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courseraml

My solutions to the Programming Assignments proposed in Coursera's Machine Learning course taught by Professor Andrew Ng

cpj-421-reactor-design-models

Here lies the scripts for the three different models used as discussed in the report

cro-410

Reactor Design Course Notes, Tutorials and Simulation Jupyter Notebooks

crosslingual-nlp-amld2020

Material for the hands-on workshop in the "Applied Machine Learning Days at EPFL 2020"

crude_seasonality

Automating seasonality charts with Plotly using EIA energy data

cs-5780-machine-learning-projetcs

Projects for course CS 5780 in Cornell University

cs433

CS433: Machine Learning EPFL [Winter 2019]

cs91r

First steps toward modeling the low-carbon energy transition.

cureddrone

Data Driven Fault Diagnosis

cvw_pydatasci2

Supplementary material for Cornell CVW on "Python for Data Science - Part 2: Data Modeling and Machine Learning"

daesolver

Simple DAE solver in Python

dashboard

A collection of open source projects relevant for industrial ecology practitioners, hosted on GitHub and beyond

data

Data for ML projects

data-analysis

Data Science Using Python

data-analytics-se

Handout repository for the course "Data Analytics for Scientists and Engineers" at Purdue University.

data-analytics-with-python-nptel-moocs

CODES WRITTEN FOR NPTEL COURSE OF DATA ANALYSIS WITH PYTHON.

data-on-ion-exchange-membrane-fouling-by-humic-acid-during-electrodialysis

A jupyter notebook to visualise and analysis data on a ED pilot installation that is treating a salt solution with humic acid

data-science--cheat-sheet

Cheat Sheets

data-science-skills-practice

data_analytics_che

Repository for notes and exercises for ChBE 4745/6745 - Data Analytics for Chemical Engineers.

datascience

Various Projects from "Introduction to Data Science and Machine learning" at Cornell University

datasciencepython

common data analysis and machine learning tasks using python

dd-knn-for-bearing-fault-diagnosis

modified knn for fault classification

deep-learn-oil

Deep learning tools for predicting oil well data

deep-learning

Deep Learning Bootcamp

deep-learning-aalto-university

Aalto University course - 2019/2020

deep-learning-coursera

This repository contains the programming assignments for Deep Learning specialization courses by Andrew Ng. It deals with the following concepts. DNNs, Hyperparameter tuning, Regularization, Optimization, CNNs (LeNet5, AlexNet, VGG, ResNet, Inception Network), Transfer Learning (Neural Style Transfer), RNNs (LSTM, GRU) and Structuring Machine Learning Projects.

deep-learning-intro

For Trondheim Machine Learning Meetup

deep-learning-specialization-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

der_toolbox

Toolbox of work to support technoeconomic analysis of distributed energy resources (DERs)