- Time Series Course on Kaggle Completed
- The Next Chapter in My Machine Learning CareerIn November I successfully completed my advanced qualification program in Machine Learning, Python and Python Testing at future Trainings, earning my certificates. Currently, I am seeking… Weiterlesen: The Next Chapter in My Machine Learning Career
- Moved up to rank 1764 / 14942While experimenting with several algorithms to enhance my performance in the Titanic competition on Kaggle, I achieved my best results using XGBoost with Grid-Search, along with… Weiterlesen: Moved up to rank 1764 / 14942
- Topic Modeling Of News With Latent Dirichlet Allocation
This project employs Latent Dirichlet Allocation (LDA) to perform topic modeling on a corpus of news headlines sourced from German RSS feeds. My study encompasses data… Weiterlesen: Topic Modeling Of News With Latent Dirichlet Allocation - Titanic – Surviving the Disaster
The Titanic classification problem is a widely recognized and classic challenge in the field of machine learning. It revolves around predicting the survival outcomes of passengers… Weiterlesen: Titanic – Surviving the Disaster - Possum Regression
My first machine learning project uses the ‚OpenIntro Possum‘ dataset available on Kaggle, curated by Abram Beyer, to perform different regression and classification tasks. This dataset… Weiterlesen: Possum Regression - Data Visualization Course CompletedYay! I just completed the Data Visualization course on Kaggle!
Image by vecstock on Freepik
Archiv
- 2023 (7)
