sandy4321 Goto Github PK

thesis-3

My Harvard undergraduate thesis on certifiably optimal rule lists

thesis-emotionrecognition

Example codes for my PhD work on recognizing dimensional emotions in spoken dialogue

thief

Temporal HIErarchical Forecasting

thinc

🔮 spaCy's Machine Learning library for NLP in Python

thinkbayes

Code repository for Think Bayes.

thinkbayes2

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

thinkdsp

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

thinkpython

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

thinkstats-examples

Worked examples for exercises in Think Stats using the Scientific Python stack.

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

thirdbit

The Third Bit website

thompsonsampling

Source code for blog post on Thompson Sampling

three-level-nested-variance-components-analysis2

Three level nested variance components analysis simulation of balanced or unbalanced and base plot and VCA plot

thunder

scalable analysis of images and time series

tiamat

Pymongo tutorial with NOAA metadata records

tidy-data-python

Tidy Data in Python Jupyter Notebook

tidyr

Easily tidy data with spread and gather functions.

tier_bid

Bidding system using SOV data

tigris

Download and use Census TIGER/Line shapefiles in R

tii

tiirec

A tensor approach for tag-driven item recommendation.

til

time-dependant-rnn-embeddings-keras

Implementation an RNN time-embedding layer from "Time-Dependent Representation for Neural Event Sequence Prediction" paper

time-out-new-york-mlc

Recommender system project using Twitter and Foursquare data

time-series

Web Traffic Time Series Analysis and Forecasting

time-series-analysis

code and data for the time series analysis vids on my YouTube channel

time-series-based-sales-forecasting-for-beer

Beer national sales forecasting

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-deep-learning-kaggle

Web Traffic Time Series Forecasting

time-series-eda-and-forecast

In this section, I begin with the excel file of sales data, which I obtained from the Tableau Community Forum. As a recall, the data contains mostly categorical variables and components of the vectors from the description column. The index column is a timeseries format. The major objective of this section is to understand the general trends in the data, and gain some quick insights, and then predict and forcast the Sales of the category "Technology" of the given sales data.The statistical significance of these observations will be also tested in 'Exploratory Data Analysis'.