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.

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.

Demo of PySpark and Jupyter Notebook with the Jupyter Docker Stacks

Blog Post Notebooks

Families In the WIld: A Kinship Recogntion Toolbox.

Big Data Docker Data Science Spark Spark3 Hadoop HDFS Scala Python Artificial Intelligence Machine Learning Jupyter Lab Notebook

This repo contains my learnings and practice notebooks on Spark using PySpark (Python Language API on Spark). All the notebooks in the repo can be used as template code for most of the ML algorithms and can be built upon it for more complex problems.

汐洛彖夲肜矩阵（Sillot T☳Converbenk Matrix），致力于服务智慧新彖乄

A lightweight helper utility which allows developers to do interactive pipeline development by having a unified source code for both DLT run and Non-DLT interactive notebook run.

Notebooks of "Scala for Data Science" learning path on Cognitive Class

A collection of iPython notebooks exploring topics in Big Data

📓 A series of Jupyter notebooks to experiment with big data

Gallery of Apache Zeppelin notebooks using Enth-Spark-AI.

Project for the Big Data Computing course at the University of "La Sapienza" in Master in Computer Science A.A. 2021/2022

📔 3D conjugate heat transfer

Data science encompasses a wide range of areas, topics, and sub-domains such as Big Data, Machine & Deep learning (ETL, TensorFlow, Keras), Data Mining/Visualization (EDA), BI, Predictive Analytics, Statistical Analytics, etc.

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