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iiitl
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Regression
This repository hosts a project centered around conducting regression analyses using our specific dataset.
MIT License
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Performed Simple Linear Regression without Libraries. #10
#46
NeonKazuha
closed
6 months ago
1
Simple Linear Regression #10
#45
Dishant-garg
closed
6 months ago
3
Issue #6, visualising data
#44
yaaghnetha09
closed
6 months ago
0
Solved issue #3, feature scaling
#43
yaaghnetha09
closed
6 months ago
1
visualising data
#42
Hemasri05
closed
6 months ago
1
Implementing Train-Test Split Functionality Without External Libraries #1
#41
Dishant-garg
closed
6 months ago
1
Solved issue #4, removing outliers.
#40
yaaghnetha09
closed
6 months ago
2
dataset cleaned #7
#39
Hemasri05
closed
6 months ago
1
Implementing Train-Test Split Functionality Without External Libraries #1
#38
gauravghodinde
closed
6 months ago
1
Normalization vs Scaling
#37
nithincod
closed
6 months ago
1
Feature compared.
#36
nithincod
closed
6 months ago
1
Data cleaned
#35
nithincod
closed
6 months ago
1
Max accuracy caluculated
#34
nithincod
closed
6 months ago
1
Train test Split without external libs #1
#33
pranayyb
closed
6 months ago
1
Visualizing Feature Relationships with Target Variable #6
#32
Dishant-garg
closed
6 months ago
2
Applying Various Techniques for Data Cleaning #7
#31
Dishant-garg
closed
6 months ago
2
Updated Train Test Split to Divide Data Without using External Libraries #1
#30
NeonKazuha
closed
6 months ago
2
Outliner Remove ISSUE #4
#29
Invincible1602
closed
6 months ago
1
Removing outliers from dataset #4
#28
Dishant-garg
closed
6 months ago
2
Scaling
#27
pranayyb
closed
6 months ago
0
Multiple models #2
#26
pranayyb
closed
6 months ago
2
removed outliers using Z score method #4
#25
muskan191103
closed
6 months ago
1
Solve Issue #6
#24
Invincible1602
closed
6 months ago
1
Solve ISSUE #7
#23
Invincible1602
closed
6 months ago
2
Implemeting feature Scaling Techniques #3
#22
Dishant-garg
closed
6 months ago
1
Maximizing Accuracy with Multiple Machine Learning Models #2
#21
Dishant-garg
closed
6 months ago
2
Scaling of Data #3
#20
pranayyb
closed
6 months ago
1
Visualisation of data #6
#19
pranayyb
closed
6 months ago
1
Data cleaning #7
#18
pranayyb
closed
6 months ago
1
Data cleaning #7
#17
NeonKazuha
closed
6 months ago
2
Visualizing data #6
#16
NeonKazuha
closed
6 months ago
2
Removing Outliers #4
#15
NeonKazuha
closed
6 months ago
2
Implemented Feature Scaling #3
#14
NeonKazuha
closed
6 months ago
2
Maximizing accuracy through Various ML Models #2
#13
NeonKazuha
closed
6 months ago
2
Train test split Implemented Without External Libraries #1
#12
NeonKazuha
closed
6 months ago
2
Prediction through ANN #5
#11
NeonKazuha
closed
6 months ago
2
Simple Linear Regression
#10
darshbaxi
opened
6 months ago
4
Split Data without using External Libraries #1
#9
NeonKazuha
closed
6 months ago
3
Solved Issues #2,#3,#4,#6,#7
#8
NeonKazuha
closed
6 months ago
2
Applying Various Techniques for Data Cleaning
#7
darshbaxi
opened
6 months ago
2
Visualizing Feature Relationships with Target Variable
#6
darshbaxi
opened
6 months ago
0
Deep Learning ANN Model for Prediction
#5
darshbaxi
opened
6 months ago
4
Data Preprocessing: Removing Outliers from the Dataset
#4
darshbaxi
opened
6 months ago
0
Implementing Feature Scaling Techniques in Machine Learning: Scaling vs. Normalization
#3
darshbaxi
opened
6 months ago
0
Maximizing Accuracy with Multiple Machine Learning Models
#2
darshbaxi
opened
6 months ago
0
Implementing Train-Test Split Functionality Without External Libraries
#1
darshbaxi
opened
6 months ago
5