Shendy Boenyamin's repositories
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
Boston_Regression
test sklearn with Boston datasets
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Data-Science-Learning-Material
This is github repositories for all data science material I feel important. I would update it daily.
EasyOCR
Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai
fastbook
The fastai book, published as Jupyter Notebooks
God-Level-Data-Science-ML-Full-Stack
A collection of scientific methods, processes, algorithms, and systems to build stories & models. This roadmap contains 16 Chapters, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI
JC-DS-04-BSD
Modul 1: Python Fundamental JC-Data Science 04 BSD
ML_Sklearn_LogisticRegression
Basic Machine Learning using Sklearn: 〽 Logistic Regression
pandas-profiling
Create HTML profiling reports from pandas DataFrame objects
pandas_exercises
Practice your pandas skills!
Python
All Algorithms implemented in Python
react-material-admin
☄️React Material Admin is a React template built with Material-UI
streamlit
Streamlit — The fastest way to build data apps in Python
Streamlit_DataScience_Apps
Streamlit Data Science and ML Apps in Python
TabPy
Execute Python code on the fly and display results in Tableau visualizations: