Name: Shayan Ali Bhatti
Type: User
Bio: M.S. in Electrical Engineering, machine learning enthusiast, love software projects. Actively looking for a career in Machine Learning and Data Science.
Location: United States of America
Blog: linkedin.com/in/shayan-ali-bhatti/
Shayan Ali Bhatti's Projects
In this repository, I used the Boston Crime Dataset to analyze different statistics using the dataset. Seaborn library was used for plotting.
Code Repo for API course in Fullstack ND
In this repository, I implemented a proof of concept of all my theoretical knowledge of neural network to code a simple neural network for XOR logic function from scratch without using any machine learning library
In this app, I demonstrate how to design a Weather Forecast App that downloads weather forecast data from OpenWeatherMap using REST API and stores data in MongoDB for analysis. The weather forecast data is then shown on Google Map for each city.
In this repository, I implemented Gradient Boosting Trees using XGBoost to predict customer churn. The "Churn-modeling" dataset was downloaded from Kaggle.
In this project, I extend the implementation of a Tweet/Sentence Sentiment Classification to a "Depression Assistant Chatbot". This software asks the users how they are feeling and if what they write expresses sadness of anger then they are greeted with jokes until they feel better.
In this code, a simple implementation of PDF to audio converter is shown
In this repository, a simple application of Edge computing is shown to detect human pose or text or car type/color from an image using Intel's OpenVINO Toolkit
This repository shows how to classify EMG data coming from Myo Armband using neural networks and interface a 3d printed robotic hand to imitate the classified movement
In this project, I implemented Convolutional Neural Networks on images of melspectrogram of sound files.
In this project, I created a Avocado Price prediction model using the Avocado price dataset from Kaggle. LSTM is used for prediction model.
In this project, I implemented LSTM model to predict hourly Bike Share Demand
In this repository, I used UCI's Occupancy Detection dataset to predict room occupancy prediction using logistic regression.
In this repository, I present a retail store item detector using YOLOv5
In this Python repository, I sorted data using multiple processors via MPI4PY library.
In this project, i trained a 2 input xor function using neural network with keras library
In this project i read a large Tweet dataset and clean each tweet then use Stemming and using bag of words model, feed each tweet to single layer neural network for classification.
In this repository, a simple implementation of Video augmentation is provided to augment videos for machine learning training tasks.
YOLOv5 in PyTorch > ONNX > CoreML > iOS