{"product_id":"9781617296253","title":"Data Science Bookcamp: Five real-world Python projects","description":"\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eAuthor\/Contributor(s):\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003eApeltsin, Leonard\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003ePublisher:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eManning\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eDate:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e11\/30\/2021\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eBinding:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003ePaperback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003eNEW\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cb\u003eLearn 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.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eIn\u003ci\u003e Data Science Bookcamp\u003c\/i\u003e you will learn:\u003cbr\u003e\u003cbr\u003eTechniques for computing and plotting probabilities\u003cbr\u003eStatistical analysis using Scipy\u003cbr\u003eHow to organize datasets with clustering algorithms\u003cbr\u003eHow to visualize complex multi-variable datasets\u003cbr\u003eHow to train a decision tree machine learning algorithm\u003cbr\u003e\u003cbr\u003eIn \u003ci\u003eData Science Bookcamp\u003c\/i\u003e 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.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the technology\u003c\/b\u003e\u003cbr\u003eA 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 book guides you through five realistic projects, including tracking disease outbreaks from news headlines, analyzing social networks, and finding relevant patterns in ad click data.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the book\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eData Science Bookcamp\u003c\/i\u003e 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. In the end, you’ll be confident in your skills because you can see the results.\u003cbr\u003e\u003cbr\u003eWhat's inside\u003cbr\u003e\u003cbr\u003eWeb scraping\u003cbr\u003eOrganize datasets with clustering algorithms\u003cbr\u003eVisualize complex multi-variable datasets\u003cbr\u003eTrain a decision tree machine learning algorithm\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e\u003cbr\u003eFor readers who know the basics of Python. No prior data science or machine learning skills required.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eLeonard Apeltsin\u003c\/b\u003e is the Head of Data Science at Anomaly, where his team applies advanced analytics to uncover healthcare fraud, waste, and abuse.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eCASE STUDY 1 FINDING THE WINNING STRATEGY IN A CARD GAME\u003cbr\u003e1 Computing probabilities using Python\u003cbr\u003e2 Plotting probabilities using Matplotlib\u003cbr\u003e3 Running random simulations in NumPy\u003cbr\u003e4 Case study 1 solution\u003cbr\u003eCASE STUDY 2 ASSESSING ONLINE AD CLICKS FOR SIGNIFICANCE\u003cbr\u003e5 Basic probability and statistical analysis using SciPy\u003cbr\u003e6 Making predictions using the central limit theorem and SciPy\u003cbr\u003e7 Statistical hypothesis testing\u003cbr\u003e8 Analyzing tables using Pandas\u003cbr\u003e9 Case study 2 solution\u003cbr\u003eCASE STUDY 3 TRACKING DISEASE OUTBREAKS USING NEWS HEADLINES\u003cbr\u003e10 Clustering data into groups\u003cbr\u003e11 Geographic location visualization and analysis\u003cbr\u003e12 Case study 3 solution\u003cbr\u003eCASE STUDY 4 USING ONLINE JOB POSTINGS TO IMPROVE YOUR DATA SCIENCE RESUME\u003cbr\u003e13 Measuring text similarities\u003cbr\u003e14 Dimension reduction of matrix data\u003cbr\u003e15 NLP analysis of large text datasets\u003cbr\u003e16 Extracting text from web pages\u003cbr\u003e17 Case study 4 solution\u003cbr\u003eCASE STUDY 5 PREDICTING FUTURE FRIENDSHIPS FROM SOCIAL NETWORK DATA\u003cbr\u003e18 An introduction to graph theory and network analysis\u003cbr\u003e19 Dynamic graph theory techniques for node ranking and social network analysis\u003cbr\u003e20 Network-driven supervised machine learning\u003cbr\u003e21 Training linear classifiers with logistic regression\u003cbr\u003e22 Training nonlinear classifiers with decision tree techniques\u003cbr\u003e23 Case study 5 solution","brand":"Manning","offers":[{"title":"Default Title","offer_id":42973609001215,"sku":"9781617296253","price":59.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0452\/0886\/2873\/files\/Jacket_61f4e844-3075-4651-b584-27dcaaf9d10f.jpg?v=1771351332","url":"https:\/\/massivebookshop.com\/products\/9781617296253","provider":"MASSIVE BOOKSHOP","version":"1.0","type":"link"}