Cryptocurrency Forecasting
Applied data extraction techniques to obtain the data, data analysis to visualize and analyze such data, and machine learning algorithms to predict cryptocurrency prices in the short future.
Summary
Forecasts cryptocurrency prices using machine learning models
Integrates with CoinGecko API for real-time data
Provides an interactive visual interface with Streamlit
Predicts prices for multiple cryptocurrencies
Twitter comments are extracted using its API, to extract and subsequently classify opinions concerning a cryptocurrency in question.
Sentiment analysis is performed using pre-trained models to detect the opinion of a cryptocurrency in a given period of time.
Resources
Skills

Plotly

Python
Streamlit

NLTK
Habilities
Machine Learning
Time-Series Forecasting
Time-Series Analysis
Natural Language Processing
Data Manipulation
Importing & Cleaning Data
Data Visualization