Tanveer Khan (@tkhan11)
github

tkhan11

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Top repositories

1

C5.0-in-Python

C5.0 decision tree algorithm implementation in python
Python
7
star
2

STEW-EEG-subject-identification

STEW-SI is a lightweight artificial neural network based subject’s identification framework implemented in Python with categorical feature support.
Python
5
star
3

Time-Series-Feature-Extraction-ECG

Frequency domain (Fast Fourier Transform) and time-frequency (wavelet transform) feature extraction from Electrocardiogram (ECG) data.
Jupyter Notebook
5
star
4

LSTM-VAR-for-Multivariate-Time-Series-Forecasting

Long short term memory (LSTM) and Variational-autoencoder (VAR) combined for Multivariate Time Series Forecasting
Python
4
star
5

WebApp-for-clothing-prediction

WebApp for clothing prediction
Jupyter Notebook
3
star
6

NLP-based-Text-Retrieval

Natural Language Processing Based Text Retrieval System in Python
Python
2
star
7

Big-Data-Hadoop-Project

Big Data Hadoop framework project for analysis of superstore sales data to find insights.
Java
2
star
8

tkhan11.github.io

Owner Data for Deriving Insights(D4DI)
HTML
2
star
9

Deep-learning-Sentiment-Analysis

Sentiment Analysis APP.
Python
2
star
10

Breast-Cancer-Classification

CNN model for classification of breast histology images "benign" or "malignant" using keras and TensorFlow as backend. Attained a classification accuracy of 85%.
Python
2
star
11

fashion-MNIST-CNN

In this work, author trained a CNN classifier using Keras and TensorFlow backend for prediction of fashion-items in Fashion MNIST dataset, achieving an accuracy of 92.5%.
Python
2
star
12

WebAPP

WebApp for salary prediction (https://salarypredictionwebapp.herokuapp.com/)
CSS
1
star
13

iOS-App-Object-Detection

iOS app build for object detection
Swift
1
star
14

Data-Visualization-in-Python

Data Visualization in Python
Python
1
star
15

Community-Detection-using-R-and-Python

Different community detection algorithms implementation in R and Python.
Python
1
star
16

CNN-model-for-Digit-recognition

CNN model for solving handwritten digit recognition problem on MNIST image dataset using keras and TensorFlow as backend, 99.2% accuracy attained.
Python
1
star
17

Apriori-Based-Market-Basket-Analysis

Implementation of Apriori Algorithm in Python for performing Market Basket Analysis
Python
1
star
18

Lexicon-Based-Cursive-Writing-Segmentation

Lexicon based segmentation of cursive handwritten images, and recognizing the characters using deep learning model.
Python
1
star
19

TensorFlowLiteSwift

TensorFlow Lite Swift package for iOS/iPad devices
Swift
1
star
20

fashionMNISTCNN

In this work, author trained a CNN classifier using Keras and TensorFlow backend for prediction of fashion-items in Fashion MNIST dataset, achieving an accuracy of 92.5%.
Python
1
star
21

Random-Forest-Algorithm-For-Wine-Quality-Prediction

Implementation of Random forest algorithm in python to predict the quality of wine.
Python
1
star
22

Gene-Expression-Classification

Neural network model to perform the molecular classification of cancer.
Python
1
star
23

Template-Django-Website

A Django web application for booking tables and meals in a restaurant.
JavaScript
1
star
24

Text-Classification

LSTM model for text classification problem on Drug reviews dataset using keras and TensorFlow as backend, Accuracy attained is 58.3 %.
Python
1
star
25

Dtreehub

Dtreehub is a lightweight decision tree framework for Python with categorical feature support. It covers regular decision tree algorithms: ID3, C4.5, CART, CHAID and regression tree, random forest and adaboost.
Python
1
star