General Assembly's 2015 Data Science course in Washington, DC

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Visualizer for pandas data structures

edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab

Compilation of R and Python programming codes on the Data Professor YouTube channel.

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

For extensive instructor led learning

Resources for weekly Data Science Lunch & Learns

What Twitter reveals about the differences between cities and the monoculture of the Bay Area

A collection of notebooks of my Machine Learning class written in python 3

Material for my PyData Jupyter & Pandas Workshops, I'm also available for personal in-house trainings on request

daru-view is for easy and interactive plotting in web application & IRuby notebook. daru-view is a plugin gem to the existing daru gem.

📢 Ready to learn or review your knowledge!

Visualize and compare datasets, target values and associations, with one line of code.

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.