Aspect based Sentiment Analysis using Neural Networks
Aspect based sentiment analysis using deep learning
Crime Data Analysis using R Programming
Explore how R programming can be used for in-depth crime data analysis. Learn techniques for data visualization, trend identification, and statistical analysis to gain valuable insights into crime patterns.
Temporal Event Extraction Using Machine Learning
Python demo
Fake News Detection using TF IDF and N-Gram analysis Techniques in machine learning
Fake News detection using TF IDF and N-Gram analysis Techniques in machine learning
Python demo
Anomaly Event Detection using LSTM model and CNN
Python Demo
Stock Prediction using clustering and classification model
Stock Prediction
1. Data Collection Phase:
a. We have collected real time data from nse website.
b. Any stock with NSE symbol can be given in the textbox “Enter Symbol” Ex. SBIN, HDFC, TCS, INFY
c. Press Submit button to extract real time data from 2000 to present date
d. Feature collected are Date, Symbol, Series, Prev close, Open, High, Low, Last, Close, VWAP, Volume, Turnover
e. Also shown price trend in graph
2. Prediction Phase
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a. We have applied Kmeans Clustering, we have created 3 clusters namely, Cluster0, Cluster1, Cluster2
b. Centroid plot is done for Three cluster
c. Random Forest and Decision Tree algorithm is applied in Clusters for prediction.
d. Predicted value and Real (original) values are ploted.
e. Accuracy and Error values are arrived
3. Forecast Phase
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a. Five days forecast using Decision Tree and Random forest is done.
Python Demo
Detection of Phishing Websites using machine learning framework
Python Demo
