predicting the Bay Area Home Prices
Jupyter Notebook
1
star
23

Sparkify-ML_Pipeline

A feature engineering pipeline and ML model using PySpark
Jupyter Notebook
1
star
24

Recommendation-Engine

This Repo contains implementation of Recommendation Engine based on Content Based and Collaborative based filtering.
Jupyter Notebook
1
star
25

NeuralNetwork

A basic implementation of neural network with scikit learn implementation.
Python
1
star
26

PredictEmployeeTurnover

Jupyter Notebook
1
star
27

Message_Spam_Detector

Flask app Detects entered message is spam or not. Using Naive Bayes approach.
HTML
1
star
28

Spark-SanFranciscoCrimeClassification

Jupyter Notebook
1
star
29

Binary-Classification

Implementation of Binary Classification on Bank Data which Predicts whether Client will Subscribe for Term Deposit or not. Using Logistic Regression and Done over-sampling using SMOTE and used Recursive Feature Elimination.
Jupyter Notebook
1
star