Search result for Text classification Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 98 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Applied AI with DeepLearning
by Romeo Kienzler , Niketan Pansare , Tom Hanlon , Max Pumperla , Ilja Rasin- 4.4
-
![]()
![]()
![]()
![]()
![]()
Approx. 24 hours to complete
Image classification with Imagenet and Resnet50 Text Classification with Word Embeddings Sequence Classification with Keras LSTM Network Image Classification Text Classification with IBM Watson Natural Language Classifier...
Complete DataScience with Python and Tensorflow
by Nishant Srivastava- 3.9
-
![]()
![]()
![]()
![]()
![]()
11 hours on-demand video
Learn about machine learning, deep learning, text analytics using python and tensorflow This course is for anyone who is interested in machine learning, deep learning and text analytics. Learn about basics of machine learning : supervised/ unsupervised, regression/ classification, metrics used for regression and classification Learn how to handle text data. Build a text classification Model...
$11.99
Web Applications from Scratch with Streamlit
by Rosario Moscato- 0.0
-
![]()
![]()
![]()
![]()
![]()
7 hours on-demand video
Build and Deploy your Web Apps from Scratch with the incredible Streamlit! Seat with me and start CODING TOGETHER! Let's build and publish Web Applications together from SCRATCH! Sometimes the best way to learn is not study tons of pages but start doing things together with experts. As First BONUS Lesson a CRASH COURSE about Streamlit basic features....
$12.99
Deep Learning: Recurrent Neural Networks in Python
by Lazy Programmer Inc.- 4.6
-
![]()
![]()
![]()
![]()
![]()
12 hours on-demand video
Neural networks for classification and regression (just a review to get you warmed up!) How to model text data for NLP (including preprocessing steps for text) How to build a Text Classification RNN for NLP (examples: spam detection, sentiment analysis, parts-of-speech tagging, named entity recognition)...
$17.99
New in Big Data: Hive, HiveMall, AWS Lambda, Solr, Kibana
by Elena Akhmatova- 3.4
-
![]()
![]()
![]()
![]()
![]()
2.5 hours on-demand video
This course focuses on Text Classification when presenting HiveMall. The course shows data processing with Hive (also teaching how to write User Defined Functions for Hive of different levels of complexity: UDF, GenericUDF, UDAF and UDTF), it shows an application of Machine Learning to Text Classification using HiveMall, and then exporting data from Hive to Solr & Hue or ElasticSearch & Kibana....
$9.99
Data Science:Data Mining & Natural Language Processing in R
by Minerva Singh- 4.5
-
![]()
![]()
![]()
![]()
![]()
13 hours on-demand video
MASTER DATA SCIENCE, TEXT MINING AND NATURAL LANGUAGE PROCESSING IN R: We will also cover data mining, web-scraping, text mining and natural language processing along with mining social media sites like Twitter and Facebook for text data. Neural Networks for Classification and Regression...
$12.99
From 0 to 1: Learn Python Programming - Easy as Pie
by Loony Corn- 3.8
-
![]()
![]()
![]()
![]()
![]()
10.5 hours on-demand video
On-demand, generate a report with a time-series for a given stock tickerDrill #3: Scrape a news article URL and auto-summarize into 3 sentencesDrill #4: Scrape newspapers and a blog and apply several machine learning techniques - classification and clustering to these...
$12.99
Related searches
Text Mining and Natural Language Processing in R
by Minerva Singh- 4.3
-
![]()
![]()
![]()
![]()
![]()
8.5 hours on-demand video
Web-Scraping using RExtracting text data from Twitter and Facebook using APIsExtract and clean data from the FourSquare appExploratory data analysis of textual dataCommon Natural Language Processing techniques such as sentiment analysis and topic modellingImplement machine learning techniques such as clustering, regression and classification on textual dataNetwork analysis...
$15.99
Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 34 hours to complete
This course should be taken after Introduction to Data Science in Python and Applied Plotting, Charting & Data Representation in Python and before Applied Text Mining in Python and Applied Social Analysis in Python. K-Nearest Neighbors Classification K-Nearest Neighbors: Classification and Regression Multi-Class Classification...
Fundamentals of Machine Learning for Healthcare
by Matthew LungrenTop Instructor , Serena YeungTop Instructor- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 12 hours to complete
Representing Unstructured Image and Text Data Learn about advanced neural network architectures for tasks ranging from text classification to object detection and segmentation....
Previous
