Subham Chakraborty (@subhamChakraborty23)

Top repositories

1

Youtube-transcript-summarizer

This is flask web app for youtube video's transcript summarization.
Python
2
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2

LLD_Practice

Low level design repo
C++
2
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3

NSE_Stock_Analysis_and_price_prediction_usin_XGboost

Stock price prediction and analysis using XGBoost library.
Jupyter Notebook
2
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4

subhamChakraborty23

hello
2
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5

Traffic_light_controller

Jupyter Notebook
2
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6

DSA_problems

C++
1
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7

tshirtstore

JavaScript
1
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8

react-weather-app

JavaScript
1
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9

calendarBackend

JavaScript
1
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10

Flask_ML_APP

ML web APP
HTML
1
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11

CP_question_solutions

Problem solving repo
C++
1
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12

calendarClient

JavaScript
1
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13

Movie-recommendation-model

Movie recommendation model using collaborative and content based filtering algorithm.
Jupyter Notebook
1
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14

COVID-19-analysis

I did a Exploratory data analysis of the recent covid-19 related information in india mainly using python and jupyter notebook.
Jupyter Notebook
1
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15

LiftManagementSystem

Java
1
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16

portfolio-trade-api

JavaScript
1
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17

TicTacToe

Java
1
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18

Air-Quality-Monitoring-System

This repository contains the arduino code required to program the hardware components to perform the task of collecting data from the surroundings and the uploading that data to the server dedicated for the job i.e. the AQM server .
C++
1
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19

Stock_Price_Dashboard

it is an web app dashboard to visualize stock price data and predicted price data.
Jupyter Notebook
1
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20

Djikstras-algo

Implementation of Djiktra's Algorithm using python.
Jupyter Notebook
1
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21

CPP-problems

This repository contains all the solved C++ files related to Data Structure and Algorithms.
C++
1
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22

feedforward_neuralnetwork

a simple python implementation of a feed forward neural network using adam as a gradient descent optimizer using python .
Python
1
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23

MASK_DETECTOR_PYTHON_APP

This is a python app that can detect whether a person is wearing a mask or not.
Jupyter Notebook
1
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24

Credit-card-fraud-detection-models

Credit card fraud detection models using both ML(Decission Trees,Random forest) and DL(Deep neural network) classification techniques.
Jupyter Notebook
1
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