GitHub / idastani7 1 Repository
Data Scientist.
idastani7/Snappfood-Persian-Sentiment-Analysis
Analysing Snappfood comments with Bidirectional LSTM (BiLSTM)
Language: Jupyter Notebook - Size: 2.87 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
idastani7/Sentiment-Analysis-LSTM-imbalanced
Using LSTM -GLove (embedding) to analyse Sentiment on severe imbalanced tweets.
Language: Jupyter Notebook - Size: 2.41 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
idastani7/Sentiment-Analysis-Roberta-Transformers
Utilizing transformers Roberta pretrained model to analyse sentiment
Language: Jupyter Notebook - Size: 2.57 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
idastani7/BBC-News-Categorization
In this notebook, I trained a model which uses embedding technique to categorize BBC news.
Language: Jupyter Notebook - Size: 1.76 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
idastani7/Clustering-Kmean-Meanshift
In this Clustering project , The goal is to try to identify clusters of passengers that have similar characteristics.
Language: Jupyter Notebook - Size: 1.65 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
idastani7/Spam-Message-Detection
In this implementation , I tried to identify spam and ham messages with Bert and I obtained %93 accuracy
Language: Jupyter Notebook - Size: 259 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
idastani7/RFM-Clustering
RFM analysis is a type of customer segmentation and behavioral targeting used to help businesses rank and segment customers based on the recency, frequency, and monetary value of a transaction
Language: Jupyter Notebook - Size: 7.15 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
idastani7/Diabetes-ML-Simple
In this short and simple project I tried to find and tune best Machine Learning model for predicting diabetes issue.
Language: Jupyter Notebook - Size: 571 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
idastani7/Heart-Attack-pipeline
I've run Mini ML project and tried my best to achieve the best score.
Language: Jupyter Notebook - Size: 481 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0