andy's repositories
kamranahmedse.github.io
Jekyll based blog for andyblaa
Machine-Learning-Links-And-Lessons-Learned
List of all the lessons learned, best practices, and links from my time studying machine learning
awesome-azure
A Curated List of Azure Resources. The list provides you with enough resources to get a full overview of the services in Azure and get started with cloud computing.
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
bqplot
Plotting library for IPython/Jupyter Notebooks
Calculator
Python calculator with tkinter GUI
CloudComparer
Compare the various managed cloud services offered by the major public cloud providers in the market.
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.
databookshelf
a library of cleaned, straight-forward, short and meaningful datasets to use for teaching learners
DataScienceCapstone_Oct2017
This is the winning submission for the Oct. 2017 Data Science Capstone challenge hosted by DrivenData for the Microsoft Professional Data Science curriculum on EdX
datasciencevision.com
Code base for my gatsby based blog
Exploratory-Data-Analysis-with-python
Exploratory Data Analysis
Exploratory_Data_Analysis_Visualization_Python
Data analysis and visualization with PyData ecosystem: Pandas, Matplotlib Numpy, and Seaborn
flask-hello
Hello World on Flask Application
hackernews-react-graphql
Hacker News clone rewritten with universal JavaScript, using React and GraphQL.
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
jupyter_examples
Jupyter Examples
jupyter_on_github
An analysis of all 1.3 million public Jupyter Notebooks on Github in July 2017
learning
A list of videos, playlists, blog posts, papers, books, etc. that I have learned from and still intend to learn from.
Machine-Learning-Workflow-with-Python
This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
mlviz
Visualizations of machine learning algorithms
mnist
Python utilities to download and parse the MNIST dataset
node-hello
Hello World for Node.js
online-python-training
Repo for materials associated with the Online Python Training (OPT) project
python-sample-vscode-flask-tutorial
Sample code for the Flask tutorial in the VS Code documentation
textbook
The textbook Computational and Inferentinal Thinking: The Foundations of Data Science
voila-gallery-country-indicators
Using voila with matplotlib example