With the covid-19 coming in, not only the world economy has suffered, every sector say it political, social, religious of most countries have been affected. Can we mitigate this affect by predicting it its impact early?
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With the covid-19 coming in, not only the world economy has suffered, every sector say it political, social, religious of most countries have been affected. Can we mitigate this affect by predicting it its impact early?
May 2, 2020
Sentiment Analysis using Deep Learning techniques with India Elections 2019 — A Case study
Predict BJP Congress Sentiment using Deep Learning Motivation India’s most anticipated events of 2019 — General Elections of Lok Sabha is knocking our doors! The prominent parties standing for the elections, party leaders and representatives have a busy schedule organizing campaigns and convincing people to vote. While the media is busy capturing all events starting from press conferences to any gatherings, and putting it in front of public, the public is deeply engrossed with latest […]
SecureSVM, Boosting, Bagging, Clustering, LSTM, CNN, GAN Introduction In continuation to my previous blogs, “Traditional vs Deep Learning in Retail Industry” and “Deep Learning Vs Deep Reinforcement Learning Algorithms in Retail Industry” this blog highlights on different ML algorithms used in blockchain transactions with a special emphasis on bitcoins in retail payments. This blog is structured as follows: Overview of introduction of blockchain and its predominant in retail industry. Different traditional algorithms(SecureSVM, Bagging, Boosting,Random Forest, Clustering-K-Means, Agglomerative) vs deep learning algorithms […]
An Insight of Time Series Traditional vs Deep Learning Technique Motivation There are most commonly five types of traditional time series models, which includes the following. They have played an important role in different industry for time-series forecasting. Autoregressive (AR), Moving Average (MA), Autoregressive Moving Average (ARMA), Autoregressive Integrated Moving Average (ARIMA), and Seasonal Autoregressive Integrated Moving Average (SARIMA) models. AR models have been known to express the current value of the time series linearly. […]
