nptel data science assignment 3 answers

NPTEL Data Science For Engineers Assignment 3 Answers 2023

NPTEL Data Science For Engineers Assignment Solutions 2023

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NPTEL Data Science For Engineers Week 3 Assignment Answers 2023

A six sided die is marked ‘1’ on one face, ‘2’ on two of its faces, and ‘3’ on the remaining three faces. The die is thrown twice. Let X denotes the total score in two throws. Based on the above information, answer questions (1), (2).

1. Find the value of P(X> 2 .5|X<5). (Enter the answer correct to 2 decimal places).

2. Find the expected value of X.

3. Suppose X ∼ Normal(μ,4). For n=20 iid samples of X, the observed sample mean is 5.2. What conclusion would a z-test reach if the null hypothesis assumes μ=5 (against an alternative hypothesis μ≠5) at a significance level of α=0.05? Use F−1z(0.025)=−1.9599

• R e ject H0

4. A pharmaceutical company is testing a new drug. The probability that a patient experiencing a side effect from this drug is 0.100.10. If the drug is given to 55 patients, what is the probability that more than 1 patient will experience the side effect? (Enter the answer correct to 22 decimal places.)

5. Su p pose X∼Normal(μ,9)(μ,9). For n=100 iid samples of X, the observed sample mean is 11.811.8. What conclusion would a z-test reach if the null hypothesis assumes μ=10.5μ (against an alternative hypothesis μ≠10.5μ≠10.5)?

• Accept H0 at a significance level of 0.10.
• Reject H0 at a significance level of 0.10.
• Accept H0 at a significance level of 0.05.
• Reject H0 at a significance le vel of 0.05.

6. Let X and Y be two independent random variables with Var(X)=9 and Var( Y )=3, find Var(4X−2Y+6).

• None of t he above

7. The correlation coefficient of two random vari a ble X and Y is −14, their variance is given by 3and 5. Compute Cov(X,Y).

• None of the above

8. A sample of N observations are independently drawn from a normal di s tribution. The sample variance follows

• Normal distribution
• Chi-square with N degrees of freedom
• Chi-square with N−1 degrees of freedo m
• t-distribution with N−1 degrees of freedom

9. A car manufacturer purchases car batteries from two different suppliers. Supplier X provides 55% of the batteries and supplier Y provides the rest. 5%5% of all batteries from supplier X are defective and 4% of all batteries from supplier Y are defective. You select a battery from the bulk and yo u found it to be defective. What is the probability that it is from Supplier X?

10. Find the t-statistic for the sample data, given that the popu l ation mean of the distribution is 8.

NPTEL Data Science For Engineers Week 2 Assignment Answers 2023

1. Are the vectors [−2 4], [7 −2] and [3 −6] linearly independent?

2. Does the set, S={(1,1),(1,2)} spans R 2 ?

3. Consider the following system of linear equations of the form Ax=b:1 2x−3y+6z=14 x+y−2z=−3 Which among the following are correct?

• [ 1−4 0 ] is a solution to Ax=b
• [ 0 2 1 ] is a solution to Ax=b
• [ 1 −4 0 ] is a solution to Ax=0
• [ 0 2 1 ] is a solution to Ax=0

Consider the following systerm of linear equation: x+y+z=−2 x+2y−z=1 2x+ay+bz=2

4. Find the conditions on a and b for which the above system has no solution.

• a≠4, 2a+b−6= 0
• a=4, b = −2

5. Find the conditions on a and b for which the above system has a unique solution.

6. Find the conditions on a and b for which the above system has infite number of solutions.

7. Identify the number of free variable from the above rwo echelon matrix.

8. Which among the following is correct for the above system Ax= b?

• It has infinite number of solutions.
• It has a unique solution.
• It has no solution.

9. For what values of a are matrix 

not invertible?

10. Which among the following is true for the determinant of a matrix?

• The determinant of a diagonal matrix is the product of its diagonal entries.
• If one row of a matrix is a scalar multiple of another, the determinant is 1.
• If one row of a matrix is a scalar multiple of another, the determinant is 0.
• The determinant of a permutation matrix can only be 1.

13. Let A= [−1 2 2]. Suppose the eighen values corresponding to AA T are a,b and c, then find the value of ab+bc+ca.

NPTEL Data Science For Engineers Week 1 Assignment Answers 2023

1. Which of the following variable names are INVALID  i n R?

2. The function ls() in R will

• set a new working directory path
• list all objects in our working environment
• display the path to our working directory

Consider a following code snipp e t. Based on this, answer questions 3 and 4.

3. Which of the following command is used to access the value “Shyam”?

• print(patient list[3][2])
• print(patient list[[3]][1])
• print(patient list[[3]][2])
• print(patient list[[2]][2])

d. Code will throw an error.

6. State whether the given statement is True or False. The library reshape2 is based around two k e y functions named melt and cast.

Create the data frame using the code given below and answer questions 8 and 9.

student data = data.frame(student id=c(1:4), student name=c(‘Ram’,‘ H arish’,‘Pradeep’,‘Rajesh’))

8. Choose the correct command to add a column named student_dept to the dataframe student_data.

• student datastudent dept=c(“Commerce”, “Biology”, “English”, “Tamil”)
• student data[“student dept”]= c(“Commerce”,“Biology”, “English”,“Tamil”)
• student dept= student data[c(“Commerce”,“Biology”,“English”,“Tamil”)]

9. Choose the correct command to access the element Tamil in the dataframe student_data

• student data[[4]]
• student data[[4]][3]
• student data[[3]][4]

10. The comm a nd to check if a value is of numeric data type is _____.

• is.numeric()
• as.numeric()

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NPTEL Data Science for Engineers Assignment 3 Answers 2023

NPTEL Data Science for Engineers Assignment 3 Answers 2023?  In this article we will discuss about the answers for Week 3 assignment of Data science for Engineers. All these answers are make it as reference.  

Also Read: Nptel Data science for engineers Assignment 2 Answers

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Nptel data science for engineers assignment 3 answers 2023 .

Q1.  Sumit wants to contact one of his friends, but he remembers only the first 9 of the 10 digits of 

       the contact number. He is sure that the last digit of the contact number is an odd number. 

      He selects an odd number randomly. If the random variable X denotes the last digit of the 

      contact number, then calculate Var(X). 

 d. None of the above

 Answer: [ b ] 8

Q2.  Suppose X∼Normal(µ,4). For n=20  iid samples of X , the observed sample mean is 5.2. 

       What conclusion would a z-test reach if the null hypothesis assumes µ=5

       (against an alternative hypothesis µ≠5 ) at a significance level of α=0.05 ? 

  Use F−1z(0.025)=−1.9599 

a. Accept Ho

b. Reject Ho

Answer: [ a ] Accept Ho

Q3.  A box contains 8 items out of which 2 are defective. A sample of 5 items is to be 

      selected randomly (without replacement) from the box. If the random variable X

      represents the number of defective items in a selection of 5 items, then find E(X).

     (Enter the answer correct to 2 decimal places)

Answer: [ a ] 1.25

Q4.  Suppose X∼Normal(μ,9). For n=100 iid samples of X, the observed sample mean is 11.8. 

      What conclusion would a z-test reach if the null hypothesis assumes μ=10.5

     (against an alternative hypothesis μ≠10.5)?   

a. Accept Ho at a Significance level of 0.10

b. Reject Ho at a Significance level of 0.10

c. Accept Ho at a Significance level of 0.05

d. Reject Ho at a Significance level of 0.05 

Answer: [ b , d ]  Reject Ho at a Significance level of 0.10 , Reject Ho at a Significance level of 0.05 

Q5. Let X and Y  be two independent random variables with Var(X)=9 and Var(Y)=3, 

       find Var(4X−2Y+6).

d. None of the above

Answer: [ c ] 156

Q6. The correlation coefficient of two random variable X and Y is 14, their variance is given by 

       3 and 5. Compute Cov(X,Y).

Answer: [ d ] None of the above

Q7. When you reject the Null hypothesis ?

a. p value greater than α

b. p value less than α

c. p value equal than α

Answer: [ b ] p value less than α 

Q8.  A sample of N observations are independently drawn from a normal distribution. 

      The sample variance follows

a. Normal Distribution

b. Chi-square with N degrees of freedom

c. Chi-square with N−1 degrees of freedom

d. t distribution with N−1 degrees of freedom

Answer: [ c ] Chi-square with N−1 degrees of freedom.

Q9. A car manufacturer purchases car batteries from two different suppliers. Supplier provides

      55% of the batteries and supplier Y provides the rest. 5% of all batteries from supplier X

     are defective and 4% of all batteries from supplier Y are defective. You select a battery from 

     the bulk and you found it to be defective. What is the probability that it is from Supplier X ?

Answer: [ c ] 0.0275

Q10.  Which one of the following is best measure of central tendency for categorical data?

Answer: [ c ] Mode

Also Read:  Nptel Data science for engineers Assignment 2 Answers  

Conclusion:

One Comment Please !

Kindly share the solutions as well :)

Thank you Wick, from next assignment onwards i try to provide solutions also.

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NPTEL Python for Data Science Assignment 3 Answers 2023

NPTEL Python for Data Science Assignment 3 Answers 2023:-  All the Answers provided below to help the students as a reference, You must submit your assignment at your own knowledge.

NPTEL Python For Data Science Week 3 Assignment Answer 2023

1. Which of the following is the correct approach to fill missing values in case of categorical variable?

• None of the above

2. Of the following set of statements, which of them can be used to extract the column Type as a separate dataframe?

• df_cars[[‘Type’]]
• df_cars.iloc[[:, 1]
• df_cars.loc[:, [‘Type’]]

3. The method df_cars.describe() will give description of which of the following column?

• Price (in lakhs)
• All of the above

4. Which pandas function is used to stack the dataframes vertically?

• pd.concat()

5. Which of the following are libraries in Python?

6. Which of the following variable have null values?

• Review Date

7. Which of the following countries have maximum locations of cocoa manufacturing companies?

8. After checking the data summary, which feature requires a data conversion considering the data values held?

• Review date
• Bean origin

9. What is the maximum rating of chocolates?

• [bool, int, float, float, str]
• [str, int, float, float, str]
• [bool, int, float, int, str]
• [bool, int, int, float, str]

NPTEL Python for Data Science Assignment 3 Answers 2022 [July-Dec]

1. Choose the appropriate command(s) to filter those booking details whose  reservation_status  are a No-show? a. data_hotel_ns datahotel. loc[data_hotel.reservation_status=’No-Show’] b. data_hotel_ns = data_hotel[ data _hotel.reservation_status = “No-Show’] c. data hotel_ns = data_hotel.reservation_status.loc[data_hotel . isin([‘No-Show’])] d. data_hotel_ns = data_hotel.loc [data hotel.reservation_status.isin([ No-Show’])]

2. From the same data, find how many bookings were not canceled in the year 2017? a. 9064 b. 6231 c. 9046 d. None of the above

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3. From the total bookings that were made in 2017 and not canceled , which month had the highest number of repeated guests? a. July b. February c. January d. None of the above

4. Which of the following commands can be used to create a variable Flag, and set the values as Premium when the  rating  is equal to or greater than 3.25, and otherwise as Regular? a. dt_cocoa[°Flag’] = [“Premium” if x 3.25 else “Regular” for x in dt_cocoa[‘Rating’ ]] b. dt_cocoa[“Flag’] = [“Premium” if x 3.25 else “Regular” for x in dt_cocoa[ ‘ Rating ‘]] c. dt_cocoa[“Flag”] = np.where(dt_cocoa[ “Rating”] < 3.25, “Regular”, “Premium”) d. None of the above

5. Which instruction can be used to impute the missing values in the column Review Data from the dataframe  dt_cocoa  by grouping the records company–wise?

6. After checking the data summary, which feature requires a data conversion considering the data values held? a. Rating b. Review Date c. Company d. None of the above

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7 . What is the maximum average rating for the cocoa companies based out of Guatemala? a. 4 b. 3.5 c. 3.42 d. None of the above

8. Which pandas function is used to stack the dataframes vertically? a. pd.merge() b. pd.concat() c. join() d. None of the above

9. Of the following set of statements, which of them can be used to extract the column Direction as a separate dataframe? a. df_weather[[ ‘ Direction ‘ ]] b. df_weather.iloc[:,0] c. df_weather.loc[: . [ ‘Direction ‘]] d. None of the above

10. Which one of these students’ average score across all subjects was the lowest? Which subject has the highest average score across students? a. Harini, Maths b. Sathi, Maths c. Harini, Physics d. Rekha, Maths

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About Python For Data Science

The course aims at equipping participants to be able to use python programming for solving data science problems.

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Average assignment score = 25% of average of best 3 assignments out of the total 4 assignments given in the course. Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

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NPTEL Python for Data Science Assignment 3 Answers [Jan 2022]

Q1. Data from the file “brand_data.csv“ has to be loaded into a pandas dataframe. A snippet of the data is shown below:

What is the right instruction to read the file into a dataframe df_brand with 4 separate columns?

Answer:- (B), (C) & (D)

👇 FOR NEXT WEEK ASSIGNMENT ANSWERS 👇

Q2. For the same file above “brand_data.csv“ , which parameter in pd.read_csv will help to load dataframe df_brand with the selected columns as shown below?

(A) index_col  (B) skiprows  (C) usecols  (D) None of the above

Answer:- (C) usecols 

Q3. Data from the file “weather.xlsx“ has to be loaded into a pandas dataframe df_weather which when printed is as shown below:

Of the following set of statements which of them can be used to move the column “Direction” into a separate dataframe

Answer:- (A), (B), (C) & (D)

Q4. Referring to the same dataframe df_weather in Question (3), which statement/statements will help to print the last row from the dataframe?

Answer:- (B) & (D)

Q5. In reference to the same dataframe df_weather, we add an additional column ‘Hot_day’ to determine whether the day is hot or not based on the values in the Temperature column. What will the print statement derive?

(A) True  (B) SyntaxError  (C) False  (D) None of the above

Answer:- (C) False 

Q6. What statement would give the number of columns in a dataframe df?

(A) len(df.columns)  (B) len(df)  (C) df.size  (D) All of the above

Answer:- (A) len(df.columns) 

Q7. A file “Students.csv” contains the attendance and total scores of three separate students. This data is loaded into a dataframe df_study and a pandas crosstab is applied on the same dataframe which results in the following output

Which student scored the maximum average score of all three subjects? Which subject has the best average score for all three students?

(A) Harini,Chemistry  (B) Rekha,Physics  (C) Harini,Physics  (D) Rekha,Maths

Answer:- (D) Rekha,Maths

Q8. The following histogram shows the number of books read in a year:

Find the mean and median in the above histogram.

(A) 7,8  (B) 8,9  (C) 8.5,7  (D) 8,8  (E) None of the above

Answer:- (D) 8,8 

Q9. For the following box plot, which among the given options are the median and the outlier?

(A) 15, 52  (B) 22, 52  (C) 13.5, 29  (D) 25, 50

Answer:- (B) 22, 52 

Q10. A dataframe df_logs has the following data.

All the NaN / Null values in the column C1 can be replaced by zero value by executing which of the following statements?

(A) df_logs[‘C1’].fillna(0,inplace = True)  (B) df_logs.fillna(0,inplace = True)  (C) df_logs.fillna(0,inplace = False)  (D) df_logs[‘C1’].fillna(df_logs[‘B1’],inplace = True)

Answer:- (A) df_logs[‘C1’].fillna(0,inplace = True) 

Disclaimer :- We do not claim 100% surety of solutions, these solutions are based on our sole expertise, and by using posting these answers we are simply looking to help students as a reference, so we urge do your assignment on your own.

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NPTEL Python for Data Science Assignment 3 Answers 2022:-  All the Answers provided below to help the students as a reference, You must submit your assignment at your own knowledge.

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Python for Data Science | NPTEL | Week 3 Answers

This set of MCQ(multiple choice questions) focuses on the  Python for Data Science NPTEL Week 3 Answers

You should practice these questions to improve fundamentals of Data Science needed for various interviews (like company interview, campus interview, walk-in interview), entrance exams, placements and other competitive exams. All the questions in this particular section are based on only “ Python for Data Science NPTEL Week 3 Answers “.

Course layout

Week 1 : Basics of Python Spyder Week 2: Sequence data types & associated operations Week 3: Data frames Week 4:   Case study

NOTE:  You can check your answer immediately by clicking show answer button. Moreover, this set of “Python for Data Science NPTEL Week 3 Answers” contains 10 questions.

Now, start attempting the quiz.

Python for Data Science NPTEL Week 3 Answers

Q1. Which of the following is the correct approach to fill missing values in case of categorical variable?

a) Mean b) Median c) Mode d) None of these

Answer: c) Mode

Q2. Of the following set of statements, which of them can be used to extract the column Type as a separate dataframe?

a) df_cars[[‘Type’]] b) df_cars.iloc[[:, 1] c) df_cars.loc[:, [‘Type’]] d) None of the above

Answer: a), c)

Q3. The method df_cars.describe() will give description of which of the following column?

a) Car name b) Brand c) Price (in lakhs) d) All of the above

Answer: c) Price (in lakhs)

Q4. Which pandas function is used to stack the dataframes vertically?

a) pd.merge() b) pd.concat() c) join() d) None of the above

Answer: b) pd.concat()

Q5. Which of the following are libraries in Python?

a) Pandas b) Matplotlib c) NumPy d) All of the above

Answer: d) All of the above

Q6. Which of the following variable have null values?

a) ID b) Company c) Review Date d) Rating

Answer: c) Review Date

Q7. Which of the following countries have maximum locations of cocoa manufacturing companies?

a) U.K. b) U.S.A. c) Canada d) France

Answer: b) U.S.A.

Q8. After checking the data summary, which feature requires a data conversion considering the data values held?

a) Rating b) Review date c) Company d) Bean origin

Answer: b) Review date

Q9. What is the maximum rating of chocolates?

a) 1.00 b) 5.00 c) 3.18 d) 4.00

Answer: b) 5.00

Q10. What will be the output of the following code?

a) [bool, int, float, float, str] b) [str, int, float, float, str] c) [bool, int, float, int, str] d) [bool, int, int, float, str]

Q1. Data from the file  “brand_data.csv“  has to be loaded into a pandas dataframe. A snippet of the data is shown below: 0, 1, 2, 2 brand, type, cost, price BR1, clnr, 12, 15 BR2, util, 23, 34 BR3, lux, 189, 191 BR4, txtl, 150, 130

What is the right instruction to read the file into a dataframe df_brand with 4 separate columns?

a) pd.read_csv(“brand_data.csv”, index_col=0, header = 1) b) df_brand = pd.read_csv(“brand_data.csv”, header = 1) c) df_brand = pd.read_csv(“brand_data.csv”, header = None) d) df_brand = pd.read_table(“brand_data.csv”, delimiter = ‘,’, header = 1)

Answer: b), d)

Q2. For the same file above  “brand_data.csv“ , which parameter in pd.read_csv will help to load dataframe df_brand with the selected columns as shown below?

In [17]: df_brand out[17]: brand price 0 BR1 15 1 BR2 34 2 BR3 191 3 BR4 130

a) index_col b) skiprows c) usecols d) None of the above

Q3. Data from the file  “weather.xlsx“  has to be loaded into a pandas dataframe  df_weather  which when printed is as shown below:

Of the following set of statements which of them can be used to move the column “Direction” into a separate dataframe

a) df_weather[[‘Direction’]] b) df_weather[‘Direction’] c) df_weather.loc[:, [‘Direction’]] d) df_weather.iloc[:, 0]

Q4. Referring to the same dataframe df_weather in Question(3), which statement/statements will help to print the last row from the dataframe?

a) print(df_weather.head(-1)) b) print(df_weather.tail(1)) c) print(df_weather[2:3]) d) print(df_weather.iloc[-1])

Q5. In reference to the same dataframe df_weather, we add an additional column ‘Hot_day’ to determine whether the day is hot or not based on the values in the Temperature column. What will the print statement derive? df_weather[‘Hot_dat’] = np.where(df_weather[‘Temperature’] > 40, True, False) print(df_weather[‘Hot_day’][2])

a) True b) SyntaxError c) False d) None of the above

Q6. What statement would give the number of columns in a dataframe df?

a) len(df.columns) b) len(df) c) df.size d) All of the above

Q7. A file  “Students.csv”  contains the attendance and total scores of three separate students. This data is loaded into a dataframe  df_study  and a pandas crosstab is applied on the same dataframe which results in the following output.

Which student scored the maximum average score of all three subjects? Which subject has the best average score for all three students?

a) Harini,Chemistry b) Rekha,Physics c) Harini,Physics d) Rekha,Maths

Q8. The following histogram shows the number of books read in a year:

Find the mean and median in the above histogram.

a) 7, 8 b) 8, 9 c) 8.5, 7 d) 8, 8 e) None of the above

Q9. For the following box plot, which among the given options are the median and the outlier?

a) 15, 52 b) 22, 52 c) 13.5, 29 d) 25, 50

Q10. A dataframe df_logs has the following data.

All the NaN / Null values in the column C1 can be replaced by zero value by executing which of the following statements?

a) df_logs[‘C1’].fillna(0,inplace = True) b) df_logs.fillna(0,inplace = True) c) df_logs.fillna(0,inplace = False) d) df_logs[‘C1’].fillna(df_logs[‘B1’],inplace = True)

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NPTEL Python For Data Science Assignment 3 Answers 2023

• by QuizXp Team
• August 14, 2023 August 14, 2023

Hello learners In this article we are going to discuss NPTEL Python For Data Science Assignment 3 Answers . All the Answers provided below to help the students as a reference, You must submit your assignment with your own knowledge and use this article as reference only.

About the course:-

The course aims at equipping participants to be able to use python programming for solving data science problems.

NPTEL Python For Data Science Assignment 3 Answers 2023:

1. Which of the following is the correct approach to fill missing values in case of categorical variable?

• None of the above

Assume a pandas dataframe df_cars which when printed is as shown below. Based on this information, answer questions 2 and 3.

2. Of the following set of statements, which of them can be used to extract the column Type as a separate dataframe?

• df_cars[[‘Type’]]
• df_cars.iloc[[:, 1]
• df_cars.loc[:, [‘Type’]]

3. The method df_cars.describe() will give description of which of the following column?

• Price (in lakhs)
• All of the above

4. Which pandas function is used to stack the dataframes vertically?

• pd.concat()

5. Which of the following are libraries in Python?

6. Which of the following variable have null values?

• Date Rating

7. Which of the following countries have maximum locations of cocoa manufacturing companies?

8. After checking the data summary, which feature requires a data conversion considering the data values held?

• Review date
• Bean origin

9. What is the maximum rating of chocolates?

10. What will be the output of the following code?

Leadership and Team Effectiveness | Week 11

Session: JAN-APR 2024

Course name: Leadership and Team Effectiveness

Course Link: Click Here

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These are Nptel Leadership and Team Effectiveness Assignment 11 Week 11 Answers

Q1. How does Sundar Pichai enhance communication in his motivational speech? Avoiding humor to maintain professionalism. Speaking rapidly for excitement. Utilizing visual aids. Restricting movement to a fixed position.

Answer: Utilizing visual aids.

Q2. Who is the creator of the GROW coaching model? Peter Drucker Sir John Whitmore Stephen Covey Dale Carnegie

Answer: Sir John Whitmore

Q3. What is the GROW coaching model commonly used for? Cooking techniques Setting goals, improving performance, and coaching Financial planning Time management

Answer: Setting goals, improving performance, and coaching

Q4. How many steps are there in the GROW model of coaching? 3 5 4 2

Q5. Which of the following is not an step in the GROW model of coaching? Examine the reality Explore the options Establish the will Make a decision

Answer: Make a decision

Q6. What does the STEPPPA model primarily focus on? Setting rigid goals without considering emotions. Overcoming difficult emotions and defining new goals in the coaching process. Ignoring the emotional context of a situation. Avoiding the exploration of new goals.

Answer: Overcoming difficult emotions and defining new goals in the coaching process.

Q7. Who developed the STEPPPA coaching and mentoring model? Sir John Whitmore. Dr. Angus McLeod. Dr. Stephen Covey. Tony Robbins.

Answer: Dr. Angus McLeod.

Q8. In what way does the STEPPPA model assist in the coaching process? By promoting a goal-setting approach only. By providing rigid structures for overcoming emotions. By focusing on the context and emotion of a situation to define and act towards new goals. By avoiding consideration of emotions.

Answer: By focusing on the context and emotion of a situation to define and act towards new goals.

Q9. Which of the following is considered a coaching skill for managers? Memorizing instructions. Ignoring employee concerns. Asking questions. Avoiding self-improvement.

Answer: Asking questions.

Q10. Mentoring in an organization: Is always a mandatory and structured process. Involves a senior manager grooming a junior person. Only occurs between employees of the same level. Is not focused on the mentee’s growth and development.

Answer: Involves a senior manager grooming a junior person.

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Python for Data Science

Note: This exam date is subjected to change based on seat availability. You can check final exam date on your hall ticket.

Page Visits

Course layout.

• Reading files
• Exploratory data analysis
• Data preparation and preprocessing
• Scatter plot
• if-else family
• for loop with if break
• Predicting price of pre-owned cars
• Classifying personal income

Books and references

Instructor bio.

Prof. Ragunathan Rengasamy

Course certificate.

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