Dataset Name: Employee Data Analysis

Data Analytics Projects for Beginners ?****Web Scraping
https://github.com/shreyaswankhede/IMDb-Web-Scraping-and-Sentiment-Analysis

Product Price Scraping and Analysis
https://github.com/CodesdaLu/Web-Scrapping

News Scraping
https://github.com/rohit-yadav/scraping-news-articles

Real Time Stock Price Scraping with Python
https://youtu.be/rONhdonaWUo?si=A3oDEVbLIAP78cCz

Zomato Analysis
https://youtu.be/fFi_TBw27is?si=E0iLd3J06YHfQkRk

IPL Analysis
https://github.com/Yashmenaria1/IPL-Data-Exploration

https://www.youtube.com/watch?v=ur-v0dv0Qtw

https://www.youtube.com/watch?v=ur-v0dv0Qtw

Football Data Analysis
https://youtu.be/yat7soj__4w?si=h5CLIvVFzzKm8IEP

Market Basket Analysis
https://youtu.be/Ne8Sbp2hJIk?si=ThEuvdOnRrpcVjOg

Customer Churn Prediction
https://github.com/Pradnya1208/Telecom-Customer-Churn-prediction

Employee’s Performance for HR Analytics
https://www.kaggle.com/code/rajatraj0502/employee-s-performance-for-hr-analytics

Food Price Prediction
https://github.com/VectorInstitute/foodprice-forecasting

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Top?10 Computer Vision ?Project Ideas ?

1. Edge Detection
2. Photo Sketching
3. Detecting Contours
4. Collage Mosaic Generator
5. Barcode and QR Code Scanner
6. Face Detection
7. Blur the Face
8. Image Segmentation
9. Human Counting with OpenCV
10. Colour Detection

Sharing 20+ Diverse Datasets? for Data Science and Analytics practice!1. How much did it rain :- https://www.kaggle.com/c/how-much-did-it-rain-ii/overview

1. Inventory Demand:- https://www.kaggle.com/c/grupo-bimbo-inventory-demand

2. Property Inspection predictiion:- https://www.kaggle.com/c/liberty-mutual-group-property-inspection-prediction

3. Restaurant Revenue prediction:- https://www.kaggle.com/c/restaurant-revenue-prediction/data

4. Customer satisfcation:-https://www.kaggle.com/c/santander-customer-satisfaction

5. Iris Dataset: https://archive.ics.uci.edu/ml/datasets/iris

6. Titanic Dataset: https://www.kaggle.com/c/titanic

7. Wine Quality Dataset: https://archive.ics.uci.edu/ml/datasets/Wine+Quality

8. Heart Disease Dataset: https://archive.ics.uci.edu/ml/datasets/Heart+Disease

9. Bengaluru House Price Dataset: https://www.kaggle.com/amitabhajoy/bengaluru-house-price-data

10. Breast Cancer Dataset: https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Diagnostic%29

11. Credit Card Fraud Detection: https://www.kaggle.com/mlg-ulb/creditcardfraud

12. Netflix Movies and TV Shows: https://www.kaggle.com/shivamb/netflix-shows

13. Trending YouTube Video Statistics: https://www.kaggle.com/datasnaek/youtube-new

14. Walmart Store Sales Forecasting: https://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting

15. FIFA 19 Complete Player Dataset: https://www.kaggle.com/karangadiya/fifa19

16. World Happiness Report: https://www.kaggle.com/unsdsn/world-happiness

17. TMDB 5000 Movie Dataset: https://www.kaggle.com/tmdb/tmdb-movie-metadata

18. Students Performance in Exams: https://www.kaggle.com/spscientist/students-performance-in-exams

19. Twitter Sentiment Analysis Dataset: https://www.kaggle.com/kazanova/sentiment140

20. Digit Recognizer: https://www.kaggle.com/c/digit-recognizer

*?*? Don't miss out on these valuable resources for advancing your data science journey!**

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? Datasets name: Twitter Sentiment Analysis

?This is an entity-level sentiment analysis dataset of twitter. Given a message and an entity, the task is to judge the sentiment of the message about the entity. There are three classes in this dataset: Positive, Negative and Neutral. We regard messages that are not relevant to the entity (i.e. Irrelevant) as Neutral

**7 Free Kaggle Micro-Courses for Data Science Beginners with Certification

Pythonhttps://www.kaggle.com/learn/python Pandashttps://www.kaggle.com/learn/pandas Data visualizationhttps://www.kaggle.com/learn/data-visualization Intro to sqlhttps://www.kaggle.com/learn/intro-to-sql Advanced Sqlhttps://www.kaggle.com/learn/advanced-sql Intro to MLhttps://www.kaggle.com/learn/intro-to-machine-learning Advanced MLhttps://www.kaggle.com/learn/intermediate-machine-learning More data analytics resources**https://t.me/sqlspecialist

Hope it helps :)