trizkynoviandy
I am enthusiastic about deepening my knowledge in the fields of data analysis and machine learning.
Banda Aceh, Indonesia
trizkynoviandy's Stars
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
FavioVazquez/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
mrdbourke/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
rushter/MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
satellite-image-deep-learning/techniques
Techniques for deep learning with satellite & aerial imagery
cxli233/FriendsDontLetFriends
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
bryandlee/animegan2-pytorch
PyTorch implementation of AnimeGANv2
GokuMohandas/mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications.
mintlify/writer
✍️ AI powered documentation writer
scikit-learn-contrib/boruta_py
Python implementations of the Boruta all-relevant feature selection method.
cuttlefishh/python-for-data-analysis
An introduction to data science using Python and Pandas with Jupyter notebooks
arnaudmiribel/streamlit-extras
Discover, try, install and share Streamlit re-usable bits we call "extras"!
cerlymarco/shap-hypetune
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
albertbup/deep-belief-network
A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
twmeggs/anfis
Python implementation of an Adaptive neuro fuzzy inference system
dataprofessor/bioinformatics_freecodecamp
Sundar0989/XuniVerse
xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
utkarsh-yadav1231/Tableau-Projects
Learnt Data Visualization and Data Analytics with Tableau by solving 3 Realistic Analytics Projects.
Abhishek-Arora/Image-Classification-Using-SVM
This application uses LIBSVM and PIL to perform image classification on a set of images.
federhub/pyGRNN
Python implementation of General Regression Neural Network (Nadaraya-Watson Estimator). A Feature Selection module based on GRNN is also provided
mjain72/Hyperparameter-tuning-in-XGBoost-using-genetic-algorithm