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artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

cf-nade

A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.

char-cnn-text-classification-tensorflow

Simple Convolutional Neural Network (CNN) for sentiment classification of Chinese movie reviews.

chartify

Python library that makes it easy for data scientists to create charts.

collaborativefiltering

Implementation of Collabrative Filtering way of recommendation engine

cvscan

Your not so typical resume parser

data-analysis-with-r

Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more

data-science-45min-intros

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

datacamp-community-tutorials

Tutorials for DataCamp (www.datacamp.com)

deep-learning-with-deeplearning.ai

Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng

fastai

The fastai deep learning library, plus lessons and and tutorials

handwritten-digit-recognition-using-deep-learning

Handwritten Digit Recognition using Machine Learning and Deep Learning

keras

Deep Learning for humans

machine-learning

Content for Udacity's Machine Learning curriculum

machine-learning-notebooks

Machine Learning notebooks for refreshing concepts.

machine-learning-thinktank

Sharing solutions on real world use cases

machine-learning-with-python

Python codes for common Machine Learning Algorithms

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

medium-articles

mining-the-social-web-2nd-edition

The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)

mortgage-default-prediction-icp4d

This is a demo for the IBM Cloud Pak for Data. This project demonstrates the various capabilities of IBM Cloud Pak for Data which is an end to end analytics tool. It shows how a bank can use this demo to predict whether a customer will default a mortgage or not in the future

movie-reviews-sentiment

Used two different methods to predict the sentiment (positive or negative) of movie reviews.

multi-class-with-imbalanced-dataset-classification

Multi-class with imbalanced dataset classification

nlp-with-python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

numba_tutorial_scipy2016

Numba tutorial materials for Scipy 2016

portfolio

My professional portfolio with some of my best data science projects.

practicalmachinelearning

My ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free(as speech not free food) or open-source.

pyspark

learning how to use spark for ML projects

pyspark-and-mllib

Getting start with PySpark and MLlib

pyspark-churn-prediction

Churn Prediction with PySpark using MLlib and ML Packages