Pinned Repositories
bank_fin_embedding
This repository consists of customized word embedding focused on banking and finance terms which will be helpful in analyzing and classifying financial sentiments or stock price sentiment analysis.
corona-webapp
detecting-corona-using-Modified-Xceptionet
Detecting of COVID-19 induced Pneumonia in Chest X-ray Images using using Modified XceptionNet
Detection_of_Malicious_URLs
In this project, we have detected the malicious URLs using lexical features and boosted machine learning algorithms
fake-news-classifier
This repository contains different machine learning and deep learning approaches for detection of fake news from headlines
Heart-Disease-Prediction-Using-Machine-Learning-Ensemble
malaria-detection-app
Web app for Malaria detection from the human blood sample images which is trained on National Library of Medicine dataset using Flask and Python.
rasa_ml_bot
Stock-Price-Prediction-LSTM
In this project, I have tried to predict the stock price of Microsoft using LSTM
Udacity-MLND-Capstone-Gold-Price-Prediction
Capstone Project Gold Price Prediction using Machine learning Approach for Udacity Machine Learning engineer Nanodegree Program
sid321axn's Repositories
sid321axn/Naive-Bayes-SMS_SPAM_CLASSIFIER
In this project I have implemented a Naive Bayes Classifier to predict whether SMS is spam or ham
sid321axn/alexa_review_analysis
In this project , I have implemented Random Forest Classifier based Sentiment Analysis of Amazon's product Alexa reviews based on the reviews collected from around 10000 people.
sid321axn/alexa_sentiment
In this project I ahve developed a machine learning model to classify Amazon's product Alexa's Reviews collected from 10000 realtime customers of amazon to be positive or negative. Based on the customers reviews who have purchased the product, I have classified the reviews into positive or negative based on the sentiments showing in their reviews (Sentiment Analysis).
sid321axn/alexa_sentiment_analysis
In this project , I have implemented Random Forest Classifier based Sentiment Analysis of Amazon's product Alexa reviews based on the reviews collected from around 10000 people. Based on the customers reviews who have purchased the product, I have classified the reviews into positive or negative based on the sentiments showing in their reviews
sid321axn/Loan-Defaulter-Prediction-Machine-Learning
Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost
sid321axn/nlp-datasets
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
sid321axn/python-3-playlist
Course files for the Python 3 tutorial series from The Net Ninja YouTube channel
sid321axn/sentiment_analysis
In this project , I have implemented Random Forest Classifier based Sentiment Analysis of Amazon's product Alexa.
sid321axn/tankala.github.io
sid321axn/udacity-predicting-boston-housing-price
Udacity course project