Expecting cryptocurrency prices using ML

we used the develpment version cloned from https://github.com/JustAnotherArchivist/snscrape it can be run by python 3.8

we used only 2 features tweet.date, tweet.content but there a lot more features that can be used some examples #othert features available that can be extrated from a tweet

tweet.user.name, tweet.user.screenname, tweet.user.location, tweet.user.followers_count, tweet.user.friends_count, tweet.user.favourites_count, tweet.user.statuses_count, tweet.user.listed_count, tweet.user.created_at, tweet.user.verified, tweet.user.lang, tweet.user.time_zone, tweet.user.utc_offset, tweet.user.geo_enabled, tweet.user.contributors_enabled, tweet.user.is_translator, tweet.user.is_translation_enabled, tweet.user.profile_background_color, tweet.user.profile_background_image_url, tweet.user.profile_background_image_url_https, tweet.user.profile_background_tile, tweet.user.profile_image_url, tweet.user.profile_image_url_https, tweet.user.profile_link_color, tweet.user.profile_sidebar_border_color, tweet.user.profile_sidebar_fill_color, tweet.user.profile_text_color, tweet.user.profile_use_background_image, tweet.user.has_extended_profile, tweet.user.default_profile, tweet.user.default_profile_image, tweet.user.following, tweet.user.follow_request_sent, tweet.user.notifications, tweet.user.translator_type, tweet.user.url, tweet.user.description, tweet.user.entities.url.urls, tweet.user.entities.description.urls, tweet.user.entities.description.media, tweet.user.entities.description.hashtags, tweet.user.entities.description.symbols, tweet.user.entities.description.user_mentions, tweet.user.entities.description.polls, tweet.user.entities.description.media.media_url, tweet.user.entities.description.media.media_url_https, tweet.user.entities.description.media.url, tweet.user.entities.description.media.display_url, tweet.user.entities.description.media.expanded