rajsingh7 Goto Github PK

text-mining-and-nlp

textstat

:memo: python package to calculate readability statistics of a text object - paragraphs, sentences, articles.

tf-estimator-tutorials

This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way

tf-quant-finance

High-performance TensorFlow library for quantitative finance.

tf-stanford-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

tf2_course

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

the-coding-interview

Programming exercises, code katas and puzzles for your job interview training - or just for fun.

the-statistics-and-calculus-with-python-workshop

theanalyticsedge

Notes from the edX Course

theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

thesemicolon

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

think_r

Code and Slides for Teaching R at Bentley U

thinkbayes

Code repository for Think Bayes.

thinkbayes2

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

thinkpython

Code examples and exercise solutions from Think Python by Allen Downey, published by O'Reilly Media.

thinkpython2

LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

time-series

Awesome list and projects of Time Series

time-series-analysis

This repository contains Time series Analysis and Forecasting tutorial from Analytics Vidhya

time-series-analysis-tutorial

time-series-analysis-tutorial-1

时间序列分析教程

time-series-analysis-tutorial-from-scipy-2016

Time Series Analysis tutorial from Scipy 2016

time-series-classification-and-clustering

Time series classification and clustering code written in Python. Mostly based on the work of Dr. Eamonn Keogh at University of California Riverside

time-series-forecasting-with-python

A use-case focused tutorial for time series forecasting with python

time-series-transformers-review

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

timeseries_notebooks_collections

Jupyter Notebooks Collection for Learning Time Series Models

tips

Most commonly used git tips and tricks.

titanic-flask-app

http://gauravmodi.pythonanywhere.com : A prototype to make real-time predictions by deploying a production level Random Forest classifier on a website using Flask (a Python web framework) and Scikit-learn package.

titanic-machine-learning-from-disaster

Start here if... You're new to data science and machine learning, or looking for a simple intro to the Kaggle prediction competitions. Competition Description The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships. One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class. In this challenge, we ask you to complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy. Practice Skills Binary classification Python and R basics

topdeeplearning

A list of popular github projects related to deep learning