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Stock-Price-Prediction-LSTM
In this project, I have tried to predict the stock price of Microsoft using LSTMrasa_ml_bot
Heart-Disease-Prediction-Using-Machine-Learning-Ensemble
Detection_of_Malicious_URLs
In this project, we have detected the malicious URLs using lexical features and boosted machine learning algorithmsbank_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.foreign-exchange-prediction-using-deep-learning
Udacity-MLND-Capstone-Gold-Price-Prediction
Capstone Project Gold Price Prediction using Machine learning Approach for Udacity Machine Learning engineer Nanodegree Programfake-news-classifier
This repository contains different machine learning and deep learning approaches for detection of fake news from headlinesEarly-stage-diabetes-prediction-using-Machine-Learning
Skin_Cancer_Detection_Transfer_Learning
housing_price_prediction_king_county_USA
In this project, I have predicted Housing sales price prices for King County,USA which includes Seattle. It includes homes sold between May 2014 and May 2015. It has 19 house features plus the price and the id columns, along with 21613 observations. In this project I have done the implementation of different Boosting regression machine learning models such as Gradient Boosting, eXtreme Gradient Boosting (XGB) and Adaboost. In this project, I have also used Permutation Importance for filtering the irrelevant features of the dataset. In this project, I have predicted Housing sales price prices for King County,USA which includes Seattle. It includes homes sold between May 2014 and May 2015. It has 19 house features plus the price and the id columns, along with 21613 observations. In this project I have done the implementation of different Boosting regression machine learning models such as Gradient Boosting, eXtreme Gradient Boosting (XGB) and Adaboost. In this project, I have also used Permutation Importance for filtering the irrelevant features of the dataset. Maximum Accuracy achieved around 98.59%.machine_learning_my_projects
Machine LearningTopic-modeling
Named-Entity-Recognizer-Deep-Learning-and-SPACY
restaurant-chatbot
kidney-diagnosis-app
skin_cancer_detection_webapp
heart_risk_prediction_spark_automl
Timeseries_prediction
This repository is a collection of timeseries projectsdetecting-corona-using-Modified-Xceptionet
Detecting of COVID-19 induced Pneumonia in Chest X-ray Images using using Modified XceptionNetrasa_project_git
bangalore-housing
boston_housing
In this project, we will evaluate the performance and predictive power of a model that has been trained and tested on data collected from homes in suburbs of Boston, Massachusetts.text_summarizer_through_url
In this repo I have implemented text summarization from websites url using NLTK using sentence scores.dog_project
Apache-Spark-Tutorial
This is the repository for Apache Spark Projects from data handling to MLlibNaive-Bayes-SMS_SPAM_CLASSIFIER
In this project I have implemented a Naive Bayes Classifier to predict whether SMS is spam or hamcorona-webapp
malicious_url_scanner
text_summ_app
bang-housing
Patient_Condition_Classification_Using_Drug_reviews
In this project, we have classified patient condition using drug reviews datasetLove Open Source and this site? Check out how you can help us