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Tag Archives: fun

A simple “click” that create LDA topic models for text mining A python library I wrote --available with "pip install easyLDA"

If you have Python and a collection of texts in a file, simply as “pip install easyLDA”, then in shell run $ easyLDA, won’t be long before your topic model ready.

fun, LDA, package, python, text mining, topic model

deep learning, jupyter notebook, machine learning, project, Python, text mining, topic modeling, vitualization

Posted on February 13, 2018

Sentiment Analysis model deployed!

I’ve trained a sentiment analysis on simple data set:

Amazon Reviews: Unlocked Mobile Phones

based on the amazon phone purchase reviews. Simple linear SVM classifier using scikit-learn. The code is down below, please scroll down

Yet I’ve successful deployed the model on an AWS server! original deployment page

Model building

Continue Reading →

Posted on April 17, 2017

tensorflow -2 Neural Network with L2 reg, dropout, decay learning rate, early stopping

fun, learning, tensorflow, tensorflow neural network dropout decay learning rate

deep learning, jupyter notebook, machine learning, Python, tensorflow

Posted on April 16, 2017

What do people say about iphone? LDA topic models built by amazon phone purchased views

Built topic models from the data Amazon Reviews: Unlocked Mobile Phones,

Positive : Here’s 5 star ratings say, 20 topics version

Continue Reading →

Posted on April 15, 2017

Tensorflow beginning -1 build a classifier step by step

fun, tensorflow, tensorflow python tutorial model network nomnist mnist fun

deep learning, jupyter notebook, machine learning, practice, Python, tensorflow

Posted on April 14, 2017

Manipulate database -2 SQLAlchemy PostgreSQL, filtering, grouping, aggregating funcs To Pandas DataFrame and plotting with matplotlib and seaborn

SQLAlchemy connecting to PostgreSQL,

filtering,

grouping, aggregating funcs

To Pandas DataFrame

and plotting with matplotlib and seaborn

database, fun, learning, sqlachemy

data cleasing, data retrieve, database, jupyter notebook, Python, vitualization

Posted on February 18, 2017

unsupervised learning-3 Dimension reduction: PCA, tf-idf, sparse matrix, twitter posts clustering Intrinsic dimension, text mining, Word frequency arrays, csr_matrix, TruncatedSVD

Dimension reduction: PCA, Intrinsic dimension

tf-idf, Word frequency arrays

sparse matrix, csr_matrix, TruncatedSVD

fun, pca, text mining, tf-idf

data cleasing, jupyter notebook, Python, statistic, text mining, unsupervised learning

Posted on February 18, 2017

unsupervised learning-2 Visualizing hierarchies

A hierarchy of groups

The dendrogram of a hierarchical clustering

Hierarchical clustering with SciPy

Distance between clusters

Extracting cluster labels

t-SNE for 2-dimensional maps

fun, graphs, learning

jupyter notebook, Python, unsupervised learning, vitualization

Posted on February 17, 2017

unsupervised learning -1 k-means clustering, Cross tabulation, Inertia, PCA, StandardScaler, Pipline

k-means clustering,

Cross tabulation,

Inertia,

PCA,

StandardScaler,

Pipline

fun, learning, Machine Learning

data cleasing, jupyter notebook, Python, unsupervised learning

Posted on February 16, 2017

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Richard Ji

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