Shreenanthaa P
shreenanthaa
Skills Acquired at Skill-Lync :
- PYTHON
- DATA SCIENCE
Introduction
22 Projects
Project 2 Library Book Management System
Library book management
03 Dec 2021 05:27 AM IST
Project 3 EDA
File attached below
20 Dec 2021 01:34 PM IST
Project 4 ml&ai
File attached below
21 Mar 2022 01:46 PM IST
Project 5 sql
file attached below
24 Apr 2022 08:09 AM IST
Project 6 SQL
Question 1: Question 2: Question 3: Question 4: file attached below Question 5: Question 6: Question 7: Question 8: Question 9: Question 10: Question 11: Question 12: Question 13: Question 14: Question 15: Question 16: Question 17: Question 18: Question 19:…
28 Jan 2022 03:27 AM IST
Project 1
Using 'faults.csv' data Logistic regression algorithm is performed with simple random sampling and stratified sampling Differences in the result are: values obtained form simple random sampling:- RMSE on train dataset : 0.562709623843268 RMSE on test dataset : 0.5571921767073515 confusion matrics= [[260…
03 Feb 2022 07:56 AM IST
Project 2
file attached below
08 Mar 2022 10:55 AM IST
Project 1
file attached below
01 Apr 2022 07:12 AM IST
Project 2
file attached below
07 Apr 2022 07:35 AM IST
Project 1
file attached below
09 Apr 2022 04:28 AM IST
Project 2
file attached below
12 Apr 2022 03:39 AM IST
Project 3
file attached below
15 Apr 2022 12:16 PM IST
Project 4
file attached below
16 Apr 2022 04:15 PM IST
Project 5
1. Adaboost: Advantage: Adaboost is less prone to overfitting as the input parameters are not jointly optimized. The accuracy of weak classifiers can be improved by using Adaboost. Nowadays, Adaboost is being used to classify text and images rather than binary classification problems. Disadvantage: The main…
17 Apr 2022 01:33 PM IST
Project 6
file attached below
18 Apr 2022 01:16 PM IST
Project 7
Output height = (Input height + padding height top + padding height bottom - kernel height) / (stride height) + 1 Output width = (Output width + padding width right + padding width left - kernel width) / (stride width) + 1
19 Apr 2022 08:30 AM IST
Project 8
file attached below
21 Apr 2022 03:22 AM IST
Project 9
The term vanishing gradient refers to the fact that in a feedforward network (FFN) the backpropagated error signal typically decreases (or increases) exponentially as a function of the distance from the final layer. For the vanishing gradient problem, the further you go through the network, the lower your gradient…
21 Apr 2022 09:14 AM IST
Project 10
file attached below
22 Apr 2022 12:33 PM IST
Project 11
file attached below
23 Apr 2022 07:38 AM IST
Project 1 - Analyzing the Education trends in Tamilnadu
file attached below
05 Jul 2022 07:15 AM IST
Project 2 - Gender Bias in Science and Technical field
file attached below
20 Jul 2022 08:21 AM IST
12 Course Certificates
Math behind Machine Learning & Artificial Intelligence using Python
Introduction to Machine Learning Algorithms and their Implementation in Python
Academic Qualification
B.E
Kongu Engineering College
01 Jul 2015 - 01 Apr 2019
12th
Adarsh Vidhyalaya Higher Secondary School
01 Jun 2013 - 01 Apr 2015
10th
Adharsh Vidhyalaya Matric Hr. Sec. School
01 Jun 2012 - 01 Apr 2013
Here are the courses that I have enrolled
40 Hours of Content
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