- 您的位置：主页
Hot Books
- 1 Data Analysis and Machine Learning with Kaggle: How to compete on Kaggle and build a successful career in data science
- 2 The Kaggle Book: Data analysis and machine learning for competitive data science
- 3 The Kaggle Workbook: Self-learning exercises and valuable insights for Kaggle data science competitions
- 4 Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
- 5 Python for Data Science: A Crash Course For Data Science and Analysis, Python Machine Learning and Big Data
- 6 The Informed Company: How to Build a Cloud-Based Data Stack to Explore and Understand Data
- 7 Python for Data Analysis: The Top Guide for Beginners to Discovering Data Science from Scratch, Data Analysis, Analytics & Machine Learning using Python with Business Cases - 4 Books in 1
- 8 Data Analysis with Python and PySpark
- 9 Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
- 10 How to Lead in Data Science
- 11 Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning
- 12 PYTHON: Programming & Data Science - The Fastest Way to Become Proficient in Data Analysis, Artificial Intelligence, and Machine Learning, with Step-by-Step Exercises for Beginners (2 Books in 1)
- 13 Data Science with Python and Dask
- 14 Data Engineering with AWS: Learn how to design and build cloud-based data transformation pipelines using AWS
- 15 Data Analysis in Qualitative Research: Theorizing with Abductive Analysis
- 16 Thinking Clearly with Data: A Guide to Quantitative Reasoning and Analysis
- 17 Effective Data Science Infrastructure: How to make data scientists productive
- 18 Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python
- 19 Practical Time Series Analysis: Prediction with Statistics and Machine Learning
- 20 Effective Data Storytelling: How to Drive Change with Data, Narrative and Visuals
- 21 Data Science for Business: What you need to know about data mining and data-analytic thinking
- 22 Behavioral Data Analysis with R and Python: Customer-Driven Data for Real Business Results
- 23 Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
- 24 Data Science on AWS
- 25 Interactive Dashboards and Data Apps with Plotly and Dash: Build data visualization apps with highly custom user interfaces using Python
- 26 Topological Data Analysis with Applications
- 27 Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems
- 28 Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
- 29 Fundamentals of Data Engineering: Plan and Build Robust Data Systems
- 30 Text as Data: A New Framework for Machine Learning and the Social Sciences
- 31 Persuading with Data: A Guide to Designing, Delivering, and Defending Your Data
- 32 Data Strategy: How to Profit from a World of Big Data, Analytics and Artificial Intelligence
- 33 Data Analysis for Business, Economics, and Policy
- 34 Python Data Analysis - Third Edition: Perform data collection, data processing, wrangling, visualization, and more using Python
- 35 Python for Data Science: Comprehensive Guide to Data Science with Python
- 36 Network Science with Python: Explore the networks around us using Network Science, Social Network Analysis and Machine Learning
- 37 Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
- 38 Data Center Handbook: Plan, Design, Build, and Operations of a Smart Data Center
- 39 Machine Learning with Dynamics 365 and Power Platform: The Ultimate Guide to Learning and Applying Machine Learning and Predictive Analytics
- 40 Studying Complex Interactions and Outcomes Through Qualitative Comparative Analysis: A Practical Guide to Comparative Case Studies and Ethnographic Data Analysis
- 41 Velocity-Based Training: How to Apply Science, Technology, and Data to Maximize Performance
- 42 Python: 3 books in 1 : Python basics for Beginners + Python Automation Techniques And Web Scraping + Python For Data Science And Machine Learning
- 43 Loyalty 3.0: How to Revolutionize Customer and Employee Engagement with Big Data and Gamification
- 44 The Enterprise Big Data Lake: Delivering the Promise of Big Data and Data Science
- 45 How Charts Work: Understand and Explain Data with Confidence
- 46 Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with scikit-learn and PyTorch
- 47 Data Analysis and Machine Learning with Kaggle: How to compete on Kaggle and build a successful career in data science
- 48 Who is the author of “Data Analysis and Machine Learning with Kaggle: How to compete on Kaggle and build a successful career in data science”
- 49 Data Analysis and Machine Learning with Kaggle: How to compete on Kaggle and build a successful career in data science summary
- 50 Data Analysis and Machine Learning with Kaggle: How to compete on Kaggle and build a successful career in data science reviews
- 51 Data Analysis and Machine Learning with Kaggle: How to compete on Kaggle and build a successful career in data science similar books
New Books
- 1 Sophie de Mullenheim Les histoires de P'tit Sami Maternelle (3-5 ans) : Sami et Julie au zoo
- 2 Eleni Roussos The Art and Making of Dungeons & Dragons: Honor Among Thieves
- 3 Mark O'Shea Snakes of the World: A Guide to Every Family
- 4 Laurence Packer Bees of the World: A Guide to Every Family
- 5 sometime Superwomen in Love! Honey Trap and Rapid Rabbit Vol. 5
- 6 John Ramirez Fire Prayers: Building Arsenals That Destroy Satanic Kingdoms
- 7 Jennifer Saint Atalanta
- 8 Guillem Balagué Messi
- 9 Ladybird Key Words with Peter and Jane Level 4b – On the Train
- 10 Ross Welford The Kid Who Came From Space
- 11 unknown author The Other Renaissance
- 12 Kaffe Fassett Kaffe Fassett's Timeless Themes: 23 New Quilts Inspired by Classic Patterns
- 13 unknown author The Allergy Friendly Family Cookbook
- 14 Tony Healy The Yowie File
- 15 Daniel Riolo Chaos football club
- 16 unknown author titre à venir
- 17 Stephanie Garber Il était une fois un coeur brisé
- 18 Eiichiro Oda One Piece - Édition originale - Tome 104 Lancement
- 19 Íñigo Gibernau Murré Circo de los Horrores
- 20 Rafael Santandreu El método para vivir sin miedo: Cómo miles de personas han superado la ansiedad, el TOC, la hipocondría y cualquier miedo irracional
- 21 Sally Rippin Aprender a leer en la Escuela de Monstruos 10 - Dame helado o me deshago: En letra MAYÚSCULA para aprender a leer
- 22 Carla Galeote Hablemos de feminismos
- 23 Jose Hernandez Moreno El niño que tocó las estrellas
- 24 unknown author The King's Coronation MME
- 25 Jamie Oliver Billy and the Giant Adventure: The first children's book from Jamie Oliver
- 26 Geloy Concepcion Things You Wanted to Say But Never Did: A Photographic Journal to Process Your Feelings
- 27 Lawrence Booth Wisden Cricketers' Almanack 2023
- 28 Travis Baldree Bookshops & Bonedust
- 29 Heather Andrews Self Love Elevated: 19 Women share their powerful and vulnerable collection of self-love stories including 60 + lessons learned and mindset tips
- 30 Casey Tygrett The Gift of Restlessness: A Spirituality for Unsettled Seasons
- 31 Stanislaw Grzesiuk Pakiet: Piec lat kacetu, Boso,ale w ostrogach...
- 32 Dale Carnegie Jak zdobyc przyjaciol i zjednac sobie ludzi
- 33 Alphatart The Remarried Empress, Vol. 2
- 34 Krystyna Kierebinski Sztokholm - Pierwsze trzy wyspy: Szlakiem dawnych dramatów, miłości i legend
- 35 Thomas Engqvist Chess Lessons from a Chess Champion Coach
- 36 Abigail Blasi Lonely Planet Pocket Copenhagen 6
- 37 The Rebel Accountant Taxtopia: How I Discovered the Injustices, Scams and Guilty Secrets of the Tax Evasion Game
- 38 Des Linden Choosing to Run: A Memoir
- 39 D.K. Publishing Design: The Definitive Visual History
- 40 Penelope Douglas Credence
Data Analysis and Machine Learning with Kaggle: How to compete on Kaggle and build a successful career in data science
- Downloads：7358
- Type：Epub+TxT+PDF+Mobi
- Create Date：2022-04-28 09:53:20
- Update Date：2025-09-06
- Status：finish
- Author：Konrad Banachewicz
- ISBN：1801817472
- Environment：PC/Android/iPhone/iPad/Kindle
- Download