eBook Join or create book clubs ´ Approaching PDF ✓ ´

❰Read❯ ➲ Approaching (Almost) Any Machine Learning Problem Author Join or create book clubs – Sov-skaars.co This is not a traditional bookThe book has a lot of code If you don't like the code first approach do not buy this book Making code available on Github is not an optionThis book is for people who have❰Read❯ ➲ Approaching (Almost) Any Machine Learning Problem Author Join or create book clubs – Sov-skaars.co This is not a traditional bookThe book has a lot of code If you don't like the code first approach do not buy this book Making code available on Github is not an optionThis book is for people who have This is not a traditional bookThe book has a lot of code If you don't like the code first approach do not buy this book Making code available on Github is not an optionThis book is for people who have some theoretical knowledge of machine learning and deep learning and want to dive into applied machine learning The book doesn't explain the algorithms but isoriented towards how and what should you use to solve machine learning and deep learning problems The book is not for you if you are looking for pure basics The book is for you if you are looking for guidance on approaching machine learning problems The book is best enjoyed with a cup of coffee and a laptopworkstation where you can code alongTable of contents Setting up your working environment Supervised vs unsupervised learning Cross validation Evaluation metrics Arranging machine learning projects Approaching categorical variables Feature engineering Feature selection Hyperparameter optimization Approaching image classification segmentation Approaching text classificationregression Approaching ensembling and stacking Approaching reproducible code model serving There are no sub headings Important terms are written in boldI wi.

Ll be answering all your ueries related to the book and will be making YouTube tutorials to cover what has not been discussed in the book To ask uestionsdoubts create an issue in GitHub repository Subscribe to my youtube channelThis is not a traditional bookThe book has a lot of code If you don't like the code first approach do not buy this book Making code available on Github is not an optionThis book is for people who have some theoretical knowledge of machine learning and deep learning and want to dive into applied machine learning The book doesn't explain the algorithms but isoriented towards how and what should you use to solve machine learning and deep learning problems The book is not for you if you are looking for pure basics The book is for you if you are looking for guidance on approaching machine learning problems The book is best enjoyed with a cup of coffee and a laptopworkstation where you can code alongTable of contents Setting up your working environment Supervised vs unsupervised learning Cross validation Evaluation metrics Arranging machine learning projects Approaching categorical variables Feature engineering Feature selection Hyperparameter optimization Approaching image classification segmentation Approaching text classificationregression Approaching ensembling and stacking Approaching reproducible code model serving There are no sub headings Important terms are written in boldI will be answering all your ueries related to the book and will be making YouTube tutorials to cover what has not.

approaching free almost epub machine pdf learning kindle problem free Approaching PDFEPUBLl be answering all your ueries related to the book and will be making YouTube tutorials to cover what has not been discussed in the book To ask uestionsdoubts create an issue in GitHub repository Subscribe to my youtube channelThis is not a traditional bookThe book has a lot of code If you don't like the code first approach do not buy this book Making code available on Github is not an optionThis book is for people who have some theoretical knowledge of machine learning and deep learning and want to dive into applied machine learning The book doesn't explain the algorithms but isoriented towards how and what should you use to solve machine learning and deep learning problems The book is not for you if you are looking for pure basics The book is for you if you are looking for guidance on approaching machine learning problems The book is best enjoyed with a cup of coffee and a laptopworkstation where you can code alongTable of contents Setting up your working environment Supervised vs unsupervised learning Cross validation Evaluation metrics Arranging machine learning projects Approaching categorical variables Feature engineering Feature selection Hyperparameter optimization Approaching image classification segmentation Approaching text classificationregression Approaching ensembling and stacking Approaching reproducible code model serving There are no sub headings Important terms are written in boldI will be answering all your ueries related to the book and will be making YouTube tutorials to cover what has not.

eBook Join or create book clubs ´ Approaching PDF ✓ ´

eBook Join or create book clubs ´ Approaching PDF ✓ ´ .

11 thoughts on “Approaching (Almost) Any Machine Learning Problem

  1. White Rose White Rose says:

    eBook Join or create book clubs ´ Approaching PDF ✓ ´ approaching free, almost epub, machine pdf, learning kindle, problem free, Approaching PDFEPUBWell I kind of expected this brochure to be an overview but I didn't expect it to be that shallow and chaoticThe author is jumping from statement to statement from t SNE to cross validation Sturge's rule and God knows what else all these by page 27There are no instructions on how to obtain the datasets I know how and where but that's not the point we strive for reproducibility here and we are not expected to 'believe' in certain things like in Santa or YetiThe phrases 'as you can see on this graph' are nothing but funny Where did that come from?Perhaps it is well worth 9 but no than that I will stick to the book by Aurelien GTo sum it all up I will vote for kernels and medium posts but thisit ain't a book I can't teach things but I am not trying to Perhaps we should stick to stuff we are good at?


  2. Stephen Oates Stephen Oates says:

    eBook Join or create book clubs ´ Approaching PDF ✓ ´ approaching free, almost epub, machine pdf, learning kindle, problem free, Approaching PDFEPUBKaggle has a strange reputation within the data science community On one hand it's a great source of innovation in a range of sub fields and when solving a similar problem to an existing Kaggle competition seeing how it was approached by high ranking teams is very valuable On the other it is a distorted version of what data science actually is in the real world Usually the clean data is provided to you in Kaggle whereas sourcing collecting and cleaning data is normally a big chunk of a working data scientists life Finally the approaches in Kaggle competitions are often all about sueezing that tiny improvement out of large numbers of ensembled models In the real world concessions towards speed simplicity and interpretability have to be madeThe author Abhishek Thakur was the first to achieve GM level across all 4 categories on Kaggle competitions kernels datasets and discussion Even a single GM level is an exc


  3. Danny Morris Danny Morris says:

    eBook Join or create book clubs ´ Approaching PDF ✓ ´ approaching free, almost epub, machine pdf, learning kindle, problem free, Approaching PDFEPUBReally enjoying this book for a few reasons 1 Very useful tips for organizing a ML project 2 the author promotes good coding habits using repeatable Python scripting instead of Jupyter notebooks 3 keeps the focus on implementation instead of algorithms


  4. Jeong-Yoon Lee Jeong-Yoon Lee says:

    eBook Join or create book clubs ´ Approaching PDF ✓ ´ approaching free, almost epub, machine pdf, learning kindle, problem free, Approaching PDFEPUBThis book is a master class on applied machine learning Like other master classes it’s not for beginners who’d like to learn fundamentals and theories behind Rather it’s for people who already learned the basic but still need some guidance on how to get started with ML problems in practiceThe author is the perfect person for this master class Since well before the machine learning competitions got popular and code sharing became norm in the data science community he was known for his beat the benchmark BTB solution sharing Regardless domains once an ML competition started he shared a clean and efficient solution that beat the benchmark solution shared by companies like and Facebook in a day or soBy following this book you will lear


  5. sov-skaars.coian sov-skaars.coian says:

    eBook Join or create book clubs ´ Approaching PDF ✓ ´ approaching free, almost epub, machine pdf, learning kindle, problem free, Approaching PDFEPUBThis book written by a legendary Kaggle competitor is filled with great practical knowledge and code examples in Python for approaching machine learning problems The material is explained simply and clearly Upon reading through the book I uickly began filling in gaps in my knowledge fundamental techniues or concepts that I did not know as well as I should I also learned a lot by looking at the Python code examples which show many good ways of doing things in Python that I had not known about Another good aspect of the book is the choice of datasets that are used when illustrating various techniues


  6. Parshad Parshad says:

    eBook Join or create book clubs ´ Approaching PDF ✓ ´ approaching free, almost epub, machine pdf, learning kindle, problem free, Approaching PDFEPUBI like this book for its brevity It is an excellent book for folks who already are aware of various techniues theoretically but kind of hard to pin point where and how to implement them This book definitely serves the purpose for getting one thinking about how to do it Although it is not a detailed outlook and neither do I expect as there are so many books covering that on each topic it definitely is a great reference when you’re stuck on a problem and thinking where to ponder next The code snippets are excellent as they explain how to make a certain change to a dataset problem etc and has few tricks as well which I really appreciate Of course it’s not comprehensive but again the title itself say approaching any problem and the user is supposed to know a thing or two


  7. Kindle Customer Kindle Customer says:

    eBook Join or create book clubs ´ Approaching PDF ✓ ´ approaching free, almost epub, machine pdf, learning kindle, problem free, Approaching PDFEPUBIt is just a collection of notes and codes that we keep in some random text file just to resuse it in future It doesn't give you in depth knowledge of whats and hows of things written in it Or just maybe I expected something else from this and it turned out to be a simple book of codesAnyways it would have been easier just to create a github repo with proper readme files and all instead of writing a whole book for it


  8. Risab Biswas Risab Biswas says:

    eBook Join or create book clubs ´ Approaching PDF ✓ ´ approaching free, almost epub, machine pdf, learning kindle, problem free, Approaching PDFEPUBI am a Data Scientist AI Engineer working for the last 3 years in the industry This is my honest review As the book name suggests this is the best book that you could get on practical machine learning and data science The author has written the book with great dedication and the explanations at each section is amazingI really liked the flow of the book from basic concepts to covering images and text problems advanced concepts like Entity embeddings and what notThe codes are written perfectly and in such a way that it develops a great habit of writing good uality code for any data scientist or enthusiast The author has made sure that the code is reusable and can be taken int


  9. DS DS says:

    eBook Join or create book clubs ´ Approaching PDF ✓ ´ approaching free, almost epub, machine pdf, learning kindle, problem free, Approaching PDFEPUBIt's been 11 days since I got this book I have refreshed so many topics with code and learned many new I wish to lay out a few points which helped me and I can carry from the book but before that thank you Abhishek Thakur for placing things in order And trust me I am waiting for the book you mentioned on page 271 Page 3 If you didn't code you didn't learn I think this is the best way to learn I went through a theoretical module on machine learning and initially I wasn't getting much and the moment I started coding for an assignment of the same module every bit of the module started making sense that's so common right? This book has one thing particular tha


  10. G. S. M. Potter G. S. M. Potter says:

    eBook Join or create book clubs ´ Approaching PDF ✓ ´ approaching free, almost epub, machine pdf, learning kindle, problem free, Approaching PDFEPUBI would describe myself as an experienced machine learning practitioner and found this book the most useful I have read in years I really liked the opportunity to understand why and how the author had approached the particular issues that occur in almos


  11. Suraj Nagaraj Suraj Nagaraj says:

    eBook Join or create book clubs ´ Approaching PDF ✓ ´ approaching free, almost epub, machine pdf, learning kindle, problem free, Approaching PDFEPUBThere are uite a few things to say about this book I will begin with complimenting the author’s style of articulating real world problems intertwined then with elements of code to signify the intent of this bookSecond and most important thing to consider it’s definitely not for the faint hearted Read this book if you are inclined to elevate your ML problem solving ability to the next level and importantly get code friend


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