Lending Club Data Analysis

A compilation of Machine Learning Notebooks for beginners.

Report on the AutoKeras Network Architecture Search.

Bike sharing systems are a means of renting bicycles where the process of obtaining membership, rental, and bike return is automated via a network of kiosk locations throughout a city. Using these systems, people are able rent a bike from a one location and return it to a different place on an as-needed basis. Currently, there are over 500 bike-…

This repository contains my starter-kit for learning Data Science from scratch. The aim is to work in tiny increments, learning one or two new things with each project, as well as finding one thing that can be improved with each project. The philosophy is quantity over quality for foundational learning.

CS791: High Performance Computing and Networking, Spring 2022, E. Arslan

Interpreting coefficients and results of the following models: 1. Logistic Regression 2. Random Forest 3. AutoML (H2O)

Bike sharing demand prediction using Autogluon ML.

This repository showcases a Convolutional Neural Network (CNN) module developed on Jupyter and an AutoML module implemented on Google Cloud Platform (GCP) through VertexAI

It's all about Data's importance in shaping our modern world and driving insightful decisions.

The "Chicago Taxi Fare Prediction" project aims to develop a machine learning model using Vertex AI AutoML that can be used for taxi fare prediction in the Chicago area. The location was obtained using the Google Places API, while the distance and duration were obtained using the Google Distance Matrix API.

Honing Professional ML skills by solving Kaggle Competitions using ML tools from Google Cloud and ML Best Practices. Analyzing the Winner Solutions.

Automatically find the optimal Machine Learning model using TPOT

Helper to automate Cloud AutoML (vision) operations

This is the first project in Udacity's Machine Learning Engineer Nanodegree program.

Build end-to-end Data Science (NLP) project for Amazon's Product Review Sentiment Classification using AWS tools.