Detail Buku
| Judul Buku | : | The Kaggle Book: Data Analysis and Machine Learning For Competitive Data Science |
| Penulis | : |
Konrad Banachewicz
|
| Penerbit | : | Packt Publishing |
| Tahun Terbit | : | 2022 |
| Subject | : |
Machine Learning
Data Analysis
|
| ISBN | : | 978-1-80181-747-9 |
| Nomor Klasifikasi | : | - |
| Lokasi Buku | : | - |
Sinopsis / Abstrak
The Kaggle Book delivers an end-to-end framework for analyzing data and building high-performing machine learning models within competitive environments. The book covers essential topics including competition workflows, metric optimization, cross-validation strategies, hyperparameter tuning, and advanced ensembling techniques such as blending and stacking. It acts as an invaluable resource for data scientists, machine learning engineers, and researchers aiming to elevate their modeling skills and build competitive portfolio projects.
Deskripsi
1.Get acquanited with kaggle as a competition platform 2. Make the most of kaggle notebooks, datasets and discussion forums 3. Create a Portofolio of projects and ideas to get further in your career 4. Design k-fold and probalistic valindation schemes 5. Get to grips with common and never- before seen evaluation metrics 6. Understand binary and multi class claasification and object dectection 7. Approach NLP and time series taks more effectievly 8. Handlle simulation and optimization competitions on kaggle
Eksemplar
1 Eksemplar| No | Barcode Number | Ketersediaan | Boleh Dipinjam | Kondisi |
|---|---|---|---|---|
| 1 | 22.7525.13211 | Tersedia | Ya | Baik |