balamurali-m

# -*- coding: utf-8 -*-
"""
Regression Metrics
Author: Balamurali M
"""
import numpy as np
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_absolute_error
from sklearn.metrics import mean_squared_error

balamurali-m

"""
Classification Metrics
Author: Balamurali M
"""

import numpy as np
from sklearn.metrics import confusion_matrix, accuracy_score
from sklearn.metrics import cohen_kappa_score, classification_report
from sklearn import svm

balamurali-m

# -*- coding: utf-8 -*-
"""
Author: Balamurali M
Markov Chain Example2
"""

import numpy as np
#Current state
I = np.matrix([[0.5, 0.5]])
#Transition Matrix

balamurali-m

# -*- coding: utf-8 -*-
"""
Author: Balamurali M
Markov Chain Example
"""

import numpy as np
#Current state
I = np.matrix([[1, 0]])
#Transition Matrix

balamurali-m

# -*- coding: utf-8 -*-
"""
Standard Normal Distribution
Author: Balamurali M
"""

import numpy as np
import matplotlib.pyplot as plt

class norm1:

balamurali-m

"""
Normal Distribution
Author: Balamurali M
"""

import numpy as np
import matplotlib.pyplot as plt

class norm1:
    def __init__(self, a1, b1, c1):