Arbaz's Projects
ACM-ICPC Preparation Guide
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.
An open-source NLP research library, built on PyTorch.
This repo includes ChatGPT prompt curation to use ChatGPT better.
List of OSS contributors willing to help others with their first pull requests!
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
Codes to be submitted for the break the server contest by CC.
:ribbon: A data mining suite for gene expression data.
ChatBot based on a Insurance Banking Bot to Human User question-answering system.
A repository of 60 useful data science prompts for ChatGPT
In this project i had built cnn model for object recognition on famous dataset cifr
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.
I had implemented every classifier algorithm right from logistic regression to ensemble learning algorithm and ann too
I have used ann for pima indian classifcation along with all the other supervised learning classification algorithm
In this project I had implemented Convolutional Neural Network to classify images as either cat or dog. Written in python with keras
classifying whether sms is spam or ham using nlp and naive bayes classifier
:cloud: CloudCV Website
The Classical Language Toolkit
clustering and segmenting customers based on salary and spending score by using kmeans and heirarchel clustering
For this project, i had attempted to use KMeans Clustering to cluster Universities into to two groups, Private and Public.
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.
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coala provides a unified command-line interface for linting and fixing all your code, regardless of the programming languages you use.