jvilltolentino Goto Github PK

followers: 5.0 following: 97.0 repos: 53.0 gists: 0.0

Name: Joseph Tolentino

Type: User

Bio: Electrical | Data | Teaching | AI & Stats

---------- ⚡⚡⚡ The Electrical Engineer's Journey to Data Science ⚡⚡⚡ ----------

Hello friends! Call me Xepher, I'm your friendly neighborhood programmer 👨‍💻

from Atlantis, Philippines 🔱

📝 Personal website: jvilltolentino

🎨 R & data science projects blog: Projects

🐦 Twitter: @jvilltolentino

What's up! I teach Calculus, Power Systems Engineering, and Research Methods at Western Mindanao State University. My goal is to empower our undergraduate students with critical thinking skills and a good attitude. Additionally, execute responsible research and data analysis on any output, especially those that involve electrical circuits.

A believer of self-learning and collaboration. Watch this!

I looooove time series data, its properties, transformations, and models.

What am I up to?

💻 I’m currently part of the Project Management Team of WMSU, now involved with the Project AMBIANCE of different SUCs in the PH
🤞 At the same time, leading the youth (who are currently the Math and QS Champs) of WMSU IIEE Student Chapter as their Adviser

Experience

2018 - present: College Instructor (Western Mindanao State University)
2018 - 2019 : Electrical Engineer (3DMags Architecture and Engineering Services & Guest Lecturer @ WMSU)

Education

MS (2021): Power Systems Engineering (Mapua University)
BS (2018): Electrical Engineering (Western Mindanao State University)

Data Analysis

👯 I'm interested in working with you on any projects involving statistics and artificial intelligence.
🤔 I need assistance to other programming languages and a little for R, Python, MATLAB, LaTeX, Arduino, and a little bit of C/C++.
💬 I'm happy to share my thoughts on Predictive Analytics upon request.

Joseph Tolentino's Projects

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

applied-machine-learning-in-python

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

building-nn

cit_lstm_timeseries

LSTM Model for Electric Load Forecasting

coursera

Quiz & Assignment of Coursera

coursera-deep-learning

Solutions to all quiz and all the programming assignments!!!

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

coursera-machine-learning-stanford

Machine learning-Stanford University

custom-scripts

A repository of custom scripts to be used with Sentinel Hub

datascience

Curated list of Python resources for data science.

deep-learning-based-on-generative-adversarial-and-convolutional-neural-networks-for-financial-time-s

AR LSTM Adaptative Refined Deep Learning System for Short-term Trend Forecast A Financial Perspective

deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)