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PRATIK DAGA's Projects

bitcoin- icon bitcoin-

this was a practice of mine to generate cryptocurrency (bitcoin) in this i have generated the public and private keys, multi-signature addresses and exchange rate in different currency, lastly used statistics to calculate the no. of mined and trade volume

covid-19-india-analysis icon covid-19-india-analysis

this was my take on the covid analysis in india during the last year in aug 2020 but this was not correct as the cases and beds in india doesnt went as it was predicted

dice-rolling- icon dice-rolling-

this a practice and learning problem of dice rolling simulation and detection of the liar in the game of dice rolling in python by jupyter notebook

ibm_hr_analytics icon ibm_hr_analytics

Leverage external data and non-traditional methods to accurately assess and shortlist candidates with the relevant skillsets, experience and psycho-emotional traits, and match them with relevant job openings to drive operational efficiency and improve accuracy in the matching process

plagiarism_checker icon plagiarism_checker

being in Tybsc i had to give different entrance for college and heard about plagiarism so tried my hand of how it works

portfolio-risk-management icon portfolio-risk-management

This is a masters project completed by My Team & I the project is based portfolio risk management which calculated using Value at Risk and optimization of the portfolio using the best weights available

pratik-daga icon pratik-daga

- Hi, I’m @pratikdaga12 - I’m interested in Data Science - I’m currently learning Deeper into Machine learning - I’m looking to collaborate on projects that would include data visualization, machine learning, exploratory analysis and statistical analytics - 📫 You can reach me by sending an email on [email protected]

recommendation_system icon recommendation_system

Recommendation Systems for movie recommendations. Content-based filtering and Collaborative filtering evaluated using RMSE is demonstrated. Collaborative filter based on age similarities and Collaborative-based filtering using euclidean similarity functions is shown

sentimen_analysis_using--rnn-lstm-gru-bilstm- icon sentimen_analysis_using--rnn-lstm-gru-bilstm-

This project compares the four powerful deep learning models namely, RNN, LSTM, GRU, Bi LSTM and shows that by applying these models, how they achieves excellent result on the customer review dataset.

stock_market_prediction icon stock_market_prediction

We used Machine learning techniques to evaluate past data pertaining to the stock market and world affairs of the corresponding time period, in order to make predictions in stock trends. We built a model that will be able to buy and sell stock based on profitable prediction, without any human interactions. The model uses Natural Language Processing (NLP) to make smart “decisions” based on current affairs, article, etc. With NLP and the basic rule of probability, our goal is to increases the accuracy of the stock predictions.

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