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All-Basic-OOPs-Concept-Python
This is Jupyter notebook file that contains all the OOPs concepts with examples easy to understandXGBoost_Binary_Classification
Classifying the NBA players career length based on different features available.WebScrapping_Goibibo
BeautifulSoup | Extract Data | Extract Image | Extract Email ID | Extract URLsCredit-Card-Fraud-Detection
Fraud or Not | Imbalanced dataset | Unsupervised methods | Using PythonAnalyzing-Deep-Solar-Database-R
Finding out the best Classification model on the basis of accuracy obtained . (Supervised Classification Techniques)Recommendation_System
Recommendation System using weighted average methodPredictive-Analytics
Analysis of the House dataset having information on sales of home in Dublin.NLP-Spam-Classifier-_Deployment_Heroku
Classifying text as SPAM or not . (FLASK , BAG OF WORDS) | Multinomial NBTableau-HR-Analytics
Dashboard creationGaurav-sketch
MySQL-Database
Working on MySQL Database using PythonMongoDB-Atlas-Database
Work on MongoDB Atlas Database( NoSQL) using PythonApache-kafka
Working on live data , Gold ratesBank-Note-Authentication-Deploy-Flask-Flasgger-Docker-Kubernetes
Authentic or Non-Authentic | Random Forest Classifier | ML Model | Streamlit | DockerSimple_Package_Build_Python
Simple way to build a package in PythonApache-Hadoop
A documentation on understanding of Big data and Hadoop ecosystem.Satellite-Data-Analysis-using-Mathematica
Used dataset containing information about the active satellites currently in orbit around the earth and extracted meaningful information by visualizing them.Predict_Stock_Price_NLP_ML
Predicting Stock price movement on the basis of News Headlines : Text Processing and applying Machine learning model for predictionLove Open Source and this site? Check out how you can help us