Pinned Repositories
100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
aa-ga-compare
RMarkdown script for comparing core metrics for a web site that has both Adobe Analytics and Google Analytics implemented on it.
abtesting
Repo of AB Testing Material
aerosolve
A machine learning package built for humans.
agency-loan-level
Loan-level analysis of Fannie Mae and Freddie Mac data
AINano
Repository for the course on AI at Udacity
Autoencoder
This repo contains Autoencoder code
deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
FantasyFootballAnalyticsR
R scripts and data files for the Fantasy Football Analytics website
nycdsa_project_5_recommender
Python
amit-dingare's Repositories
amit-dingare/flask-boilerplate
Boilerplate template for a Python Flask application with Flask-SQLAlchemy, Flask-WTF, Fabric, Coverage, and Bootstrap
amit-dingare/numpy_exercises
Numpy exercises.
amit-dingare/tidy-data-python
Tidy Data in Python Jupyter Notebook
amit-dingare/PythonDataScienceHandbook
Jupyter Notebooks for the Python Data Science Handbook
amit-dingare/Springboard-Capstone
amit-dingare/Springboard_Foundations_of_DS-Course
Repository for Springboard Foundations of Data Science course
amit-dingare/aa-ga-compare
RMarkdown script for comparing core metrics for a web site that has both Adobe Analytics and Google Analytics implemented on it.
amit-dingare/MLAlgorithms
Minimal and clean examples of machine learning algorithms
amit-dingare/pydata-dc-2016-tutorial
Tutorial: Machine Learning with Text in scikit-learn
amit-dingare/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning in python.
amit-dingare/DailyCalHousingAnalysis
amit-dingare/polls
amit-dingare/Ratings-from-review--Yelp-data
amit-dingare/springboard-Alexander
amit-dingare/altair_widgets
Interactive data exploration with Altair
amit-dingare/twitter-user-classification
Twitter user classification tutorial at PyCon France 2016
amit-dingare/movie-plots-by-genre
Movie plots by genre tutorial at PyData Berlin 2016
amit-dingare/databricks-spark-training
amit-dingare/content-engine
A very simple content-based recommendation engine. Great for learning, but also ready for real-world use.
amit-dingare/og-aws
📙 Amazon Web Services — a practical guide
amit-dingare/winerama-recommender-tutorial
A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.
amit-dingare/machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
amit-dingare/python-reference
Python Quick Reference
amit-dingare/bayesAB
bayesAB: Fast Bayesian Methods for AB Testing
amit-dingare/Doing-frequentist-statistics-with-Scipy
Repository for the PyData DC 2016 tutorial
amit-dingare/modern-nlp-in-python
amit-dingare/dask-pydata-dc-2016
Dask tutorial for PyData DC 2016
amit-dingare/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
amit-dingare/NoteBooks-Statistics-and-MachineLearning
http://unsupervised-learning.com
amit-dingare/awesome-courses
:books: List of awesome university courses for learning Computer Science!