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# Machine Learning - 19th july to 6th August 2021

#### Varsha Shukla

##### Member
SimpleImputer Assignment

#### Attachments

• Imputation (1).pdf
23 KB · Views: 2

#### Sachin Sethi_1

##### Member
Day 2 homework, MTCars

#### Attachments

• mtcars_homework - Jupyter Notebook.pdf
343 KB · Views: 8

mtcars

#### Attachments

• mtcars.pdf
84.5 KB · Views: 6

#### Attachments

• mtcar.pdf
16.6 KB · Views: 1

#### Sachin Sethi_1

##### Member
Salaries assignment

#### Attachments

• salaries_assingment.pdf
223.7 KB · Views: 23

#### Kanchan Neetin Gawande

##### Member
Hello,
today's salary assignment. I have some doubt in assignment
1. In first question they ask about increment in total salary count from 2011 to 2014, so how to find that exact increment number... using graph we can show that peak...but they ask about how much increment???

2.In second question we have to find top earning emp. from each year?? or an employee who was employee from 2011-2014 and earning top salary??

#### Attachments

• emp_salary_assignment.pdf
720.4 KB · Views: 4

#### Varsha Shukla

##### Member
Salaries Assignment

#### Attachments

• Salaries File.pdf
60.7 KB · Views: 1

#### Sachin Sethi_1

##### Member
Linear Regression

#### Attachments

• Linear_Reression - Jupyter Notebook.pdf
308.8 KB · Views: 25

#### Swarna Parankusham

##### Member
Linear Regression

#### Attachments

• Day4- Linear Regression.pdf
45 KB · Views: 0

Alumni
Regression

#### Attachments

• pracClass4.pdf
37.7 KB · Views: 3

#### Attachments

• ML_Day4.pdf
53.2 KB · Views: 0

#### Jyotsna Akula

##### Active Member
Alumni
supervised_learning.pdf

#### Attachments

• supervised_learning (2).pdf
26.5 KB · Views: 1

PFA

#### Attachments

• _Tuhin_PDF.pdf
118.6 KB · Views: 3

Sales_Linear

#### Attachments

• Sales_Linear.pdf
24.7 KB · Views: 0

#### shubhammore12

##### Member
From Shubham More

#### Attachments

• Day 4.pdf
22.1 KB · Views: 0

#### Attachments

• 22july linear reg.pdf
81.9 KB · Views: 0

#### Varsha Shukla

##### Member
Linear Regression Assignment

#### Attachments

98.3 KB · Views: 1

#### Tuhin Gayen

##### Member
Hi Sir

I wanted to bring something from the self-learning vieods of ML course to your notice , which I found a little probamatic. i am attaching a screenshot of the polynomial regession equassion, and there is an equation x2' =X22 . Now after taking your session and going through the ebooks, i understoood that its actually X2^2 . But before that it was very confusing for me to actually understand what it is. I have gone through videos onf many courses and there are multiple cases where such confing mistakes are there. I am not sure how to bring thsi to the notice of Simplilearn team, but it would have been better if they could rectify these things.

#### Attachments

• image_2021-07-23_020516.png
228.1 KB · Views: 6

#### Tuhin Gayen

##### Member
Sir , I havea question regarding the Ad sales data multiple regression.
The coefficients for TV, Radio,Newspaer was respectively .046,.21 and .069. Does that mean that Radaio ad is more significant in predicting sales?

If that is the case, then shouldnt correation between sales-Radio be more than that of Sales-TV?
But from the corr tablle we see Sale-TV corr is .78, whereas Sales-Radio corr is .57.
Why is it so?

Attaching the screenshot for your reference.

#### Attachments

• image_2021-07-23_053517.png
36.5 KB · Views: 5

Boston_ML

#### Attachments

• Boston_LM - Jupyter Notebook.pdf
505.1 KB · Views: 17

#### Nikhil Gupta_2

##### Member
Linear Regression

#### Attachments

• ML-Day4.pdf
144 KB · Views: 8

#### Anchal Kesari

##### Member
Boston data linear regression

#### Attachments

• Boston dataset.pdf
151.6 KB · Views: 4

#### K.Sudharsan

##### Member
BOSTON LINEAR REGRESSION FILE

#### Attachments

• ML LR BOSTON K SUDHARSAN.pdf
690.3 KB · Views: 5

#### shubhammore12

##### Member
Linear Regression

#### Attachments

• Day 5.pdf
260.9 KB · Views: 7

#### ashwag omar maghraby

##### Member
could you please check the exercise?
I have a Q about the removing of outlier from the two side
I tried to use the follwoing code:

filter = [x for x in data['RM'].values if x > 5 and x < 7.6]
RM_data_rem = data[filter]
sns.boxplot(RM_data_rem['RM'])

but I received the following error:
""None of [Float64Index([6.575, 6.421, 7.185, 6.998, 7.147, 6.43, 6.012, 6.172, 5.631,\n 6.004,\n ...\n 5.39, 5.794, 6.019, 5.569, 6.027, 6.593, 6.12, 6.976, 6.794,\n 6.03],\n dtype='float64', length=464)] are in the [columns]"

#### Attachments

• Untitled (1).pdf
163.7 KB · Views: 4

#### Revathi_17

Simplilearn Support
Customer
Hi Sir

I wanted to bring something from the self-learning vieods of ML course to your notice , which I found a little probamatic. i am attaching a screenshot of the polynomial regession equassion, and there is an equation x2' =X22 . Now after taking your session and going through the ebooks, i understoood that its actually X2^2 . But before that it was very confusing for me to actually understand what it is. I have gone through videos onf many courses and there are multiple cases where such confing mistakes are there. I am not sure how to bring thsi to the notice of Simplilearn team, but it would have been better if they could rectify these things.
Please raise a support ticket and mention the points the content team will take it up

#### Varsha Shukla

##### Member
Boston Data Analysis

#### Attachments

• Boston_Dataset_Analysis.pdf
152.8 KB · Views: 7

#### iharshmgoyal

##### Moderator
Alumni
Boston Linear Regression Model Assessment

#### Attachments

• Linear_Regression_Class5_Practise.pdf
409.2 KB · Views: 1

#### Varsha Shukla

##### Member
Big_Mart_Data Analysis

#### Attachments

• Final_Bigmart_Data Analysis.pdf
67.2 KB · Views: 4

PFa

#### Attachments

• Titanic.txt
781 bytes · Views: 8

#### mdwajtech

##### Active Member
Logistic Regression on Titanic Data

#### Attachments

• Titanic.pdf
54.7 KB · Views: 9

#### Kanchan Neetin Gawande

##### Member
Hello,
please check my iris confusion matrix. I am getting different output my output is
[14 0 0
0 12 0
0 1 15]
Kindly guide me

#### Attachments

• iris_confusion_matrix.pdf
323 KB · Views: 0

PCA and LDA

#### Attachments

• 28-July-2021.pdf
81.3 KB · Views: 8

PFA

#### Attachments

• PCA_LDA-compressed.pdf
656.4 KB · Views: 4

PCA and LDA
-Shubham More

#### Attachments

• Day 8.pdf
28.3 KB · Views: 13

PCA vs LDA

#### Attachments

• PCA vs LDA.pdf
31.3 KB · Views: 4

E

#### Attachments

• 28day8-Ashwag.pdf
34.1 KB · Views: 1