1xbat hk

[Jibonkhan2357]

import pandas as pd
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import LinearRegression
from sklearn.tree import DecisionTreeRegressor
from sklearn.ensemble import RandomForestRegressor
from sklearn.neural_network import MLPRegressor
from sklearn.model_selection import train_test_split
import telebot
from telebot.types import Message

Load the data into a Pandas DataFrame

df = pd.read_csv('1XBetCrash.csv')

Extract the 'Multiplier' column from the DataFrame

y = df['Multiplier']

Drop the 'Time' and 'Multiplier' columns from the DataFrame

X = df.drop(columns=['Time', 'Multiplier'])

Normalize the data using StandardScaler

scaler = StandardScaler()
X = scaler.fit_transform(X)

Split the data into training and test sets

train_X, test_X, train_y, test_y = train_test_split(X, y, test_size=0.3, random_state=123)

Train multiple models

linear_reg = LinearRegression()
linear_reg.fit(train_X, train_y)

tree_reg = DecisionTreeRegressor(random_state=123)
tree_reg.fit(train_X, train_y)

forest_reg = RandomForestRegressor(n_estimators=100, random_state=123)
forest_reg.fit(train_X, train_y)

nn_reg = MLPRegressor(hidden_layer_sizes=(100,), max_iter=1000, random_state=123)
nn_reg.fit(train_X, train_y)

Create a Telegram bot object

bot = telebot.TeleBot('YOUR_TOKEN')

Define the handler function for the '/predict' command

@bot.message_handler(commands=['predict'])
def handle_predict(message: Message):
# Get the chat ID of the user who sent the message
chat_id = message.chat.id

# Use the trained models to predict the next 10 values of the multiplier
for model in [linear_reg, tree_reg, forest_reg, nn_reg]:
    predictions = []
    for i in range(1, 11):
        next_X = X[-i].reshape(1, -1)
        next_y = model.predict(next_X)[0]
        predictions.append("Prediction {}: {}".format(i, next_y))

    # Send a separate message for each model's predictions
    bot.send_message(chat_id=chat_id, text="Based on Model: {}".format(model.__class__.__name__))
    bot.send_message(chat_id=chat_id, text='\n'.join(predictions))

Start the bot

bot.polling()