Spam-Classifier

Public

A Natural Language Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like multinomial-naive-bayes,logistic regression,svm,decision trees to compare accuracy and using various data cleaning and processing techniques like PorterStemmer,CountVectorizer,TFIDF Vetorizer,WordnetLemmatizer. It is implemented using LSTM and Word Embeddings to gain accuracy of 97.84%.

bag-of-words count-vectorizer decision-tree-classifier embeddings logistic-regression lstm-neural-networks multinomial-naive-bayes naive-bayes-classifier porter-stemmer sms-spam-detection

Creat：2020-05-27T02:12:20

Update：2021-10-09T15:33:46

Stars

Stars Increase

Related projects

100 Days Of ML Code

100-days-of-code-log

100 Days of ML Coding

47951

5个月前

+43today

Awesome Cto

architecture

A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups

31415

4个月前

+10today

Algorithms

adjacency

A collection of algorithms and data structures

18126

5个月前

+4today

LightGBM

data-mining

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

17486

7年前

+22today

Nsfw_data_scraper

content-moderation

Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

12459

4个月前

G6

data-visualization

? A Graph Visualization Framework in JavaScript.

11639

4个月前

+5today

Statsmodels

count-model

Statsmodels: statistical modeling and econometrics in Python

10862

4个月前

+7today

Catboost

big-data

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

8512

4个月前

+1today