Data Science Projects with Python: A case study approach to successful data science projects using Python pandas and scikit-learn characters É 107

read & download Data Science Projects with Python: A case study approach to successful data science projects using Python, pandas, and scikit-learn

Data Science Projects with Python: A case study approach to successful data science projects using Python, pandas, and scikit-learn characters É 107 ☆ [Epub] ➟ Data Science Projects with Python: A case study approach to succesProjects with Epub #221 Gain hands on experience with industry standard data analysis and machine learning tools in PythonKey FeaturesTackle data science problems by identifying the problem to be solvedIllustrate patterns in data using appropriate visualizationsImplement suitable machine learning algorithms to gain insights from dataBook DescriptionData Science Projects with Python is designed to give you practical guidance Science Projects with Python A PDF or on industry standard data analysis and machine learning tools by applying them to realistic Data Science PDFEPUBdata problems You will learn how to use pandas and Matplotlib to critically examine datasets with summary statistics and graphs and extract the insights you seek to derive You will build your knowledge as you prepare data using the scikit learn package and feed it to machine lea. Livre bien fait

Stephen Klosterman ☆ 7 free download

Rning algorithms such as regularized logistic regression and random forest You'll discover how to tune algorithms to provide the most accurate Science Projects with PDF #10003 predictions on new and unseen data As you progress you'll gain insights into the working and output of these algorithms building your understanding of both the predictive capabilities of the models and why they make these predictionsBy then end of this book you will have the necessary skills to confidently use machine learning algorithms to perform detailed data analysis and extract meaningful insights from unstructured dataWhat you will Science Projects with Python A PDF or learnInstall the reuired packages to set up a data science coding environmentLoad data into a Jupyter notebook running PythonUse Matplotlib to create data visualizationsFit machine learning models usin. This could have been a good book but it relies heavily on examples that are unengaging and uses references to colour keyed datasets in graphs that are printed in black and white Sloppy editing and a generally disappointing book would not recommend

free read µ eBook, PDF or Kindle ePUB ☆ Stephen Klosterman

Data Science Projects with Python A case study approach to successful data science projects using Python pandas and scikit learnG scikit learnUse lasso and ridge regression to regularize your modelsCompare performance between models to find the best outcomesUse k fold cross validation to select model hyperparametersWho this book is forIf you are a data analyst data scientist or business analyst who wants to get started using Python and machine learning techniues to analyze data and predict outcomes this book is for you Basic knowledge of Python and data analytics will help you get the most from this book Familiarity with mathematical concepts such as algebra and basic statistics will also be usefulTable of ContentsData Exploration and Cleaning Introduction to Scikit Learn and Model EvaluationDetails of Logistic Regression and Feature ExplorationThe Bias Variance Trade offDecision Trees and Random ForestsImputation of Missing Data Financial Analysis and Delivery to Client. This book teaches you the best practices of data science and machine learning based on real world case studies I found this highly valuable because you are able to actually work on real data sets This is also a uick way to learn industry recognized tools and mathematical concepts that are actually being used by data scientist Another advantage of this book in my opinion is the author's approach for coding Author writes and explains each code and outcome separately rather than giving you several paragraphs of code and explain them all at once I strongly recommend this book if you want to learn data science and machine learning on a practical level applying code and assessing the outcome