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👋 Hello there! I'm Arbaz

Currently Leading Tech at Lineupx

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GitHub Streak
  • 🏢  I'm currently working at Lineupx
  • 💬  I like to talk about React, NextJS, JavaScript, Nodejs, AI/ML, Digital Ocean, AWS, GCP and DevOps
  • 📫  Ask me about anything, I am happy to help :)
  • 💻  Connect with me on LinkedIn
  • 🐦  Let's talk more in Twitter

Favorite Tech

Tools, languages, and other things that I like to work with.

My Skills

Arbaz's github activity graph

Arbaz Khan's Dev Card

Arbaz's Projects

air-line-passenger-prediction-using-lstm-rnn icon air-line-passenger-prediction-using-lstm-rnn

In this part i have implement Artificial Neural Networks and conduct in and out-of-sample predictions on our time series using the Python programming language. More specifically,I build a Multilayer Perceptron as well as a Long-Short-Term-Memory (LSTM) networks using keras with tensorflow backend to predict the number of international airline passengers and compare the results by the mean squared error criterion.

allennlp icon allennlp

An open-source NLP research library, built on PyTorch.

boston-house-price-prediction icon boston-house-price-prediction

In this project, i had applied basic machine learning concepts on data collected for housing prices in the Boston, Massachusetts area to predict the selling price of a new home.I had first explored the data to obtain important features and descriptive statistics about the dataset. Next, i had properly split the data into testing and training subsets, and determine a suitable performance metric for this problem.I had then analyze performance graphs for a learning algorithm with varying parameters and training set sizes. Finally, i had tested this optimal model on a new sample and compare the predicted selling price to my statistics

candis icon candis

:ribbon: A data mining suite for gene expression data.

chatbot icon chatbot

ChatBot based on a Insurance Banking Bot to Human User question-answering system.

classification-of-ionosphere-dataset-using-ann icon classification-of-ionosphere-dataset-using-ann

in this dataset i had classified radar returns from the ionosphere as either suitable for further analysis or not. This time-consuming task has typically required human intervention. I tested several different feedforward neural networks to investigate the effects of network type Classification of radar returns from the ionosphere using neural networks.

cltk icon cltk

The Classical Language Toolkit

clustering-wines-based-on-its-different-properties icon clustering-wines-based-on-its-different-properties

i had used a Wine data set to cluster different types of wines and reduced various parameter of wines using various dimesion reduction techniques. This data set contains the results of a chemical analysis of wines grown in a specific area of Italy.

co-learning-lounge icon co-learning-lounge

Welcome to the one point community-driven encyclopedia for anything in technology.

coala icon coala

coala provides a unified command-line interface for linting and fixing all your code, regardless of the programming languages you use.

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