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/Artificial-Neural-Networks
Churn model Prediction for bank customers
Libardo1/cloud-opensource-python
Dependency Management Toolkit for Google Cloud Python Projects
Libardo1/Consumer-Behavior-Analytics-1
Libardo1/dataspice
:hot_pepper: Create lightweight schema.org descriptions of dataset
Libardo1/deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
Libardo1/DeepLearningPython35
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
Libardo1/ETC3550Slides
Slides for a forecasting course based on fpp2
Libardo1/forecasting_experiments
Experiments on forecasting using dynamic ensembles
Libardo1/ForecastingWorkshop
Slides for 3-day forecasting workshop
Libardo1/Fraud_Detection
Libardo1/Galaxy-Classification-using-CNN
Libardo1/GeneticAlgorithmsRepo
Genetic Algorithm Packages for Python.
Libardo1/German-Credit-Risk-1
Libardo1/german_credit_risk
German Credit Risk Classification
Libardo1/h2o-3
Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)
Libardo1/HAR-using-Keras
Comparing accuracy of two standard deep learning models like CNN and RNN on the human activity recognition dataset
Libardo1/home-credit-default-risk-1
Default risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline
Libardo1/HPMA115S0
Arduino Library for Honeywell's Particle Sensor (HPMA115S0-XXX)
Libardo1/hts
Hierarchical and Grouped Time Series
Libardo1/kaggle-DSG18-qualifier
Libardo1/Kaggle_Projects
Collection of my Kaggle Projects works
Libardo1/NYUTandonBridge2018
:computer: NYU Tandon School of Engineering Files :computer:
Libardo1/PortalData
Official Repo of the Portal Project Data
Libardo1/Project2
Libardo1/roomba
General purpose API response tidier
Libardo1/sa_financial
A short course on survival analysis applied to the financial industry
Libardo1/sales-forecast
Comparison and evaluation of six forecasting methods for predicting monthly time series retail sales data.
Libardo1/storybenchR
Tutorials for storybench.org
Libardo1/toolsmith_R
R code for information security analysis and action
Libardo1/workshops
Bioconnector Workshops