Pinned Repositories
Auto-follow-command
Bitcoin_Analysis-
Python Bitcoin is widely used cryptocurrency for digital market. It is decentralised that means it is not own by government or any other company.Transactions are simple and easy as it doesn’t belong to any country.Records data are stored in Blockchain.Bitcoin price is variable and it is widely used so it is important to predict the price of it for making any investment.This project focuses on the accurate prediction of cryptocurrencies price using neural networks. We’re implementing a Long Short Term Memory (LSTM) model using keras; it’s a particular type of deep learning model that is well suited to time series data (or any data with temporal/spatial/structural order e.g. movies, sentences, etc.).We have used different activation function for analysing the efficiency of the system.Instead of historical data we are using live streaming data for better accuracy.
car_price_prediction
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Footballer_transfer_fee_prediction
You can predict the transfer fee of the players for the 2019 2020 season with this project
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
melihbodur
Sentiment_analysis_to_customer_comments
Sentiment analysis to reviews of 829 products
Text_and_Audio_classification_with_Bert
Text Classification in Turkish Texts with Bert
Veri_cekme
Beautifulsoup and Selenium
melihbodur's Repositories
melihbodur/Bitcoin_Analysis-
Python Bitcoin is widely used cryptocurrency for digital market. It is decentralised that means it is not own by government or any other company.Transactions are simple and easy as it doesn’t belong to any country.Records data are stored in Blockchain.Bitcoin price is variable and it is widely used so it is important to predict the price of it for making any investment.This project focuses on the accurate prediction of cryptocurrencies price using neural networks. We’re implementing a Long Short Term Memory (LSTM) model using keras; it’s a particular type of deep learning model that is well suited to time series data (or any data with temporal/spatial/structural order e.g. movies, sentences, etc.).We have used different activation function for analysing the efficiency of the system.Instead of historical data we are using live streaming data for better accuracy.
melihbodur/Text_and_Audio_classification_with_Bert
Text Classification in Turkish Texts with Bert
melihbodur/Veri_cekme
Beautifulsoup and Selenium
melihbodur/car_price_prediction
melihbodur/Footballer_transfer_fee_prediction
You can predict the transfer fee of the players for the 2019 2020 season with this project
melihbodur/Sentiment_analysis_to_customer_comments
Sentiment analysis to reviews of 829 products
melihbodur/Auto-follow-command
melihbodur/melihbodur
melihbodur/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
melihbodur/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.