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altair_notebooks

Tutorial and Examples Jupyter Notebooks for Altair

anomalydetector

Samples for the Anomaly Detection API documentation:

apache-hadoop-3.1.0-winutils

HADOOP 3.1.0 winutils

awesome-artificial-intelligence-guidelines

This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

awesome-compose

Awesome Docker Compose samples

bayesian-statistics-coursera

Bayesian Statistics: From Concept to Data Analysis by University of California, Santa Cruz

bigdata-notebook

chat-gpt-jupyter-extension

A browser extension that lets you chat with ChatGPT from any local Jupyter notebook.

chatbot_notebooks

chia-blockchain

Chia blockchain python implementation (full node, farmer, harvester, timelord, and wallet)

cimspark

Spark access to Common Information Model (CIM) files

cloc

cloc counts blank lines, comment lines, and physical lines of source code in many programming languages.

conventional_power_plants

Data package: conventional power plants

copilot.vim

Neovim plugin for GitHub Copilot

coursera-exploratory-data-analysis-course-project-1

Plotting Assignment 1 for Exploratory Data Analysis

darts

A python library for user-friendly forecasting and anomaly detection on time series.

dask

Parallel computing with task scheduling

data-analysis-and-visualizations-dashboards-using-power-bi

Data Analysis and Visualizations Dashboards Using Power BI

data-analysis-for-absolute-beginners

First course of the Data Analysis Professional Program, Data Analysis: A Practical Approach for Absolute Beginners

data-preprocessing

Data preprocessing is a data mining technique that involves transforming raw data into an understandable format.

data-science

A collection of neat and practical data science and machine learning projects

data-science-blog

Collection of code/examples used in my blog posts on Medium and LinkedIn

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

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-scientist-books

Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and Statistics, and more.)

data-visualization-analysis-and-rnn-lstm-model-for-hourly-energy-consumption-

Data Visualization, Analysis and RNN LSTM model for Hourly Energy Consumption

data-visualization-with-python

This repository contains all the jupyter notebooks and the final peer graded assignment for the course - "Data Visualization with Python" offered by Coursera

datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

dataset

This is from all dataset repository

deep-learning-resources

A curated list of deep learning resources books, courses, papers, libraries, conferences, sample code, and many more.