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Yash Indulkar

Understanding various cryptocurrencies and predicting them using Machine Learning & Deep Learning

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  1. This paper consists of cryptocurrency prediction and analysis using different algorithms, the major cryptocurrency took into account for analysis and prediction are Bitcoin (BTC), Ethereum (ETH), Chainlink (LINK), Bitcoin Cash (BTC), XRP (XRP).
  2. Prediction of cryptocurrencies is tangible and requires lots of understanding regarding the flow of money on daily basis.
  3. The machine learning industry has advanced to a great extent and it would further do, this advancement has led us to a bigger problem-solving technique, that is prediction of data or analysis of trend which can be in any format.
  4. The algorithms used for such analysis is LSTM (Long…


Using Machine Learning & Deep Learning Algorithms to Predict Ranking based on PUBG

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  1. PUBG stands for PlayerUnknown’s Battlegrounds, which is an online multiplayer game.
  2. The ranking is important to understand the standing of various players based on the game they play.
  3. PUBG is multiplayer gaming that is supported on various platforms with a huge number of players online every day.
  4. The algorithms used in this research are Linear Regression, Random Forest in the category of Machine Learning & Deep Neural Network in the category of Deep Learning.

PUBG stands for PlayerUnkown’s Battlegrounds, which is a multiplayer game that is available on various platforms which are Windows, Android, IOS, etc. The game features different…


Understanding the dataset effects on the machine learning algorithms

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This article presents our research on understanding the effects of particular datasets on machine learning algorithms.

Important Points

  1. Twitter is a microblogging site that helps in opinion mining tweets (reviews) from people.
  2. Understanding the reviews from their tweets helps in determining what a business needs to improve on.
  3. The effect of the two machine learning algorithms gives us the idea of which algorithm can fetch the best suitable results. To determine this, we use a medium to understand it which is ‘Confusion Matrix’.
  4. The data sets used are ‘Uber’ & ‘Ola’. …


Analysis and comparative study of machine learning algorithms

Photo by Markus Winkler on Unsplash

Important Points

  1. Twitter is a social networking site where a large number of users are actively present. Data with hashtags are popular widely on Twitter, hence twitter has large amounts of datasets where user tweet their reviews.
  2. The two currently popular cab services in India are Uber & Ola with a vast number of users with a different lifestyle.
  3. These sentiments are used to understand what opinion do people have about a product or service through their tweets.
  4. In this research, we propose two models for sentiment analysis based on Naïve Bayes and Support Vector Machine (SVM).
  5. This system uses R- statistical…


Understanding the Indian cab service customer’s requirements

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This article presents our research on understanding the cab services throughout India for Uber & Ola using Deep Learning.

Important Points

  1. Our work addresses the mode of transport for different people on a day to day basis and what they expect from the service providers.
  2. The two currently popular cab services in India are Uber & Ola with a vast number of users with a different lifestyle.
  3. Today Twitter is at a peak of data with millions of people tweeting every day, the current Uber & Ola followers on Twitter are 315.2K & 244.9K respectively.
  4. The Deep Learning algorithm used for understanding…

Yash Indulkar

Machine Learning | Deep Learning | Thakur College of Science & Commerce Github | Linkedin : Yashindulkar Website : https://yashindulkar.github.io/

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