bexgboost BexTuychiev

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I teach machine learning through simple words.

BexTuychiev / football_database.json

Created September 12, 2024 12:25

BexTuychiev / learning_rate_schedulers.py

Created September 11, 2024 09:50

	# 1. Import statements and environment setup
	import os
	import random
	import warnings
	from typing import Callable, Tuple

	import matplotlib.pyplot as plt
	import neptune
	import numpy as np
	import tensorflow as tf

BexTuychiev / xgb_lgbm_neptune.py

Created September 8, 2024 14:14

	import os
	import time
	import warnings
	import neptune

	from dotenv import load_dotenv
	from lightgbm import LGBMClassifier
	from xgboost import XGBClassifier
	from sklearn.datasets import make_classification
	from sklearn.model_selection import train_test_split

BexTuychiev / sarsa.py

Created August 30, 2024 18:49

	import gymnasium as gym
	import numpy as np
	import matplotlib.pyplot as plt
	from moviepy.editor import ImageSequenceClip

	def create_environment(env_name='Taxi-v3', render_mode='rgb_array'):
	"""Create and return a Gymnasium environment."""
	return gym.make(env_name, render_mode=render_mode)

	def initialize_q_table(env):

BexTuychiev / comparison_plot.py

Created August 20, 2024 18:03

	# Please, run the following GitHub gist first: https://gist.github.com/BexTuychiev/00b665c256351a63cca0512b1cd6d220

	import pandas as pd
	import matplotlib.pyplot as plt
	import numpy as np
	from matplotlib.ticker import ScalarFormatter

	# Read the CSV file
	data = pd.read_csv("optimization_results.csv")

BexTuychiev / comparing_optimization_algorithms.py

Last active August 20, 2024 18:03

	import seaborn as sns
	import numpy as np
	import pandas as pd
	import time
	from tabulate import tabulate # pip install tabulate

	np.random.seed(42)

	# Load and prepare data
	dataset_size = 20_000

BexTuychiev / adam.py

Created August 20, 2024 17:59

	import seaborn as sns
	import numpy as np
	import matplotlib.pyplot as plt
	import pandas as pd
	import warnings

	warnings.filterwarnings("ignore")
	np.random.seed(42)

	# Load the data

BexTuychiev / rmsprop.py

Last active August 20, 2024 18:01

	import seaborn as sns
	import numpy as np
	import matplotlib.pyplot as plt
	import pandas as pd
	import warnings

	warnings.filterwarnings("ignore")
	np.random.seed(42)

	# Load the data

BexTuychiev / sgd_with_momentum.py

Last active August 20, 2024 18:00

	import seaborn as sns
	import numpy as np
	import matplotlib.pyplot as plt
	import pandas as pd
	import warnings

	warnings.filterwarnings("ignore")
	np.random.seed(42)

	# Load the data

BexTuychiev / sgd.py

Last active August 20, 2024 18:00

	import seaborn as sns
	import numpy as np
	import matplotlib.pyplot as plt
	import pandas as pd
	import warnings

	warnings.filterwarnings("ignore")
	np.random.seed(42)

	# Load the data