Audible会員は対象作品が聴き放題、2か月無料体験キャンペーン中
-
Data Science Bookcamp
- Five Real-World Python Projects
- ナレーター： Julie Brierley
- 再生時間： 18 時間 1 分
商品を追加できませんでした
カートに追加できませんでした。
ウィッシュリストに追加できませんでした。
ほしい物リストの削除に失敗しました。
ポッドキャストのフォローに失敗しました
ポッドキャストのフォロー解除に失敗しました
聴き放題対象外タイトルです。Audible会員登録で、非会員価格の30％OFFで購入できます。
Data Science Bookcamp
あらすじ・解説
Learn data science with Python by building five real-world projects! Experiment with card game predictions, tracking disease outbreaks, and more, as you build a flexible and intuitive understanding of data science.
In Data Science Bookcamp, you will learn:
- Techniques for computing and plotting probabilities
- Statistical analysis using Scipy
- Web scraping
- How to organize datasets with clustering algorithms
- How to visualize complex multi-variable datasets
- How to train a decision tree machine learning algorithm
In Data Science Bookcamp, you’ll test and build your knowledge of Python with the kind of open-ended problems that professional data scientists work on every day. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career.
About the Technology
A data science project has a lot of moving parts, and it takes practice and skill to get all the code, algorithms, datasets, formats, and visualizations working together harmoniously. This unique audiobook guides you through five realistic projects, including tracking disease outbreaks from news headlines, analyzing social networks, and finding relevant patterns in ad click data.
About the Audiobook
Data Science Bookcamp doesn’t stop with surface-level theory and toy examples. As you work through each project, you’ll learn how to troubleshoot common problems like missing data, messy data, and algorithms that don’t quite fit the model you’re building. You’ll appreciate the detailed setup instructions and the fully explained solutions that highlight common failure points.
For listeners who know the basics of Python. No prior data science or machine learning skills required.
About the Author
Leonard Apeltsin is the head of data science at Anomaly, where his team applies advanced analytics to uncover healthcare fraud, waste, and abuse.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.