Day 18 Project - Predict Customer Churn for a Telco Business based on Customer Segmentation (Churn & Cohort Analysis) using different Machine Learning algorithms. github.com/jayguptacal/Re… #machinelearning #algorithms #customeranalytics #customerinsights #churn #python3 #numpy
Day 17 Project - Predict a Poisonous vs. Edible Mushroom using Gradient Boosting Machine Learning algorithm. github.com/jayguptacal/He… #machinelearning #scikitlearn #pandas #numpy #python #python3 #pythonprogramming #pythonfordatascience
Day 16 Project - Predict a Poisonous vs. Edible Mushroom using AdaBoost Machine Learning algorithm. github.com/jayguptacal/He… #machinelearning #scikitlearn #pandas #python #python3 #pythonprogramming #pythonfordatascience
Day 15 Project - Predict Rock Density based on X-Ray Signal Strength using a Variety of Different Machine Learning Algorithms. - github.com/jayguptacal/En… #python #pandas #numpy #scikitlearn #matplotlib #seaborn #python3 #machinelearning
Day 14 Project - Predict Concrete Compressive Strength based on Concrete Slump Tests using Support Vector Machine (SVM) Regression (#svm) (#regressionanalysis ) algorithm. This is an insightful project. github.com/jayguptacal/En… #machinelearning #machinelearningalgorithms
Day 13 Project - Predict Genuine vs. Fake Bank Notes based on Random Forest #randomforest Classifier Modeling, Supervised Machine Learning ( #machinelearningalgorithms ) Algorithm. Very interesting and I am also doing hyperparameter tuning. github.com/jayguptacal/Ba…
Day 12 Project - Simple & interesting project with Microsoft Excel (#excelskills ) - Identify Anti-Money Laundering (AML) and Combating Financing of Terrorism (CFT) Financial activities with Excel - github.com/jayguptacal/Ba… #github #microsoft #financialanalyst #financeanalytics
Day 11 Project - Develop PostgreSQL database for online deployment for UI with Flask. First part for local environment is done. github.com/jayguptacal/bo…
Day 10 Project - Using Microsoft ( #microsoft ) Power BI (#powerbi ) for the project Dashboard (#projectanalytics) for Orders, Revenue and Profit for a retail company. github.com/jayguptacal/Re…
DAY 9 Project - Can We Predict if the Body Cell is Malignant or Benign with Machine Learning ( #machinelearning )? Check out the step by step Jupyter Notebook at github.com/jayguptacal/He… #pandas #numpy #matplotlib #seaborn #knn #svm #dataanalyst
DAY 8 PROJECT - Using Penguin's body measurements and Decision Tree Classifier machine learning algorithm along with hyperparameter tuning, predicting which species it belongs to. github.com/jayguptacal/En… #python3 #scikitlearn #pandas #numpy #matplotlib #seaborn #python
Looking forward for you to be part of Omdena, Alberta chapter and make a difference in your community. Confirm your interest by visiting at docs.google.com/forms/d/e/1FAI…
Day 7 Project - Do you wonder how credit card companies identify frauds? Check it out the results with XGBoost (#xgboost ), Random Forest (#randomforest), and Naive Bayes algorithms at github.com/jayguptacal/Ba…
Day 6 Project - I am taking stock feed from Yahoo Finance and using it to analyze 2 tickers (SPY and TSLA) with technical leading and lagging indicators. Check it out at github.com/jayguptacal/Ba… #stockinvesting #dataanalytics #datanalysis #datanalyst #technicalanalysis
Attention Omdena Chapter Members, Project Participants and Omdena enthusiasts: Be part of the organizational committee of Omdena Alberta Chapter. Interested? Click at docs.google.com/forms/d/e/1FAI… #omdena #ai4good #ai #aiforgood #dataanalytics #datascience #machinelearning
Day 5 Project - Using Machine Learning algorithms (Random Forest and XGBoost) to detect Fraudulent financial transactions. Learn more at github.com/jayguptacal/Ba… #machinelearning #algorithms #dataanalytics #dataanalyst #datascience
Day 4 Project - Do you know that fraud in the wine industry is a big problem? I am using machine learning techniques to predict fraudulent wines using their chemical composition. Check it out on GitHub at github.com/jayguptacal/Re… #machinelearning #github #svm #dataanalysis
United States 트렌드
- 1. Westbrook 11.9K posts
- 2. Rickey 1,745 posts
- 3. Gold Glove 6,672 posts
- 4. Kings 140K posts
- 5. Big Balls 13.5K posts
- 6. #wednesdaymotivation 8,864 posts
- 7. Veo 3.1 3,538 posts
- 8. Maybe in California N/A
- 9. Jay Jones 66.7K posts
- 10. Meyers 1,731 posts
- 11. Noah Brown N/A
- 12. Young Republicans 134K posts
- 13. Voting Rights Act 17.8K posts
- 14. Lavine N/A
- 15. Summer Walker 4,258 posts
- 16. Brodie 4,281 posts
- 17. Justice Jackson 6,581 posts
- 18. Vision Pro 5,272 posts
- 19. Jared Leto 7,881 posts
- 20. Bessent 74K posts
Something went wrong.
Something went wrong.