kb22
Working with Python, R, Machine Learning and Deep Learning to explore the field of Data Science and Machine Learning.
New York
Pinned Repositories
Color-Identification-using-Machine-Learning
This project explores colors in various images and then enables the user to query the images based on a given color.
Create-Face-Data-from-Images
This project involves using OpenCV's trained Face Detection Neural Network to detect faces in various images and extract them either as separate images or create boxes around faces.
GitHub-User-Insights-using-API
The project involves using the GitHub API using user authentication to fetch information such as commits and repositories for that specific user and store them as CSV files for data collection and analysis.
Heart-Disease-Prediction
The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.
ML-React-App-Template
This is a template for creating a Machine Learning application with its front-end developed using React which interacts with a Flask service as the back-end and makes predictions.
Twitter-Sentiment-Analysis
This project develops a deep learning model that trains on 1.6 million tweets for sentiment analysis to classify any new tweet as either being positive or negative.
Understanding-Flask-and-Flask-RESTPlus
This project explores the usage of Flask and Flask-RESTPlus in developing a Python service to host any application as well as exploring APIs (and Swagger UI).
Understanding-Numpy
This repository explores various Numpy commands which are quite useful for working with datasets and handling array operations.
Used-Car-Price-Prediction
I'll use various machine learning algorithms to predict the price of used cars.
Web-Scraping-using-Python
This project scrapes Wikipedia for its articles using BeautifulSoup to create a dataset and then draws analysis on the collected data.
kb22's Repositories
kb22/ML-React-App-Template
This is a template for creating a Machine Learning application with its front-end developed using React which interacts with a Flask service as the back-end and makes predictions.
kb22/Heart-Disease-Prediction
The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.
kb22/Color-Identification-using-Machine-Learning
This project explores colors in various images and then enables the user to query the images based on a given color.
kb22/Web-Scraping-using-Python
This project scrapes Wikipedia for its articles using BeautifulSoup to create a dataset and then draws analysis on the collected data.
kb22/Create-Face-Data-from-Images
This project involves using OpenCV's trained Face Detection Neural Network to detect faces in various images and extract them either as separate images or create boxes around faces.
kb22/Understanding-Flask-and-Flask-RESTPlus
This project explores the usage of Flask and Flask-RESTPlus in developing a Python service to host any application as well as exploring APIs (and Swagger UI).
kb22/GitHub-User-Insights-using-API
The project involves using the GitHub API using user authentication to fetch information such as commits and repositories for that specific user and store them as CSV files for data collection and analysis.
kb22/Twitter-Sentiment-Analysis
This project develops a deep learning model that trains on 1.6 million tweets for sentiment analysis to classify any new tweet as either being positive or negative.
kb22/Used-Car-Price-Prediction
I'll use various machine learning algorithms to predict the price of used cars.
kb22/Create-dataset-using-API
This project uses the Twitch API to extract data about various channels and creates a dataset from the collected information which can be used for further data analysis.
kb22/Purchasing-Intention-Prediction
The project trains an Artificial Neural Network which can predict whether a visitor will generate revenue for the company or not.
kb22/Income-Predictor
The project deals with using Machine Learning on Census Income dataset to predict if income is above or below $50K per annum.
kb22/ML-Performance-Evaluation
This repository includes analysis of classification results based on Receiver Operating Characteristic (ROC) Curve and Cumulative Accuracy Profile (CAP) Curves.
kb22/Coursera_Capstone
This capstone project is part of the Applied Data Science Capstone course on Coursera that explores the Foursquare and Zomato API together to explore venues in Chandigarh, India based on ratings and price ranges.
kb22/Plot-Maps-in-Python
This data visualization project explores various libraries including gmplot, GeoPandas, Plotly and Bokeh to plot locations on maps using the latitude and longitude values.
kb22/Article-Recommender
This Python project develops a LDA model which trains on various Wikipedia articles based on a keyword and then suggests Wikipedia articles based on a search query.
kb22/NASA-data-exploration
The repository includes detailed steps to get data from GES DISC, convert HDF5 files to CSV and plotting geographic data.
kb22/python-notebooks
The repository includes an array of Python notebooks which describe several useful methods and tricks in Python.
kb22/Deep-Learning-A-Z-Coursework
This repository hosts all the deep learning models developed as part of the Deep Learning A-Z course on Udemy.
kb22/Visualization-using-Matplotlib
This repository explores various visualizations that can be drawn using Matplotlib library which are easy to get started with.
kb22/Face-Detection-using-OpenCV
This project introduces two Python scripts which uses OpenCV's trained Face Detection Neural Network to detect faces from images and videos.
kb22/Medical-Appointment-No-Show-Prediction
A repository where I work with both R and Python to predict whether someone would show up for a medical appointment or not.
kb22/kb22.github.io
My portfolio website designed using HTML, CSS, and JavaScript on GitHub Pages to highlight my projects, and my work.
kb22/Digit-Recognition-with-Parameter-Tuning
This project develops a digit recognizer machine learning model and identifies the best model parameters using GridSearchCV.
kb22/geo-plotting
This repository shows two very elegant ways to plot geomaps.
kb22/Understanding-Seaborn
In this repository, I work with a Jupyter notebook that highlights some of the key plots in Seaborn library to get started with.
kb22/CSCI_6360_Parallel_K_Means
The repository includes the code for serial and parallel K Means using CUDA and MPI for Image Compression.
kb22/Malaria-Cell-Identifier-using-CNN
This project trains a Convolutional Neural Network (CNN) using Keras that can identify Malaria cells with a test accuracy of more than 96%.
kb22/Machine-Learning-A-Z-CourseWork
This repository hosts all the machine learning models developed as part of the Machine Learning A-Z course on Udemy.
kb22/ML-Resources
A repository to hold important resources for ML (useful for reference, revision and learning).