Libardo1
From data to knowledge. Professional interest in #DataScience #CX #UX #IoT #BigData #PrecisionMarketing #MarketingAnalytics #Strategy #CRISPDM #Arduino
Bogotá, Colombia
Pinned Repositories
Capstone_1_CreditCardFraud
Credit Card Fraud Detection with Kaggle Dataset
dash-tsne
Dash Demo App - t-SNE Explorer:
Deep-Learning-in-Python
Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries.
P2-Investigate-a-Dataset
Udacity Data Analyst Nanodegree: Project 2-Investigate a Dataset For the final project, you will conduct your own data analysis and create a file to share that documents your findings. You should start by taking a look at your dataset and brainstorming what questions you could answer using it. Then you should use Pandas and NumPy to answer the questions you are most interested in, and create a report sharing the answers. You will not be required to use statistics or machine learning to complete this project, but you should make it clear in your communications that your findings are tentative. This project is open-ended in that we are not looking for one right answer.
Predictive-Maintenance
Optimize maintenance schedule for gas turbine
pycm
Multi-class confusion matrix library in Python
songhuiming.github.io
Libardo1's Repositories
Libardo1/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries.
Libardo1/Deep-Learning-in-Python
Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0
Libardo1/pycm
Multi-class confusion matrix library in Python
Libardo1/aas
Code to accompany Advanced Analytics with Spark from O'Reilly Media
Libardo1/credit-risk-1
predict german bank credit risk
Libardo1/Credit-Risk-Models
Illustrative Jupyter Notebook for a simple Credit Risk Model
Libardo1/DeepKalmanFilter
Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction
Libardo1/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Libardo1/iclr_2019
ICLR Reproducibility Challenge 2019
Libardo1/imputation-experiments
Time series data imputation experiments
Libardo1/info8010-deep-learning
Lectures for INFO8010 - Deep Learning, ULiège
Libardo1/keras-tuner
Hyperparameter tuning for humans
Libardo1/lottery-ticket-hypothesis
A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.
Libardo1/LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Libardo1/MediumArticles
Sample of Python codes from mathematical problems
Libardo1/OptimalPortfolio
An open source library for portfolio optimisation
Libardo1/pmdarima
A package that brings R's beloved auto.arima to Python, making an even stronger case for why Python > R for data science.
Libardo1/Project-Euler-solutions-1
Runnable code for solving Project Euler problems in Java, Python, Mathematica, Haskell.
Libardo1/Projects
Data science, NLP projects
Libardo1/PTSNet
Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation
Libardo1/pyFTS
A open source library for Fuzzy Time Series in Python
Libardo1/python-fire
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
Libardo1/rayshader
R Package for Producing and Visualizing Hillshaded Maps from Elevation Matrices, in 2D and 3D
Libardo1/Risk-Management-HW
This file is to store homework of my risk management class.
Libardo1/SALib
Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.
Libardo1/SpectralCluster
Python re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"
Libardo1/talos
Hyperparameter Optimization for Keras Models
Libardo1/tf2_course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
Libardo1/transitionMatrix
Statistical analysis and visualization of state transition phenomena
Libardo1/volatility-trading
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading