Merge pull request #590 from stackaway/main

LinkedIn Poll Data Analysis

LinkedIn Poll Data Analysis/Dataset/LIQuizPollData%20-%20Sheet1%20(2).csv

@@ -0,0 +1,101 @@
+Quiz_number,Total_Views,Total_Responses,Right_Answers,Total_Likes,Avg_right,Max_Right
+1,134100,3486,1424,84,41%,Yes
+2,172686,5669,4093,139,72%,Yes
+3,113495,2128,1175,74,55%,Yes
+4,73924,347,142,33,41%,Yes
+5,100538,1559,917,54,59%,Yes
+6,83232,769,246,51,32%,Yes
+7,87765,1244,603,65,48%,Yes
+8,56598,469,134,31,29%,Yes
+9,98162,2081,1119,67,54%,Yes
+10,56957,557,205,31,37%,No
+11,73472,1039,817,24,79%,Yes
+12,72205,994,637,35,64%,Yes
+13,53785,435,184,34,42%,Yes
+14,63371,616,253,29,41%,Yes
+15,152686,3053,647,81,21%,No
+16,92686,2294,1720,58,75%,Yes
+17,50796,648,131,32,20%,No
+18,50632,520,252,18,48%,Yes
+19,43791,522,318,22,61%,No
+20,52736,1064,804,45,76%,Yes
+21,48729,733,453,31,62%,Yes
+22,50790,864,578,25,67%,Yes
+23,37380,644,403,27,63%,Yes
+24,46674,523,173,28,33%,No
+25,46154,1022,793,35,78%,Yes
+26,54535,664,401,36,60%,Yes
+27,48071,450,327,30,73%,Yes
+28,41423,966,835,28,86%,Yes
+29,67950,1606,1367,48,85%,Yes
+30,61879,1218,652,49,54%,Yes
+31,84481,835,378,34,45%,Yes
+32,53133,633,412,37,65%,Yes
+33,70442,735,624,55,85%,Yes
+34,49672,403,61,29,15%,Yes
+35,57934,506,276,27,55%,Yes
+36,38206,260,90,23,35%,Yes
+37,30522,274,166,16,61%,Yes
+38,39351,378,133,18,35%,Yes
+39,33210,400,277,24,69%,Yes
+40,59164,933,720,35,77%,Yes
+41,44940,429,235,22,55%,Yes
+42,49975,512,344,18,67%,Yes
+43,36452,315,194,11,76%,Yes
+44,51477,813,593,35,73%,Yes
+45,44614,443,363,28,82%,Yes
+46,49772,645,442,16,69%,Yes
+47,36931,316,59,20,19%,No
+48,34718,321,64,30,20%,No
+49,35950,222,129,18,58%,Yes
+50,45536,570,414,26,73%,Yes
+51,65696,903,527,40,58%,Yes
+52,33024,313,135,22,43%,Yes
+53,58197,913,698,34,76%,Yes
+54,48735,614,408,41,66%,Yes
+55,49525,578,346,29,60%,Yes
+56,49472,546,249,38,46%,Yes
+57,49523,380,54,32,14%,No
+58,50450,426,215,24,50%,Yes
+59,90300,1746,1448,68,83%,Yes
+60,31090,190,133,25,70%,Yes
+61,80224,1388,899,55,65%,Yes
+62,47464,506,343,36,68%,Yes
+63,56559,706,514,36,73%,Yes
+64,55279,875,617,22,71%,Yes
+65,54905,849,691,39,81%,Yes
+66,30078,352,53,23,15%,No
+67,43791,617,491,22,80%,Yes
+68,42955,495,133,19,27%,No
+69,58314,871,688,46,79%,Yes
+70,44089,597,318,23,53%,Yes
+71,41417,451,255,28,57%,Yes
+72,45161,517,253,26,49%,Yes
+73,47645,498,291,43,58%,Yes
+74,37878,344,255,16,74%,Yes
+75,27687,216,74,16,34%,Yes
+76,44673,847,587,26,69%,Yes
+77,45839,563,149,30,26%,No
+78,53115,455,94,17,21%,No
+79,125486,1653,1036,62,63%,Yes
+80,35211,357,173,24,48%,Yes
+81,34632,402,266,17,66%,Yes
+82,33647,298,99,11,33%,No
+83,72097,1042,523,47,50%,Yes
+84,49314,627,446,35,71%,Yes
+85,68008,906,557,58,61%,Yes
+86,24307,157,37,10,24%,No
+87,62538,824,101,41,12%,No
+88,56659,1241,875,34,71%,Yes
+89,60886,1290,1067,37,83%,Yes
+90,37436,353,183,22,52%,Yes
+91,100582,1525,731,35,48%,Yes
+92,85187,1385,576,40,42%,Yes
+93,76218,770,500,35,65%,Yes
+94,74333,1235,851,46,69%,Yes
+95,100386,2001,1414,52,71%,Yes
+96,111743,1385,769,64,56%,Yes
+97,53757,504,355,30,70%,Yes
+98,84803,1182,488,62,41%,No
+99,72729,730,339,50,46.44%,Yes
+100,84737,1674,855,57,51.08%,Yes

LinkedIn Poll Data Analysis/Model/README.md

@@ -0,0 +1,80 @@
+**LINKEDIN POLL DATA ANALYSIS**
+
+**GOAL**
+
+To analyse the dataset and see the popularity of the Linkedln Poll.
+<!-- Write the main goal of project and what's the purpose of it -->
+
+**DATASET**
+
+<!-- Add a link to dataset and from where it's taken. -->
+https://www.kaggle.com/datasets/kalilurrahman/linkedin-poll-data
+
+**DESCRIPTION**
+
+<!-- Brief description about the project -->
+The dataset compiles quiz data gathered from LinkedIn Polls, providing insights into various topics.
+
+**WHAT I HAD DONE**
+
+<!-- Write down the step by step procedure of how project works using points. -->
+* Analyzed data, extracted insights, and generated relevant visualizations.
+* Process data to prepare it for machine learning model training.
+* Trained default-parameter models:
+  * Linear Regression
+  * Decision Tree
+  * Random Forest
+  * SVM
+
+* In this, Linear Regression performed best with R2_score: 0.8196 and MSE: 0.0000. (Refer : `LinkedIn_poll_analysis.ipynb`)
+
+**MODELS USED**
+
+<!-- List out all the algorithms or models used in this project -->
+<!-- Why have you choosed that algorithms should also be stated -->
+* Linear Regression - Chosen for its simplicity, interpretability, and ease of implementation. 
+* Decision Tree - Chosen for its ability to handle non-linear relationships and its interpretability.
+* Random Forest - Aggregates the predictions of multiple decision trees trained on random subsets of the data and features.
+* SVM - Chosen for its effectiveness in high-dimensional spaces and its ability to handle non-linear relationships.
+
+**LIBRARIES NEEDED**
+
+<!-- Add all the libraries needed in this project in points -->
+* Pandas V2.0.3
+* Numpy V1.24.3
+* Matplotlib V3.7.2
+* Scikit-learn V1.3.2
+* Seaborn version: 0.12.2
+
+**VISUALIZATION**
+
+<!-- INCLUSION OF IMAGES OF THE VISUALIZATION IS MUST (RESULT OF EDA). -->
+![All Features](../Images/heat_map.png "All Features")
+
+
+![Total Responses](../Images/tot_responses.png "Total Responses")
+
+**ACCURACIES**
+
+<!-- Add all the algorithms used with their accuracies and results -->
+
+* Linear Regression - Mean Squared Error (MSE): 0.0000, R-squared (R2) Score: 0.8196
+* Decision Tree - Mean Squared Error (MSE): 0.0000, R-squared (R2) Score: 0.4230
+* Random Forest - Mean Squared Error (MSE): 0.0000, R-squared (R2) Score: 0.6487
+* SVM - Mean Squared Error (MSE): 0.0001, R-squared (R2) Score: -2.3062
+
+
+**CONCLUSION**
+
+<!-- What's the conclusion derived from this project and also showcase the accuracy results if it's applicable. Be briefer -->
+We analyze, preprocess, and visualize the features. Then, we calculate the quiz popularity based on views and answers received. Finally, we explore quiz popularity using various ML models along with other parameters.
+
+Linear Regression model is the best fit - Mean Squared Error (MSE): 0.0000, R-squared (R2) Score: 0.8196.
+
+**YOUR NAME**
+
+<!-- Add your name at the end of the file, along with social media handles if applicable. -->
+*Churnika S Mundas*
+
+
+[![LinkedIn](https://img.shields.io/badge/linkedin-%230077B5.svg?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/churnika-mundas-64767b246/) [![GitHub](https://img.shields.io/badge/github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white)](https://github.com/stackaway) 

LinkedIn Poll Data Analysis/requirements.txt

@@ -0,0 +1,5 @@
+* Pandas V2.0.3
+* Numpy V1.24.3
+* Matplotlib V3.7.2
+* Scikit-learn V1.3.2
+* Seaborn version V0.12.2