This project involved using Power BI to create dynamic dashboards for call center trends, developing customer retention strategies, and addressing diversity and inclusion challenges.

Starter files, final projects, and FAQ for my HTML + CSS course

Solutions and comments to assignments for 2019 Stanford's course on convolutional neural networks

☁️ A curated list of AWS certification materials: videos courses, practice exams, prep tips, etc.

A complete computer science study plan to become a software engineer.

Mini website for testing both general CS knowledge and enforce coding practice and common algorithm/data structure memorization.

Part of my daily plan for studying Python.

An Open Source Machine Learning Framework for Everyone

Probabilistic reasoning and statistical analysis in TensorFlow

Code for Tensorflow Machine Learning Cookbook

If you are looking for becoming a Mobile Web Specialist by Google, this guide will be your best friend in your journey

Quick notes about books I read

A module of independent functions to do precipitation retrievals from polarimetric radar data

A small C++ implementation of LSTM networks, focused on OCR.

My Reading Lists of Deep Learning and Natural Language Processing

MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.

IDL to Python converter.

Integrate TensorFlow with CMake projects effortlessly

We have implemented algorithms such as random forest, decision tree, gradient boosting and SVM with different kernels for prediction of "Good" or "Bad" Radar Signals

TensorFlow-based implementation of (Gaussian) Mixture Model and some other examples.

Text and supporting code for Think Stats, 2nd Edition

Text and supporting code for Modeling and Simulation in Python

Projects and Coursework for Deep Learning Specialization (deeplearning.ai)

A SVM that can predict the weather using data from https://catalog.data.gov/dataset/local-weather-archive. Received third place at the McMaster Engineering Competition 2017 (Programming Division).

Lightning flash-cell identification and nowcasting using machine learning algorithms