wannabeds Goto Github PK

absenteeism_data_analysis

My analysis on the absenteeeism dataset. Do check it out, and I am open to discussions and views.

applied-deep-learning-with-keras

Deep Learning examples with Keras.

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-nlg

A curated list of resources dedicated to Natural Language Generation (NLG)

convolutional_neural_network

This is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube

data

Data and code behind the articles and graphics at FiveThirtyEight

data-science-in-python

datascienceresources

Open Source Data Science Resources.

deep-neural-networks-healthcare

Tangible and Practical Deep Learning Projects Repository for Healthcare such as Cancer, Drug Discovery, Genomic and More

ds-for-telco

Source material for Data Science for Telecom Tutorial at Strata Singapore 2015

flutter-beginners-tutorial

All course files for the Flutter Beginners playlist on The Net Ninja YouTube channel.

go

The Open Source Data Science Masters

gramex-nlg

Natural Language Generation for Gramex applications.

hdbscan

A high performance implementation of HDBSCAN clustering.

hello-world

Newbie into coding

importantpylinks

Inportant Python learning links

india-census-2011-analysis

india-rain-map

Plotting district wise rainfall for India for all the 12 months

introduction-to-linear-programming

Introduction to Linear Programming with Python

learn

FOR LEARNING

lsa_classification

Text classification example in Python using Latent Semantic Analysis (LSA)

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

ml0120en

All notebooks and solved exercises from BigDataUniversity - Deep Learning with Tensor Flow Course.

natural-language-summary-generation-from-structured-data

Implementation of the paper -> https://arxiv.org/abs/1709.00155. For converting information present in the form of structured data into natural language text

nlp-text-mining-working-examples

Full working examples with accompanying dataset for Text Mining and NLP. Current code base: Gensim Word2Vec, Phrase Embeddings, Keyword Extraction with TF-IDF and SKlearn, Word Count with PySpark

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pycon2017-optimizing-pandas

Materials for PyCon 2017 presentation on optimizing Pandas code