Muhammad Fahmi's starred repositories
Jenis-Kelamin
Memprediksi jenis kelamin dari nama bahasa Indonesia menggunakan Machine Learning.
responsive-portfolio-complete
Responsive Personal Complete Portfolio website
Restaurant_sentiment_analysis_webapp
used html,bootstrap,python,ML algorithm and flask framework
website-tweet-classification-using-flask
gui for Indonesian movie sentiment classification from tweets using CNN and word2vec
Web-Aplikasi-Keras-Model-LIPI
Web aplikasi untuk menjalankan CNN model untuk sentiment analysis.
Sentiment-Predictor-CNN
Deep learning model trained on IMDB dataset to predict sentence sentiment, with around 89% accuracy. Ready for deployment on Heroku with Flask.
Sentiment-Analysis
Self made project on sentiment analysis using LSTM, Naive Bayes and Random Forest and deploy the model using flask.
SMS-Message-Spam-Detector
A simple Flask API to detect spam or ham using Python and Sklearn
SentimenAnalisisCitraDPR
Sebuah model menggunakan algoritma Naive Bayes dan K-NN dalam memprediksikan citra DPR ke dalam label positif dan negatif menggunakan bahasa Python
sentimen-analisis-tokopedia-multinomial-naive-bayes-TFIDF
Ini adalah program yang saya buat di Jupyter Notebook untuk melakukan klasifikasi data tweet di sosial media Twitter menggunakan algoritma Multinomial Naive Bayes
twitter-sentiment-analysis
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
Analisis-Sentimen-Kebijakan-Vaksinasi-COVID-19-Pemerintah_Naive-Bayes-Classifier
Analisis sentimen masyarakat Indonesia terhadap kebijakan pemerintah mengenai vaksin COVID-19.
TweetSentiment
Django web application that uses a Naive Bayes classifier to determine the sentiment of text and tweets.
Twitter-Sentiment-Analysis-with-Django-UI
Twitter Sentiment analysis classified the tweets either positive or negative on the basis of previous datasets. The classification was done by using a naive Bayes classifier. Every day on Twitter million of users tweet their views, so it helps to classify all these tweets. We used Python for the programming language and Django framework for UI.
customer-segmentation-using-k-means
This is a demonstration of k-means algorithm on customer data of a mall (also known as customer segmentation).
segmentation
Simple Customer Segmentation Using Recency/Monetary Matrix (RFM) in Python
Simple-Calculator-Web-app
A simple calculator application using HTML, CSS, Javascript. Replication of the same using Django.
TextClassificationTensorFlowCNN
Let us look at how we can implement text classification with Tensorflow https://www.tensorflow.org/ TensorFlow is an end-to-end open source platform for machine learning. The dataset is from the Tweet Sentiment Extraction challenge from Kaggle(https://www.kaggle.com/c/tweet-sentiment-extraction/overview) We would implement text classification using a simple convolutional network developed using Tensorflow on tweet data to classify tweets as "positive","negative" or "neutral"
cnn-text-classification
Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0
PortFolio_Website
Complete Portfolio Website with Bootstrap - HTML/CSS In this project, we are going to learn and build how to create a complete portfolio website with bootstrap using HTML and CSS. We will understand everything from scratch.
pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
dataset-idsa
Indonesia Sentiment Analysis Dataset
Twitter-Sentiment-Analysis-and-Tweet-Extraction
Tweet sentiment analysis using various deep learning algorithms ranging from MLP, CNN, RNN to Transformers
ML_Assignment_8_IMDB
Modify the neural net architecture (the Keras layers) and the hyperparameters (including the optimizer, regularization, etc.) for each of the following Jupyter notebookes then report to me the best accuracy you obtained for each and either describe or include the code for the specific choices that yielded your best accuracies for each: (1) fashion-MLP, (2) fashion-CNN, (3) IMDB_sentiment_RNN
analisis-sentimen-indonesia
Repository ini berisi kode pemrograman analisis sentimen Bahasa Indonesia menggunakan Python beserta dengan dataset berita ekonomi yang digunakan.