{"product_id":"154755","title":"Kaggle Data Analysis Made Easy ","description":"\u003ccenter\u003e\u003cdiv style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/tmgdisk01.cafe24.com\/images\/vs\/4172\/sv\/3jYDPLHCksM30oPszXe0yiwJDe4TJz.png?v=1765081711\" style=\"max-width:100%;max-height:10px\"\u003e\u003c\/div\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\n\n\u003cdiv style=\"width:95%\"\u003e\n\n\u003cdiv style=\"text-align:center;font-size:30px;font-weight:bolder;line-height:1.6em\"\u003e Kaggle Data Analysis Made Easy \u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"border-bottom:1px;border-bottom-style:dotted;border-color:;padding-bottom:20px\"\u003e\u003ccenter\u003e\u003ctable align=\"center\" width=\"100%\"\u003e\u003ctbody style=\"border:0px\"\u003e\n\n\u003ctr\u003e\u003ctd align=\"center\" style=\"line-height:1.2em;text-align:center;font-size:18px;color:black;font-weight:bold;padding-bottom:20px;\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\u003ctr\u003e\u003ctd style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/image.yes24.com\/goods\/103526120\/XL\" style=\"max-width:100%;height:auto\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/center\u003e\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;{split_style6}padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e Description \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;word-break:break-all;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eBook Introduction\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\u003cdiv\u003e \u003cb\u003eFrom how to participate in Kaggle competitions to Kaggle Grandmaster interviews!\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Kaggle is a global data analysis competition platform, popular with data analysts around the world.\u003cbr\u003e You can showcase your skills by participating in Kaggle competitions and gain recognition by earning titles like Kaggle Master and Grandmaster.\u003cbr\u003e You can also feel a sense of personal accomplishment.\u003cbr\u003e \u003cbr\u003eThis book covers everything from an overview of Kaggle and how to participate in competitions to the basic theories and practical environment for data analysis.\u003cbr\u003e By solving the challenges of predicting Titanic survivors and predicting housing prices in beginner-friendly tutorial competitions, you can learn about data analysis and machine learning, and improve your skills.\u003cbr\u003e Finally, you can successfully enter Kaggle by listening to the experiences and advice of Kaggle Masters and Grandmasters.\u003cbr\u003e\n\n\u003c\/div\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cul\u003e\u003cli\u003e You can preview some of the book's contents.\u003cbr\u003e \u003cspan\u003ePreview\u003c\/span\u003e\n\n\u003c\/li\u003e\u003c\/ul\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eindex\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e \u003cb\u003eChapter 0: Experience practical techniques on Kaggle!\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 0.1 Let's dive into the world of Kaggle!\u003cbr\u003e __0.1.1 What can we learn from data and data analysis?\u003cbr\u003e __0.1.2 Kaggle: A data analysis competition platform used worldwide.\u003cbr\u003e __0.1.3 How to use this book\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 1: What is Kaggle?\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 1.1 A platform where data scientists around the world compete\u003cbr\u003e 1.2 Kaggle Medals and Ranks  \u003cbr\u003e1.3 Kaggle Competition Participation Flow\u003cbr\u003e 1.4 Types of Contests\u003cbr\u003e 1.5 Kaggle Community\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 2: Data Analysis Procedures and Building a Data Analysis Environment\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 2.1 Data Analysis Sequence and Overview\u003cbr\u003e 2.2 Data Analysis Environment\u003cbr\u003e __2.2.1 Data analysis environment using Python\u003cbr\u003e __2.2.2 Data analysis environment on local or cloud\u003cbr\u003e 2.3 Interactive data analysis environment using Jupyter Notebook\u003cbr\u003e __2.3.1 Building a data analysis environment on a local computer\u003cbr\u003e 2.4 Using Anaconda's Virtual Environment (Windows)\u003cbr\u003e 2.5 Using the pyenv environment (Mac)\u003cbr\u003e 2.6 Using Kaggle Analysis Tools\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 3 Kaggle Competition Challenge ①: Titanic Survivor Prediction\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 3.1 Analyzing Real Data Using Kaggle\u003cbr\u003e 3.2 What is the Titanic Survivor Prediction Contest?\u003cbr\u003e 3.3 Downloading Data\u003cbr\u003e 3.4 Preparing for Data Analysis\u003cbr\u003e __3.4.1 [Step 1] Preparing the data analysis environment\u003cbr\u003e __3.4.2 [Step 2] Creating a new file\u003cbr\u003e __3.4.3 [Step 3] Check the directory structure  \u003cbr\u003e__3.4.4 [Step 4] Installing and Importing Libraries\u003cbr\u003e __3.4.5 [Step 5] Reading Data\u003cbr\u003e __3.4.6 [Step 6] Setting the random seed\u003cbr\u003e 3.5 Understanding the Data Overview\u003cbr\u003e 3.6 Data Visualization\u003cbr\u003e __3.6.1 Visualization of data related to the target variable\u003cbr\u003e 3.7 Data preprocessing and feature value generation\u003cbr\u003e 3.8 Machine Learning Modeling\u003cbr\u003e __3.8.1 Verifying prediction accuracy with validation data\u003cbr\u003e __3.8.2 Learning using cross-validation\u003cbr\u003e 3.9 Submitting your results to Kaggle\u003cbr\u003e 3.10 Various analyses other than accuracy\u003cbr\u003e __3.10.1 Additional Analysis ①: Who was on board the Titanic?\u003cbr\u003e __3.10.2 Additional Analysis ②: Focus on Specific Clusters\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 4 Kaggle Competition Challenge ②: House Price Prediction\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 4.1 Data Analysis in More Detail\u003cbr\u003e 4.2 What is the House Price Prediction Contest?\u003cbr\u003e 4.3 Downloading Data\u003cbr\u003e 4.4 Creating a Baseline for Benchmarks\u003cbr\u003e __4.4.1 Prediction with LightGBM\u003cbr\u003e __4.4.2 Model training and prediction using cross-validation\u003cbr\u003e __4.4.3 Check the importance of each variable  \u003cbr\u003e4.5 Preprocessing of target variables: Checking the distribution of target variables\u003cbr\u003e __4.5.1 Checking the distribution of SalePrice data\u003cbr\u003e 4.6 Preprocessing explanatory variables: Checking for missing values\u003cbr\u003e __4.6.1 Checking missing values ​​for each explanatory variable\u003cbr\u003e 4.7 Excluding outliers\u003cbr\u003e __4.7.1 What is an outlier?\u003cbr\u003e __4.7.2 Check the data distribution of each explanatory variable\u003cbr\u003e 4.8 Identifying explanatory variables: Generating feature values\u003cbr\u003e 4.9 Hyperparameter Optimization\u003cbr\u003e __4.9.1 Optuna implementation\u003cbr\u003e __4.9.2 Submitting results to Kaggle\u003cbr\u003e 4.10 Ensemble using various machine learning methods\u003cbr\u003e __4.10.1 Training with Random Forest\u003cbr\u003e __4.10.2 Deleting missing values ​​in LotFrontage\u003cbr\u003e __4.10.3 Training with XGBoost\u003cbr\u003e __4.10.4 Combining XGBoost and LightGBM Results\u003cbr\u003e 4.11 Additional Analysis ①: Cluster Analysis Using Statistical Techniques\u003cbr\u003e __4.11.1 Classifying houses using statistical techniques\u003cbr\u003e __4.11.2 Principal Component Analysis\u003cbr\u003e 4.12 Additional Analysis ②: Analyzing and Visualizing the Conditions of Luxury Housing\u003cbr\u003e __4.12.1 Visualizing with a Decision Tree\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 5: Tips for Improving New Data Science Skills\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 5.1 Special Interview with a Kaggle Master  \u003cbr\u003e5.2 Kaggle Recommended Starter Notebooks\u003cbr\u003e __5.2.1 Sales Prediction Contest\u003cbr\u003e __5.2.2 PUBG Final Ranking Prediction (Kernel Only) Contest\u003cbr\u003e __5.2.3 IEEE-CIS Fraud Detection Competition\u003cbr\u003e 5.3 GCP's AI Platform Analysis Procedure\u003cbr\u003e __5.3.1 About GCP's AI Platform\u003cbr\u003e __5.3.2 Using GCP\u003cbr\u003e __5.3.3 Uploading Data to GCP\u003cbr\u003e __5.3.4 Using GCP's AI Platform\u003cbr\u003e __5.3.5 Using Storage Data on GCP's AI Platform\u003cbr\u003e __5.3.6 Added new library\u003cbr\u003e __5.3.7 Stop using the instance\u003cbr\u003e\u003cbr\u003e Appendix A: Becoming a Kaggle Master: Life as a Full-Time Kaggler and the Top 3 Earthquake Prediction Solutions\u003cbr\u003e A.1 Self-introduction\u003cbr\u003e A.2 One and a half years as a full-time Kaggler\u003cbr\u003e __A.2.1 Why I Became a Full-Time Kaggler\u003cbr\u003e __A.2.2 One year after becoming a full-time Kaggler\u003cbr\u003e __A.2.3 Six months to aim for Kaggle Grandmaster\u003cbr\u003e __A.2.4 Reflecting on a year and a half as a full-time Kaggler\u003cbr\u003e A.3 LANL Earthquake Prediction 3rd Place Solution\u003cbr\u003e __A.3.1 Overview of the Contest\u003cbr\u003e __A.3.2 Training data\u003cbr\u003e __A.3.3 Test Data\u003cbr\u003e __A.3.4 Learning Methods  \u003cbr\u003e__A.3.5 Top Prize Key\u003cbr\u003e __A.3.6 Leaderboard Probing\u003cbr\u003e __A.3.7 Score Changes\u003cbr\u003e __A.3.8 Best Model on the Public Leaderboard\u003cbr\u003e __A.3.9 Host Paper\u003cbr\u003e __A.3.10 Are the data used in the paper and the competition data the same?\u003cbr\u003e __A.3.11 Combine the organizer's paper information with leaderboard probing information\u003cbr\u003e\u003cbr\u003e Appendix B: Interview with a Korean Kaggle Grandmaster: Lee Yu-han\u003cbr\u003e B.1 Interview Introduction\u003cbr\u003e B.2 Interview Contents\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eDetailed image\u003c\/b\u003e \u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/image.yes24.com\/momo\/TopCate3615\/MidCate004\/361435642(1).jpg\" border=\"0\" alt=\"Detailed Image 1\"\u003e\u003c\/div\u003e\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eInto the book\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e After learning the basics of data analysis, you'll move beyond the vague \"Wow, that's amazing\" you've seen in use cases to a level where you can understand and consider with some degree of specificity \"What can be done with current technology and what the innovative aspects are?\"\u003cbr\u003e And if you have a clear understanding of what you don't know and haven't learned yet, it will be easier to set a direction for your future data analysis studies. \u003cbr\u003eThis book uses real data and code to guide you through the steps of data analysis.\u003cbr\u003e If you're just starting out with data analysis, I'd be grateful if this book helped you feel a little closer to data analysis or even made you think, \"I should give it a try.\"\u003cbr\u003e\n\n\u003c\/div\u003e\n\u003cdiv\u003e --- From \"Starting\"\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003ePublisher's Review\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e \u003cb\u003eHow to successfully enter Kaggle, the world's leading data analysis competition, using Python!\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCovers everything you need to get started with Kaggle!\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Kaggle is a global data analysis competition platform that provides a space for users to measure and improve their data analysis skills, as well as a community for discussion and code sharing.\u003cbr\u003e The book explains what Kaggle is, the types of Kaggle competitions, medals and levels, and how to enter competitions. \u003cbr\u003eAdditionally, before participating in the competition, learn the order in which data analysis will be conducted and create an environment suitable for data analysis.\u003cbr\u003e We explain the basic procedures of Kaggle competitions and the knowledge required for data analysis so that even beginners can participate in the competition.\u003cbr\u003e\u003cbr\u003e \u003cb\u003eLearn the data analysis process by solving competition challenges!\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Participate in Kaggle's flagship beginner tutorial competitions to build highly accurate models step by step, and even apply different methods to the same data to approach problems.\u003cbr\u003e You can learn data analysis and machine learning firsthand by solving actual competition challenges.\u003cbr\u003e Additionally, through this process, you can acquire data analysis skills that can be applied to your work or build a foundation for aiming for the top ranks of Kaggle.\u003cbr\u003e\u003cbr\u003e \u003cb\u003eLet's learn about the things you've always wondered about through the experiences of Kaggle Masters and Grandmasters!\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003eWe included the experiences of two Japanese Kaggle Masters and one domestic Kaggle Grandmaster.\u003cbr\u003e This article will walk you through your journey to becoming a Kaggle Master\/Grandmaster, including how you got started on Kaggle, how you studied to become a Kaggle Master\/Grandmaster, and how you can connect Kaggle with your work.\u003cbr\u003e Through their vivid experiences, let's learn about things you've always wondered about Kaggle and various tips. \u003cbr\u003e\n\n\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e GOODS SPECIFICS \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003ePublication date:\u003c\/strong\u003e September 8, 2021\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003ePage count, weight, size:\u003c\/strong\u003e 332 pages | 183*235*14mm\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN13:\u003c\/strong\u003e 9791165216726\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN10:\u003c\/strong\u003e 1165216728 \u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cspan\u003e\u003c\/span\u003e\n\n\u003c\/center\u003e\n\n\n\u003c\/center\u003e","brand":"LIBRAIRIE COREENNE","offers":[{"title":"Default Title","offer_id":43893446934570,"sku":"154755","price":34.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0683\/2750\/5962\/files\/17f95299ac196ae2c0df2d8b5fe64c53.jpg?v=1765402565","url":"https:\/\/librairie.coreenne.fr\/en\/products\/154755","provider":"LIBRAIRIE COREENNE","version":"1.0","type":"link"}