SCE/Dept /SUB.CODE/ SUB.

NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

COURSE STUDENT LIST

YEAR:II SEMESTER:IV BRANCH:AI&DS

S.No REGISTER NO NAME OF STUDENT
1. 715023243001 AADHEESH S
2. 715023243002 AARTHI M
3. 715023243003 ABISHEK R
4. 715023243004 AHISH S M
5. 715023243005 AJAY P
6. 715023243006 AJAY SAMUVEL C
7. 715023243007 AKALYA A
8. 715023243008 AKASH M
9. 715023243009 AKASH S
10. 715023243010 AKIN R
11. 715023243011 AKSHAYA R
12. 715023243012 ALLEN J WESSLEY D
13. 715023243014 ANISHKUMAR S
14. 715023243015 ARCHANASRI V
15. 715023243016 ARCHUNA R
16. 715023243017 ASHWIN M
17.
1. 715023243018
715023243025 ATHIKESAVAN
CHANDRU R S
18.
2. 715023243019
715023243026 AVINATHAN
DEEPAK J A
19.
3. 715023243020
715023243027 BALAMURUGAN
DHARSHINI R C
20.
4. 715023243021
715023243028 BAVADHARANI
DHARUNYA P C
21.
5. 715023243022
715023243029 BHARATH KS
DHIVYADHARSHINI D
22.
6. 715023243023
715023243030 BHAVANI
DINESH R P
23.
7. 715023243024
715023243031 CATHRIN A
DURKESH MARIYA A
8. 715023243032 EDWIN JOBY J
9. 715023243033 ELAKIYA R
10. 715023243034 EMMANUVEL E
11. 715023243035 GUNASEKAR S
12. 715023243036 HARINI A
13. 715023243037 HEMANTH KUMAR R
14. 715023243038 JACCO JAFFRY S
15. 715023243039 JAYASRI R
16. 715023243040 JENIFAR STELLA J
17. 715023243041 KAMAL S
18. 715023243042 KANIMOZHI G
19. 715023243043 KARTHIKEYAN B
20. 715023243044 KAVYA SHREE B
21. 715023243045 KESAVA ADHITHIYA C
22. 715023243046 KRISHNA KUMAR M
SCE/Dept /SUB.CODE/ SUB.NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

COURSE STUDENT LIST

YEAR:II SEMESTER:IV BRANCH:AI&DS

S.No REGISTER NO NAME OF STUDENT
24. 715023243047 KULOYHUNGAN S
25. 715023243048 LOGESH V
26. 715023243049 LUKESH R
27. 715023243050 MADHAN R
28. 715023243051 MANIKANDAN PS
SCE/Dept /SUB.CODE/ SUB.NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

29. 715023243052 MANISH KUMAR M

30. 715023243053 MANOJ T
31. 715023243054 MANOJ KUMAR S
32. 715023243055 MOGESHWARAN N
33. 715023243056 MOHAMED AJIM J
34. 715023243057 MOHITH RB
35. 715023243058 MONESH C
36. 715023243059 MOULEESWARAN R
37. 715023243060 MUKESH KUMAR R
38. 715023243061 NAVEEN MS
39. 715023243062 NIRANJAN S
40. 715023243063 NITHEESWARAN J
41. 715023243064 NITHISH A
42. 715023243065 PAVITHRAN J
43. 715023243066 POOJA SRINITHI N
44. 715023243067 PRABHAKARAN G
45. 715023243068 PRAKASH K
46. 715023243069 PRASANTH S
47. 715023243071 PRITHIKA M
48. 715023243072 PRIYADHARSHINI J
49. 715023243073 RAJA M
50. 715023243074 RAMAN K
51. 715023243075 ROSHAN R
52. 715023243076 SARATHI R
53. 715023243077 SHALINI P
54. 715023243078 SHARON J THADIKKARAN
55. 715023243079 SIVA M
23.
56. 715023243081
715023243080 SUBALAKSHMI
SRI SABITHA A N
24. 715023243082 SUBASH S
25. 715023243083 SURENDHAR S
26. 715023243084 SURIYAKUMAARAN M
27. 715023243085 TANISHA G
28. 715023243086 THANGAM V
29. 715023243087 VIGNESH R
30. 715023243088 VISHALI B
31. 715023243089 VISHNUPRIYAN S
32. 715023243090 VISHWANATHAN B
33. 715023243701 SADHANA GAYATHRI
SCE/Dept /SUB.CODE/ SUB.NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

ASSIGNMENT

Subject : MACHINE LEARNING Subject Code : AL3451

Faculty Name : Faculty Code : 7150046
Year / Semester / Section: II/IV/AI&DS

Gradient Descent
 Descent is like walking downhill to find the lowest point
SCE/Dept /SUB.CODE/ SUB.NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

 It ML models reduce error a Gradient nd become more accurate.

 Used in many real-world apps like recommendations, banking, vision, and more.
 Requires careful tuning of parameters like learning rate

import numpy as np
import matplotlib.pyplot as plt

# Step 1: Training data

X = np.array([1, 2, 3, 4, 5])
Y = np.array([2, 4, 6, 8, 10])

# Step 2: Initialize parameters

m = 0 # slope
c = 0 # intercept

# Step 3: Set learning rate and iterations

lr = 0.01 # learning rate
epochs = 1000 # number of iterations
n = len(X) # number of data points

# Step 4: Gradient Descent Loop

for i in range(epochs):
Y_pred = m * X + c # predicted values
error = Y - Y_pred # difference between actual and predicted

# Calculate gradients
dm = (-2/n) * np.sum(X * error)
dc = (-2/n) * np.sum(error)

# Update m and c
m = m - lr * dm
c = c - lr * dc

# Print progress every 100 steps

if i % 100 == 0:
loss = np.mean(error**2)
print(f"Epoch {i}, Loss: {loss:.4f}, m: {m:.4f}, c: {c:.4f}")
SCE/Dept /SUB.CODE/ SUB.NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

# Final model
print(f"\nFinal equation: Y = {m:.2f}X + {c:.2f}")

# Step 5: Plot the results

plt.scatter(X, Y, color='red', label='Actual Data')
plt.plot(X, m * X + c, color='blue', label='Fitted Line')
plt.title("Linear Regression using Gradient Descent")
plt.xlabel("Hours Studied")
plt.ylabel("Marks Scored")
plt.legend()
plt.grid(True)
plt.show()

Epoch 0, Loss: 44.0000, m: 0.4400, c: 0.1200

Epoch 100, Loss: 0.0245, m: 1.8988, c: 0.3655
Epoch 200, Loss: 0.0124, m: 1.9279, c: 0.2605
Epoch 300, Loss: 0.0063, m: 1.9486, c: 0.1856
Epoch 400, Loss: 0.0032, m: 1.9634, c: 0.1323
Epoch 500, Loss: 0.0016, m: 1.9739, c: 0.0943
Epoch 600, Loss: 0.0008, m: 1.9814, c: 0.0672
Epoch 700, Loss: 0.0004, m: 1.9867, c: 0.0479
Epoch 800, Loss: 0.0002, m: 1.9905, c: 0.0341
Epoch 900, Loss: 0.0001, m: 1.9933, c: 0.0243
Final equation: Y = 2.00X + 0.02
SCE/Dept /SUB.CODE/ SUB.NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

 

Multilayer Perceptron (MLP):

A Multilayer Perceptron is a network of multiple perceptrons organized in layers.
Each layer is made of neurons (perceptrons), and each neuron connects to all neurons in the
next layer — hence called a fully connected layer.
MLPs can learn complex patterns by stacking layers.
# Simple MLP using Keras
import numpy as np
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.datasets import make_moons
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
from tensorflow.keras.optimizers import Adam
SCE/Dept /SUB.CODE/ SUB.NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

# Generate sample data (2D classification problem)

X, y = make_moons(n_samples=1000, noise=0.1, random_state=42)
# Visualize the data
plt.scatter(X[:, 0], X[:, 1], c=y, cmap='bwr')
plt.title("Sample Dataset")
plt.xlabel("Feature 1")
plt.ylabel("Feature 2")
plt.grid(True)
plt.show()
# Split into train/test sets
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
# Build MLP model
model = Sequential([
Dense(8, input_shape=(2,), activation='relu'), # Hidden Layer
Dense(4, activation='relu'), # Another Hidden Layer
Dense(1, activation='sigmoid') # Output Layer
])
# Compile the model
model.compile(
optimizer=Adam(),
loss='binary_crossentropy',
metrics=['accuracy']
)
SCE/Dept /SUB.CODE/ SUB.NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

# Train the model

model.fit(
X_train, y_train,
epochs=50,
verbose=1,
validation_data=(X_test, y_test)
)
# Evaluate the model
loss, acc = model.evaluate(X_test, y_test)
print(f"Test Accuracy: {acc:.2f}")
output:
Epoch 1/50
25/25 [==============================] - 1s 11ms/step - loss: 0.6925 - accuracy:
0.5075 - val_loss: 0.6883 - val_accuracy: 0.5450
Epoch 2/50
25/25 [==============================] - 0s 3ms/step - loss: 0.6831 - accuracy:
0.6037 - val_loss: 0.6790 - val_accuracy: 0.5850
...
Epoch 50/50
25/25 [==============================] - 0s 3ms/step - loss: 0.1090 - accuracy:
0.9663 - val_loss: 0.1140 - val_accuracy: 0.9650
7/7 [==============================] - 0s 2ms/step - loss: 0.1140 - accuracy:
0.9650
Test Accuracy: 0.97
SCE/Dept /SUB.CODE/ SUB.NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

Probabilistic Discriminative Model

Learns to directly estimate P(Y|X), i.e., the probability of a class Y given input X.
Provides not just a prediction, but a confidence level.

import numpy as np
import matplotlib.pyplot as plt
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import train_test_split

# Step 1: Create toy dataset

X = np.array([
[1, 1],
[2, 0],
[2, 2],
[3, 1],
[4, 3],
[4, 2],
[5, 3],
[6, 4],
[7, 3],
[8, 4]
])
y = np.array([0, 0, 0, 0, 1, 1, 1, 1, 1, 1]) # 0: Fail, 1: Pass

# Step 2: Train/Test Split

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

# Step 3: Create and train logistic regression model

model = LogisticRegression()
model.fit(X_train, y_train)

# Step 4: Predict probabilities

SCE/Dept /SUB.CODE/ SUB.NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

probs = model.predict_proba(X_test)
preds = model.predict(X_test)

# Display predictions and probabilities

for i in range(len(X_test)):
print(f"Student {i+1}: Features = {X_test[i]}")
print(f" Predicted Class: {preds[i]}")
print(f" Probability of Passing (class 1): {probs[i][1]:.2f}")
print(f" Probability of Failing (class 0): {probs[i][0]:.2f}")
print("")

# Step 5: Visualization (optional)

pass_students = X[y == 1]
fail_students = X[y == 0]

plt.scatter(pass_students[:, 0], pass_students[:, 1], color='blue', label='Passed')

plt.scatter(fail_students[:, 0], fail_students[:, 1], color='red', label='Failed')
plt.xlabel("Hours Studied")
plt.ylabel("Practice Tests Taken")
plt.title("Student Performance Classification")
plt.legend()
plt.grid(True)
plt.show()

OUTPUT:
SCE/Dept /SUB.CODE/ SUB.NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

FIRST INTERNAL EXAM – APR 2025

Year / Semester: II / IV Max. Marks: 50

Subject: Machine Learning Subject Code: AL3451
Date / Session: 05.04.2025 - FN Timings: 11.00AM to 12.30PM

PART A (Answer all the questions) 5x2=10 Marks

Q. No. COs Question
1 CO1 What do you mean by hypothesis space? (APR/MAY 2023)
2 CO1 List few applications of Machine Learning. (APR/MAY 2023)
3 CO1 Mention the merits of Bayesian Linear Regression. (APR/MAY 2024)
4 CO1 Relate entropy and information gain. (NOV/DEC 2023)

5 What is the significance of eigenvalues and eigenvectors in dimensionality

CO1 reduction techniques?

PART B (Answer any four questions) 4x10=40 Marks

Q. No. Cos Question

6 CO1 Discuss in detail about Bias Variance Trade-off. (5)
Discuss in detail about VC dimension. (5) (APR/MAY 2023)
7 CO1 Write short notes on Regression and Correlation and explain their
limitations. (NOV/DEC 2023)
8 CO1 Elaborate on PAC Learning with an example. (APR/MAY 2023)
CO1 Explain the concept of hypothesis spaces in machine learning. How does
9 the choice of a hypothesis space influence the performance and
generalization of a model?
CO1
By the method of least squares, find the straight line to the data given
10 below. (APR/MAY 2024)
X 5 10 15 20 25
Y 16 19 23 26 30
SCE/Dept /SUB.CODE/ SUB.NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

STAFF IN-CHARGE HOD PRINCIPAL

MARK LIST FOR INTERNAL EXAM -I

YEAR: II SEMESTER:IV
SUB.CODE:AL3451 SUB.NAME: MACHINE LEARNING
STAFF:
Unit Test - I Marks

REGISTER
S.NO. NAME MARKS
NO.
1. 715023243001 AADHEESH S
2. 715023243002 AARTHI M
3. 715023243003 ABISHEK R
4. 715023243004 AHISH S M
5. 715023243005 AJAY P
6. 715023243006 AJAY SAMUVEL C
7. 715023243007 AKALYA A
8. 715023243008 AKASH M
9. 715023243009 AKASH S
10. 715023243010 AKIN R
11. 715023243011 AKSHAYA R
12. 715023243012 ALLEN J WESSLEY D
13. 715023243014 ANISHKUMAR S
14. 715023243015 ARCHANASRI V
15. 715023243016 ARCHUNA R
16. 715023243017 ASHWIN M
17. 715023243018 ATHIKESAVAN S
18. 715023243019 AVINATHAN A
19. 715023243020 BALAMURUGAN C
20. 715023243021 BAVADHARANI C
21. 715023243022 BHARATH KS
22. 715023243023 BHAVANI P
23. 715023243024 CATHRIN MARIYA A
24. 715023243025 CHANDRU R
25. 715023243026 DEEPAK J
26. 715023243027 DHARSHINI R
27. 715023243028 DHARUNYA P
SCE/Dept /SUB.CODE/ SUB.NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

28. 715023243029 DHIVYADHARSHINI D

29. 715023243030 DINESH R
30. 715023243031 DURKESH A
31. 715023243032 EDWIN JOBY J
32. 715023243033 ELAKIYA R
33. 715023243034 EMMANUVEL E
34. 715023243035 GUNASEKAR S
35. 715023243036 HARINI A
36. 715023243037 HEMANTH KUMAR R
37. 715023243038 JACCO JAFFRY S
38. 715023243039 JAYASRI R
39. 715023243040 JENIFAR STELLA J
40. 715023243041 KAMAL S
41. 715023243042 KANIMOZHI G
42. 715023243043 KARTHIKEYAN B
43. 715023243044 KAVYA SHREE B
44. 715023243045 KESAVA ADHITHIYA C
45. 715023243046 KRISHNA KUMAR M

Total Strength 45
No of Appeared 42
No of Passed 42
No of Failures NIL
Pass Percentage 100%

Staff HoD Principal

SCE/Dept /SUB.CODE/ SUB.NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

RESULT ANALYSIS for internal test- I

Internal Test I

1 Batch AI&DS
2 Year & Semester II-IV
3 Subject Code AL3451
4 Name of the Subject MACHINE LEARNING
5 Name of the Exam INTERNAL TEST-I
6 Total Number of Students 45
7 Number of students Absent 3
8 Number of Students Appeared 42

9 Number of Students Passed 42

10 Number of Students Failed NIL

11 Percentage of Pass
1. Based on Total Students 100%
2. Based on Students Appeared 100%
12 Result Analysis
Below 25% to 41 % to 61% to 76% to 91% to
Description
25% 40 % 60% 75% 90% 100%

13 Minimum Marks for Passing 50

Staff HoD Principal

SCE/Dept /SUB.CODE/ SUB.NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

MARK LIST FOR INTERNAL EXAM -I

YEAR: II SEMESTER:IV
SUB.CODE: AL3451 SUB.NAME: MACHINE LEARNING
STAFF:
Unit Test - I Marks

REGISTER
S.NO. NAME MARKS
NO.
46. 715023243047 KULOYHUNGAN S
47. 715023243048 LOGESH V
48. 715023243049 LUKESH R
49. 715023243050 MADHAN R
50. 715023243051 MANIKANDAN PS
51. 715023243052 MANISH KUMAR M
52. 715023243053 MANOJ T
53. 715023243054 MANOJ KUMAR S
54. 715023243055 MOGESHWARAN N
55. 715023243056 MOHAMED AJIM J
56. 715023243057 MOHITH RB
57. 715023243058 MONESH C
58. 715023243059 MOULEESWARAN R
59. 715023243060 MUKESH KUMAR R
60. 715023243061 NAVEEN MS
61. 715023243062 NIRANJAN S
62. 715023243063 NITHEESWARAN J
63. 715023243064 NITHISH A
64. 715023243065 PAVITHRAN J
65. 715023243066 POOJA SRINITHI N
66. 715023243067 PRABHAKARAN G
67. 715023243068 PRAKASH K
68. 715023243069 PRASANTH S
69. 715023243071 PRITHIKA M
70. 715023243072 PRIYADHARSHINI J
71. 715023243073 RAJA M
72. 715023243074 RAMAN K
SCE/Dept /SUB.CODE/ SUB.NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

73. 715023243075 ROSHAN R

74. 715023243076 SARATHI R
75. 715023243077 SHALINI P
76. 715023243078 SHARON J THADIKKARAN
77. 715023243079 SIVA M
78. 715023243080 SRI SABITHA A
79. 715023243081 SUBALAKSHMI N
80. 715023243082 SUBASH S
81. 715023243083 SURENDHAR S
82. 715023243084 SURIYAKUMAARAN M
83. 715023243085 TANISHA G
84. 715023243086 THANGAM V
85. 715023243087 VIGNESH R
86. 715023243088 VISHALI B
87. 715023243089 VISHNUPRIYAN S
88. 715023243090 VISHWANATHAN B
89. 715023243701 SADHANA GAYATHRI

Total Strength 44
No of Appeared 42
No of Passed 42
No of Failures NIL
Pass Percentage 100%

Staff HoD Principal

SCE/Dept /SUB.CODE/ SUB.NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

RESULT ANALYSIS for internal test- I

Internal Test I
1 Batch AI&DS
2 Year & Semester II-IV
3 Subject Code AL3451
4 Name of the Subject MACHINE LEARNING
5 Name of the Exam INTERNAL TEST-I
6 Total Number of Students 44
7 Number of students Absent 2
8 Number of Students Appeared 42

9 Number of Students Passed 42

10 Number of Students Failed NIL

11 Percentage of Pass
2. Based on Total Students 100%
2. Based on Students Appeared 100%
12 Result Analysis
Below 25% to 41 % to 61% to 76% to 91% to
Description
25% 40 % 60% 75% 90% 100%

13 Minimum Marks for Passing 50

Staff HoD Principal

SCE/Dept /SUB.CODE/ SUB.NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

SECOND INTERNAL EXAM – MAY 2025

Year / Semester: II / IV Max. Marks: 50

Subject: Machine Learning Subject: Machine Learning
Date / Session: 13.05.2025 - FN Timings: 11.00AM to 12.30PM

PART A (Answer all the questions) 5x2=10 Marks

Q. No. COs Question
1 CO1 Compare and contrast linear regression and logistic regression.
(APR/MAY 2023)
2 CO1 Distinguish between bagging and boosting. (APR/MAY 2023)
3 CO1 Identify the challenges of clustering algorithm. (NOV/DEC 2023)
4 CO1 Define Expectation Maximization (NOV/DEC 2023)

5 Differentiate single layer and multilayer perceptron. (APR/MAY 2024)

CO1

PART B (Answer any four questions) 4x10=40 Marks

Q. No. Cos Question

6 CO1
Explain Decision Tree concepts in detail (APR/MAY 2024)

7 CO1 List the advantages of Support Vector Machine and how optimal
hyperplanes differ from hyperplanes. (NOV/DEC 2023)
8 CO1 Elaborate on Classification and Regression Tree with a suitable example.
(APR/MAY 2023)
9 CO1 Explain the weighted K-Nearest Neighbour algorithm with a suitable
example. (APR/MAY 2023)
CO1
Cluster the following eight points with (x,y) locations into three clusters
10 using K Means clustering method: A1(2,10), A2(2,5), A3(8,4), A4 (5,8),
A5(7,5), A6(6,4), A7(1,2), A8(4,9) (APR/MAY 2024)
SCE/Dept /SUB.CODE/ SUB.NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

STAFF IN-CHARGE HOD PRINCIPAL

MARK LIST FOR INTERNAL EXAM -II

YEAR: II SEMESTER:IV
SUB.CODE:AL3451 SUB.NAME: MACHINE LEARNING
STAFF:
Unit Test - II Marks

REGISTER
S.NO. NAME MARKS
NO.
1 715023243001 AADHEESH S
2 715023243002 AARTHI M
3 715023243003 ABISHEK R
4 715023243004 AHISH S M
5 715023243005 AJAY P
6 715023243006 AJAY SAMUVEL C
7 715023243007 AKALYA A
8 715023243008 AKASH M
9 715023243009 AKASH S
10 715023243010 AKIN R
11 715023243011 AKSHAYA R
12 715023243012 ALLEN J WESSLEY D
13 715023243014 ANISHKUMAR S
14 715023243015 ARCHANASRI V
15 715023243016 ARCHUNA R
16 715023243017 ASHWIN M
17 715023243018 ATHIKESAVAN S
18 715023243019 AVINATHAN A
19 715023243020 BALAMURUGAN C
20 715023243021 BAVADHARANI C
21 715023243022 BHARATH KS
22 715023243023 BHAVANI P
23 715023243024 CATHRIN MARIYA A
24 715023243025 CHANDRU R
25 715023243026 DEEPAK J
26 715023243027 DHARSHINI R
SCE/Dept /SUB.CODE/ SUB.NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

27 715023243028 DHARUNYA P
28 715023243029 DHIVYADHARSHINI D
29 715023243030 DINESH R
30 715023243031 DURKESH A
31 715023243032 EDWIN JOBY J
32 715023243033 ELAKIYA R
33 715023243034 EMMANUVEL E
34 715023243035 GUNASEKAR S
35 715023243036 HARINI A
36 715023243037 HEMANTH KUMAR R
37 715023243038 JACCO JAFFRY S
38 715023243039 JAYASRI R
39 715023243040 JENIFAR STELLA J
40 715023243041 KAMAL S
41 715023243042 KANIMOZHI G
42 715023243043 KARTHIKEYAN B
43 715023243044 KAVYA SHREE B
44 715023243045 KESAVA ADHITHIYA C
45 715023243046 KRISHNA KUMAR M

Total Strength 45
No of Appeared 43
No of Passed 43
No of Failures NIL
Pass Percentage 100%

Staff HoD Principal

SCE/Dept /SUB.CODE/ SUB.NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

RESULT ANALYSIS for internal test - II

Internal Test II
1 Batch AI & DS
2 Year & Semester II-IV
3 Subject Code EC8453
4 Name of the Subject MACHINE LEARNING
5 Name of the Exam INTERNAL TEST-II
6 Total Number of Students 45
7 Number of students Absent 2
8 Number of Students Appeared 43

9 Number of Students Passed 43

10 Number of Students Failed NIL

11 Percentage of Pass
3. Based on Total Students 100%
2. Based on Students Appeared 100%
12 Result Analysis
Below 25% to 41 % to 61% to 76% to 91% to
Description
25% 40 % 60% 75% 90% 100%

13 Minimum Marks for Passing 50

Staff HoD Principal

SCE/Dept /SUB.CODE/ SUB.NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

MARK LIST FOR INTERNAL EXAM -II

YEAR: II SEMESTER:IV
SUB.CODE:AL3451 SUB.NAME: MACHINE LEARNING
STAFF:
Unit Test - II Marks

REGISTER
S.NO. NAME MARKS
NO.
1 715023243047 KULOYHUNGAN S
2 715023243048 LOGESH V
3 715023243049 LUKESH R
4 715023243050 MADHAN R
5 715023243051 MANIKANDAN PS
6 715023243052 MANISH KUMAR M
7 715023243053 MANOJ T
8 715023243054 MANOJ KUMAR S
9 715023243055 MOGESHWARAN N
10 715023243056 MOHAMED AJIM J
11 715023243057 MOHITH RB
12 715023243058 MONESH C
13 715023243059 MOULEESWARAN R
14 715023243060 MUKESH KUMAR R
15 715023243061 NAVEEN MS
16 715023243062 NIRANJAN S
17 715023243063 NITHEESWARAN J
18 715023243064 NITHISH A
19 715023243065 PAVITHRAN J
20 715023243066 POOJA SRINITHI N
21 715023243067 PRABHAKARAN G
22 715023243068 PRAKASH K
23 715023243069 PRASANTH S
SCE/Dept /SUB.CODE/ SUB.NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

24 715023243071 PRITHIKA M
25 715023243072 PRIYADHARSHINI J
26 715023243073 RAJA M
27 715023243074 RAMAN K
28 715023243075 ROSHAN R
29 715023243076 SARATHI R
30 715023243077 SHALINI P
31 715023243078 SHARON J THADIKKARAN
32 715023243079 SIVA M
33 715023243080 SRI SABITHA A
34 715023243081 SUBALAKSHMI N
36 715023243082 SUBASH S
37 715023243083 SURENDHAR S
38 715023243084 SURIYAKUMAARAN M
39 715023243085 TANISHA G
40 715023243086 THANGAM V
41 715023243087 VIGNESH R
42 715023243088 VISHALI B
43 715023243089 VISHNUPRIYAN S
44 715023243090 VISHWANATHAN B
45 715023243701 SADHANA GAYATHRI

Total Strength 44
No of Appeared 40
No of Passed 40
No of Failures NIL
Pass Percentage 100%

Staff HoD Principal

SCE/Dept /SUB.CODE/ SUB.NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

RESULT ANALYSIS for internal test - II

Internal Test II
1 Batch AI & DS
2 Year & Semester II-IV
3 Subject Code AL3451
4 Name of the Subject MACHINE LEARNING
5 Name of the Exam INTERNAL TEST-II
6 Total Number of Students 44
7 Number of students Absent 2
8 Number of Students Appeared 42

9 Number of Students Passed 42

10 Number of Students Failed NIL

11 Percentage of Pass
4. Based on Total Students 100%
2. Based on Students Appeared 100%
12 Result Analysis
Below 25% to 41 % to 61% to 76% to 91% to
Description
25% 40 % 60% 75% 90% 100%

13 Minimum Marks for Passing 50

SCE/Dept /SUB.CODE/ SUB.NAME/Academic Year

SUGUNA COLLEGE OF ENGINEERING

(Approved by AICTE New Delhi, Affiliated to Anna University, Chennai)
Nehru Nagar (W), Kalapatti Road, Civil Aerodrome Post, Coimbatore – 641 014.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

Staff HoD Principal