vikaskaviya

Andrew-ng-assignment-2-in-python-regularized-logistic-regression-

python implementation of andrew ng's machine learning assignment 2 (Regularized logistic regression)

Andrew-ng-machine-learning-ass.-2

python implementation of andrew ng's machine learning assignments

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

Churn-Prediction

Telecom company was losing its customers provided its users' dataset. I applied various ML algorithms, ROC curve and confusion matrix to identify users who will churn and what minimum offer to give them so they don't churn and company stays in profit.

Complaint-classification

multi-class-text-classification problem

Handwritten-digit-recognition

Enhanced the real-time accuracy of Handwritten digits recognition using various ML modules embedded with Image Processing Techniques; obtained 97.7% accuracy on MNIST Dataset using 3 layered Neural Networks.

Loan-default-prediction

This problem asks to determine whether a loan will default.

MNIST-Classification-with-NeuralNet

MNIST Handwritten Digits Classification using 3 Layer Neural Net 98.7% Accuracy

Notes-and-cheques-classifier-for-smart-ATM-camera-

Task was to build a model which can classify different Notes (dollars) and cheques from various banks for a smart ATM camera

Titanic-survivor

The job was to predict if a passenger survived the sinking Titanic or not with the help of machine learning. Majority of the task was to analyze what sorts of passengers were likely to survive the tragedy through graphs, analytics tools and ML modules.

vikaskaviya/MNIST-Classification-with-NeuralNet

MNIST Handwritten Digits Classification using 3 Layer Neural Net 98.7% Accuracy

vikaskaviya/Andrew-ng-assignment-2-in-python-regularized-logistic-regression-

python implementation of andrew ng's machine learning assignment 2 (Regularized logistic regression)

vikaskaviya/Andrew-ng-machine-learning-ass.-2

python implementation of andrew ng's machine learning assignments

vikaskaviya/awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

vikaskaviya/Churn-Prediction

Telecom company was losing its customers provided its users' dataset. I applied various ML algorithms, ROC curve and confusion matrix to identify users who will churn and what minimum offer to give them so they don't churn and company stays in profit.

vikaskaviya/Complaint-classification

multi-class-text-classification problem

vikaskaviya/Handwritten-digit-recognition

Enhanced the real-time accuracy of Handwritten digits recognition using various ML modules embedded with Image Processing Techniques; obtained 97.7% accuracy on MNIST Dataset using 3 layered Neural Networks.

vikaskaviya/Loan-default-prediction

This problem asks to determine whether a loan will default.

vikaskaviya/Notes-and-cheques-classifier-for-smart-ATM-camera-

Task was to build a model which can classify different Notes (dollars) and cheques from various banks for a smart ATM camera

vikaskaviya/Titanic-survivor

The job was to predict if a passenger survived the sinking Titanic or not with the help of machine learning. Majority of the task was to analyze what sorts of passengers were likely to survive the tragedy through graphs, analytics tools and ML modules.

vikaskaviya/awesome-project-ideas

Curated list of Machine Learning, NLP, Vision Project Ideas

vikaskaviya/Bus-Management-system

This application developed to provide a tool for the different colleges to easily maintain the college bus information. It was designed using Java and backend was made using MySql.

vikaskaviya/cleanliness-forum

vikaskaviya/coa-project

DEVELOPED AN I.S.A WHICH PERFORMS BASIC ARITHMETIC AND LOGICAL FUNCTIONS.

vikaskaviya/CourseraML

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

vikaskaviya/DeepSpell

a Deep Learning based Speller

vikaskaviya/fastText

Library for fast text representation and classification.

vikaskaviya/grammar-check

vikaskaviya/mlconvgec2018

Code and model files for the paper: "A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction" (AAAI-18).

vikaskaviya/movie-plots-by-genre

Movie plots by genre tutorial at PyData Berlin 2016

vikaskaviya/nlc

Neural Language Correction implemented on Tensorflow

vikaskaviya/project-based-learning

Curated list of project-based tutorials

vikaskaviya/smtgec2017

A statistical machine translation (SMT)-based grammatical error correction system that makes use of neural network joint models (NNJM) and and character-level SMT for spelling correction.

vikaskaviya/stanford-corenlp

Python wrapper for Stanford CoreNLP.

vikaskaviya/tensorflow

Computation using data flow graphs for scalable machine learning

vikaskaviya/web-scrapping

web scrapping using BeautifulSoup