Deep Learning Nanodegree Project : To generate Simpsons TV scripts using part of the Simpsons data-set of scripts from 27 seasons.
-
Updated
Nov 15, 2019 - Jupyter Notebook
Deep Learning Nanodegree Project : To generate Simpsons TV scripts using part of the Simpsons data-set of scripts from 27 seasons.
Predicting building heating and cooling loads from it's architectural features using ML and utilizing MLflow for experiment tracking.
A multi-thread code for tuning and running several clustering algorithms.
Implement an algo trading strategy that uses machine learning to automate the trade decisions
I implement I-AutoRec (an autoencoder framework for collaborative filtering b) with Keras and tuned hyperparameters of this model using a validation set.
Memprediksi skor kredit untuk calon peminjam di Home Credit menggunakan supervised Machine Learning Model (Logistic Regression dan Decisien Tree). Bahasa pemrograman data science yang digunakan adalah Python. Berdasarkan proses data science diperoleh model terbaik adalah Logistic Rgresion dengan acuuracy dan evaluasi metrik kurang lebih 60%.
Modified gap statistic (gap-com) for regularization selection of sparse networks. This method is aimed for complex network estimation.
Dataset preprocessed, tuned and trained using Support Vector Machine
Breast Cancer Prediction
Este proyecto, desarrollado como parte del trabajo final de la carrera de Data Science de CODERHOUSE, aborda el desafío de prever la cantidad de ítems que una empresa de ventas de insumos venderá en los próximos meses.
House Price Prediction done on Bangalore House Price Dataset using Random Forest Regression with Hyper Parameter Tuning.
ReneWind operates wind farms. Unexpected turbine failures are presenting operational and financial problems. This project uses machine learning to develop a model that accurately predict component failure, which will give the firm more control over maintenance scheduling, costs and power generation.
An Interactive Web Application to classify song genres based on audio features.
Deep Learning
HYPO_RFS is an algorithm for performing exhaustive grid-search approach for tuning the hyper-parameters of Ranking Feature Selection (RFS) approaches.
classification model to classify survey responses into one of the financial health categories.
ML classification project.
WER, MER, WIL of Whisper vs Vosk vs Google transcribators comparator
Add a description, image, and links to the tuning-parameters topic page so that developers can more easily learn about it.
To associate your repository with the tuning-parameters topic, visit your repo's landing page and select "manage topics."