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aimalrehman92

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analysis-of-japanese-stock-market-jpx-stock-pricing-data

We have a historic data for a variety of Japanese stocks. This data analysis enables the first-hand understanding of the stock pricing dataset.

analyzing-cia-factbook-data-using-sqlite-and-python

In this project, we'll work with data from the CIA World Factbook, a compendium of statistics about all of the countries on Earth. In this guided project, we'll explore the Python SQLite workflow to explore, analyze, and visualize data from this database.

apriori-algorithm-for-association-rule-mining

A brief explanation of Apriori Algorithm for learning frequent itemsets and association rules

cardiacmri_3d_unet_pytorch

PyTorch code for 3D-UNet for Cardiac MRI scan

code-for-the-simulation-of-ldpc-codes-over-awgn-channel

This repository contains C++ simulation of LDPC codes on AWGN channel

comparison-of-machine-learning-classifiers

In this notebook, we use different Machine Learning classification algorithms and compare their performance.

exploratory-data-analysis-on-cryptocurrency-data-by-g-research-cryptocurrency

In this notebook, I perform some basic data analysis on cryptocurrency data by G-cryptocurrency to have some insights before conducting time series analysis for forecasting and prediction on returns of each one of the 14 crypto-assets.

exploring-hacker-news

Exploring Hacker News Dataset with Python Fundamentals

google-playstore-analysis

A project on comprehensive analysis of the Google Playstore Apps dataset.

hello-world

This is my first repositry on GitHub. I am new to GitHub.

implementation-of-convolutional-neural-network

We implement and study Convolutional Neural Network

information-theoretic-analysis-of-awgn-channel-with-m-ary-signaling

Information theoretic analysis (mathematical derivation and MATLAB code) for AWGN channel

ios-appstore-and-google-playstore-analysis-with-fundamental-python

This is a notebook for the first course on Python Fundamentals on 'Path to Data Scientist' on dataquest.io.

linear-regression-algorithm-on-housing-dataset

In this repository, we show the use of Linear Regression Algorithm on the Housing dataset

logistic-regression-for-classification-on-banking-note-dataset

We code 'Logistic Regression' for classification of banking notes in dataset into 'Genuine' and 'Forged'.

logistic-regression-with-synthetic-binary-dataset

multiclass-semantic-segmentation-with-u-net

Multiclass Semantic Segmentation using U-NET architecture on aerial drone imagery

optimizers-for-neural-network

A brief discussion on some of the variants of Gradient Descent for optimization.

predicting-presence-of-heart-disease-using-machine-learning-techniques

On the dataset of 13 features and 1 target variable that indicates if the heart disease is present or not, we use classification algorithms: Linear Regression, Naive Bayes Classifier, KNN Classifier in this notebook and compare them in terms of accuracy.

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

semantic-segmentation-with-unet

In one line, it is pixel-wise classification. The deep learning model we use here is UNET model designed for Biomedical Image Segmentation originally proposed in the paper entitled: U-Net: Convolutional Networks for Biomedical Image Segmentation by Olaf Ronneberger, Philipp Fischer, Thomas Brox.

spam-filter-with-naive-bayes

We build a spam filter using the Naive Bayes algorithm.

tweet-sentiment-classifier-using-k-nearest-neighbor

The goal of this project is to build a nearest-neighbor based classifier for tweet sentiment classification

vae-svhn

Variational Autoencoder Trained on SVHN dataset with weights.