Python For Data Science

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Python For Data Analysis

Author : Jason Test
ISBN : 9918951591
Genre :
File Size : 34.53 MB
Format : PDF, Mobi
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Master the best methods for PYTHON. Learn how to programming as a pro and get positive ROI in 7 days with data science and machine learning Are you looking for a super-fast computer programming course? Would you like to learn the Python Programming Language in 7 days? Do you want to increase your business thanks to the web applications? If so, keep reading: this bundle book is for you! Today, thanks to computer programming and PYTHON we can work with sophisticated machines that can study human behavior and identify underlying human behavioral patterns. Scientists can predict effectively what products and services consumers are interested in. It is getting increasingly challenging for traditional businesses to retain their customers without adopting one or more of the cutting-edge technology explained in this book. PYTHON FOR DATA ANALYSIS will introduce you many selected tips and breaking down the basics of coding. You will discover as a beginner the world of data science, machine learning and artificial intelligence. The description of each topic is crystal-clear and you can easily practice with related exercises. Examples and step-by-step guides will guide you during the code-writing learning process. The following list is just a tiny fraction of what you will learn in this bundle: PYTHON FOR DATA SCIENCE ✅ The basics of Python programming ✅ Differences among programming languages: Vba, SQL, R, Python ✅ 3 reasons why Python is fundamental for Data Science ✅ Introduction to some Python libraries like NumPy, Pandas, Matplotlib, ✅ Python design patterns ✅ 3 step system why Python is fundamental for Data Science ✅Optimal tools and techniques for data visualization ✅ Analysis of popular Python projects templates ✅ Game creation with Pyhton PYTHON CRASH COURSE ✅ A Proven Method to Write your First Program in 7 Days ✅ 3 Common Mistakes to Avoid when You Start Coding ✅ Fit Python Data Analysis to your business ✅ A Simple Strategy to Write Clean, Understandable and Flexible Codes ✅ The One Thing You Need to Debug your Codes in Python ✅ 5 Practical exercises to start programming ✅ 7 Most effective Machine Learning Algorithms Even if you have never written a programming code before, you will quickly grasp the basics thanks to visual charts and guidelines for coding. Today is the best day to start programming like a pro. It's never too late to learn a coding language, whether you're 19 or 50! If you really wish to learn Python and master its language, please click the BUY NOW button.
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Python For Data Science For Dummies

Author : John Paul Mueller
ISBN : 9781119547624
Genre : Computers
File Size : 20.37 MB
Format : PDF, ePub
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The fast and easy way to learn Python programming and statistics Python is a general-purpose programming language created in the late 1980s—and named after Monty Python—that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud. Get started with data science and Python Visualize information Wrangle data Learn from data The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.
Category: Computers

Python For Data Analysis

Author : Wes McKinney
ISBN : 9781449319793
Genre : Computers
File Size : 31.35 MB
Format : PDF, ePub
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Presents case studies and instructions on how to solve data analysis problems using Python.
Category: Computers

Python For Data Science The Ultimate Beginner S Guide To Learn Data Science Analysis And Machine Learning From Scratch With Step By Step Exe

Author : John Russel
ISBN : 1913922448
Genre : Computers
File Size : 26.16 MB
Format : PDF, Kindle
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Looking for methods that you can use to make yourself more competitive in your industry? Or are you worried about what your customers may think about your products or services? The truth is...In the modern world, data has become fundamental, and companies are finding new ways to use the insights provided by data to improve their bottom line and customer experience. This is sometimes a challenge. There is so much data that figuring out what steps to take, and what is found in that data is not always as easy as we would like. The good news is that working with data science can help you learn more about your customers and your industry, with the use of a simple coding language, and give you the insights and predictions that you need to see some great improvements with your business. And that's what you'll learn in Python for Data Science. Python for Data Science is going to spend some time looking at all of the neat things that we can do with data science, so you can finally beat out the competition and increase your bottom line, all while helping out the customer. You will learn: Why Data Science is so Important in our Fast-Paced World of Today 5 Practical Applications of Data Science Best Data Science Library that will help us to Get our Work Done with Python A Simple Technique to Set Up our Virtual Environment Proven Strategies to Get High-Quality Data Tips and Tricks to Get your Data Organized Data Analytics and Why It is so Important What Machine Learning is all About and How it Fit into your Data Science Projects Learning how data science works and how to complete your own data analysis in the process is going to be very important to the amount of success that you are going to see. Even if you're completely new to data science or you've done some programming before and are looking to switch to an exciting new career track in Data Science, Python for Data Science will teach you all the practical techniques used by real-world data scientists and analysts to solve problems. Would You Like to Know More? Get this Book Now to Master Python for Data Science!
Category: Computers

Python Data Science Essentials

Author : Alberto Boschetti
ISBN : 9781785287893
Genre : Computers
File Size : 73.81 MB
Format : PDF, Kindle
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If you are an aspiring data scientist and you have at least a working knowledge of data analysis and Python, this book will get you started in data science. Data analysts with experience of R or MATLAB will also find the book to be a comprehensive reference to enhance their data manipulation and machine learning skills.
Category: Computers

Python Real World Data Science

Author : Dusty Phillips
ISBN : 9781786468413
Genre : Computers
File Size : 47.16 MB
Format : PDF, Mobi
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Unleash the power of Python and its robust data science capabilities About This Book Unleash the power of Python 3 objects Learn to use powerful Python libraries for effective data processing and analysis Harness the power of Python to analyze data and create insightful predictive models Unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics Who This Book Is For Entry-level analysts who want to enter in the data science world will find this course very useful to get themselves acquainted with Python's data science capabilities for doing real-world data analysis. What You Will Learn Install and setup Python Implement objects in Python by creating classes and defining methods Get acquainted with NumPy to use it with arrays and array-oriented computing in data analysis Create effective visualizations for presenting your data using Matplotlib Process and analyze data using the time series capabilities of pandas Interact with different kind of database systems, such as file, disk format, Mongo, and Redis Apply data mining concepts to real-world problems Compute on big data, including real-time data from the Internet Explore how to use different machine learning models to ask different questions of your data In Detail The Python: Real-World Data Science course will take you on a journey to become an efficient data science practitioner by thoroughly understanding the key concepts of Python. This learning path is divided into four modules and each module are a mini course in their own right, and as you complete each one, you'll have gained key skills and be ready for the material in the next module. The course begins with getting your Python fundamentals nailed down. After getting familiar with Python core concepts, it's time that you dive into the field of data science. In the second module, you'll learn how to perform data analysis using Python in a practical and example-driven way. The third module will teach you how to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis to more complex data types including text, images, and graphs. Machine learning and predictive analytics have become the most important approaches to uncover data gold mines. In the final module, we'll discuss the necessary details regarding machine learning concepts, offering intuitive yet informative explanations on how machine learning algorithms work, how to use them, and most importantly, how to avoid the common pitfalls. Style and approach This course includes all the resources that will help you jump into the data science field with Python and learn how to make sense of data. The aim is to create a smooth learning path that will teach you how to get started with powerful Python libraries and perform various data science techniques in depth.
Category: Computers

A Tour Of Data Science

Author : Nailong Zhang
ISBN : 9781000215199
Genre : Computers
File Size : 76.79 MB
Format : PDF, ePub, Mobi
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A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. It does not cover everything, but rather, teaches the key concepts and topics in Data Science. It also covers two of the most popular programming languages used in Data Science, R and Python, in one source. Key features: Allows you to learn R and Python in parallel Cover statistics, programming, optimization and predictive modelling, and the popular data manipulation tools – data.table and pandas Provides a concise and accessible presentation Includes machine learning algorithms implemented from scratch, linear regression, lasso, ridge, logistic regression, gradient boosting trees, etc. Appealing to data scientists, statisticians, quantitative analysts, and others who want to learn programming with R and Python from a data science perspective.
Category: Computers

Python For Data Science

Author : Jason Wes
ISBN : 1701815192
Genre :
File Size : 49.62 MB
Format : PDF, Kindle
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Are you a beginner and would like to learn Python in order to develop the necessary skills for data analysis and know where to start? Have you always wanted to start Data analysis but are afraid it'll be too difficult for you? this discursive guide is perfect to start learning python data analysis and python machine learning. Also many companies are finding that there is a wealth of data and knowledge available to them. With just a little bit of searching, they are able to learn almost any topic that they want. This provides them with a lot of important information that can answer many business questions. However, with all of this data available, it is no wonder that many companies are feeling overwhelmed, and they are not sure how to handle all of this data.This is where the data analysis is going to come into play. Data analysis helps us to take all of that data we have been able to collect, and then runs through it to find all of the insights and predictions, and even hidden patterns, that are present inside. With this information, a company is able to make sound business decisions about which products to release, which steps to take to beat out the competition, and so much more.this guidebook is going to take some time to explore this information, and how we can use it for our needs. Some of the topics that we will discuss are: What a data analysis is all about, and why it is so important to the success of your business. A bit about the Python language and why it can come in and help us to see success with our data analysis. The different types of data that we can work with. What machine learning is and the different types of machine learning the BEST TIPS we can follow to complete our data analysis How to add in some data visualization to our work to improve the results that we see. Examples of how we can perform a Python data analysis to improve our business and get some amazing results. Data analysis is one of the next steps that you have to take to bring yourself or your business to the next level. We cannot afford to be left behind. Technology doesn't wait. Scroll up and click the buy now button.
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Learning Path

Author :
ISBN : OCLC:1137157385
Genre :
File Size : 26.85 MB
Format : PDF, Docs
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"Python has become the language of choice of data scientists for performing data analysis, visualization, and machine learning. If you're looking forward to implementing Python in your data science projects to enhance data discovery, then this is the perfect Learning Path for you. Starting out at the basic level, this Learning Path will take you through all the stages of data science in a step-by-step manner. We begin this journey with nailing down the fundamentals of Python. You'll be introduced to basic and advanced programming concepts of Python before moving on to data science topics. Then, you'll learn how to perform data analysis by taking advantage of the core data science libraries in the Python ecosystem. You'll also get a better understanding of the data visualization concepts, how to apply them, and how you can overcome any challenges while implementing them. Moving ahead, you'll learn to use a wide variety of machine learning algorithms to solve real-world problems. Finally, you'll learn deep learning along with an introduction to TensorFlow. By the end of the Learning Path, you'll be able to efficiently make use of Python in your data science projects."--Resource description page.
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Data Science Projects With Python

Author : Stephen Klosterman
ISBN : 9781838552602
Genre : Computers
File Size : 58.60 MB
Format : PDF
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Gain hands-on experience with industry-standard data analysis and machine learning tools in Python Key Features Learn techniques to use data to identify the exact problem to be solved Visualize data using different graphs Identify how to select an appropriate algorithm for data extraction Book Description Data Science Projects with Python is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The book will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You’ll discover how to tune the algorithms to provide the best predictions on new and, unseen data. As you delve into later chapters, you’ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. By the end of this book, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from unstructured data. What you will learn Install the required packages to set up a data science coding environment Load data into a Jupyter Notebook running Python Use Matplotlib to create data visualizations Fit a model using scikit-learn Use lasso and ridge regression to reduce overfitting Fit and tune a random forest model and compare performance with logistic regression Create visuals using the output of the Jupyter Notebook Who this book is for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful.
Category: Computers

Python For Data Science

Author : Jason Callaway
ISBN : 9798676278519
Genre :
File Size : 62.94 MB
Format : PDF, Kindle
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Are you searching for the fastest way to become proficient in the fascinating world of data science? If you are a student or a professional looking for more technical skills, or if you are simply curious about the most up-to-date techniques of data analysis and their powerful applications, then this is definitely the book for you. Learning all the required skills to master data science and machine learning could certainly be challenging, but in this book, Jason Callaway has condensed all the knowledge you need in a simple and practical way. Through his revolutionary and systematic approach, you will learn, regardless of your previous experience, the techniques to manipulate and process datasets, the principles of Python programming, and their real-world applications. Here's just a tiny fraction of what you will discover: What data science is, and why it has become fundamental in hundreds of business and technological applications The basics of Python programming Essential Python libraries such as NumPy, Pandas, Matplotlib All the most effective computational methods for data analysis Data visualization tools and techniques How to build statistical and machine learning models (even if you are brand new to programming) The future of Artificial Intelligence How to build neural networks with Python Step-by-step exercises, practical examples, tips and tricks If you are ready to develop a successful career in the growing industry of data science, then click the BUY button and get your copy!
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Python For Data Analysis

Author : Konnor Cluster
ISBN : 1705753531
Genre :
File Size : 60.42 MB
Format : PDF, ePub
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If you need to learn how to use the Python Programming Language to implement your own Data Analysis solution, and you are searching for a reference to start from, then keep reading. Data Analysis represents now one of the most interesting and useful applications among all the possible applications of Machine Learning and Artificial Intelligence. It represents also an incredible opportunity if you want to grow your business or if you are searching for a new job, but it requires a solid background in terms of processes and technologies involved. Developing your first Data Analysis project is a challenging task, and it can be vital to rely on a good guide. This book can assist you in understanding What is and how Data Analysis works How to set up your home computer to start your projects How to develop a Data Analysis project How to use the most popular Data Analysis libraries Even if you have not a degree in computer science or math, even if you have never worked on a Data Analysis project, with this book you can understand how to benefit from this set of technologies and unlock their extraordinary potential. If you want to give a new meaning to your data using the most modern Data Analysis techniques, scroll up and click the buy now button!
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Python For Data Science

Author : Erick Thompson
ISBN : 1801235171
Genre :
File Size : 83.90 MB
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Are you looking for a crash course that will help you learn Python? Do you want to master data science using Python? If yes, then keep reading! Python is one of the most popular programming languages in the word in 2020 and specially for data science. Every day people use it to do cool things like Automation, they use it in Artificial Intelligence, Machine Learning, as well as Building Applications and Websites like Instagram and Dropbox. YouTube, Pinterest, and SurveyMonkey are all built on Python. So if you are looking for a trendy job, like data scientist, Python is for you. This is a Python guide with 2 Books in 1: Python crash course Python for data analysis Python has seen an explosion in popularity in recent years, driven by several aspects that make it an incredibly versatile and intuitive language. Moreover, data analysis plays a significant job in numerous parts of your regular day to day existence today. Organizations use information to Understand Their Customer Needs and produce the Best Possible Product or Service. Python Programming Language is one of the best framework with regards to information examination. Data Scientist is the most requested job of the 21st century and Python is the most popular programming language of the 21st century. So it's pretty obvious that anyone have skills in both Data Science and Python will be in great demand in industry. You needn't bother with an exhausting and costly reading material. This guide is the best one for every readers. This guide covers: The world of data science technologies Application of machine learning Data scientist: the sexiest job in the 21st century Learning Python from scratch Data analysis with Python NumPy for numerical data processing Data visualization with Python Projects on Python And much more! Despite its simplicity, Python is also sturdy and robust enough to carry out complex scientific and mathematical tasks. Python has been designed with features that drastically simplify the visualization and analysis of data, and Python is also the go-to choice for the creation of machine learning models and artificial intelligence. Be it machine learning, data analytics, data processing, web development, enterprise software development or taking the photo of Blackhole: Python is everywhere. Beloved by the data scientists and new generation developers, Pyhton will eat the word! Ready to get started? Click the BUY NOW button!
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Python Data Analysis

Author : Armando Fandango
ISBN : 9781787127920
Genre : Computers
File Size : 42.91 MB
Format : PDF, Docs
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Learn how to apply powerful data analysis techniques with popular open source Python modules About This Book Find, manipulate, and analyze your data using the Python 3.5 libraries Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code An easy-to-follow guide with realistic examples that are frequently used in real-world data analysis projects. Who This Book Is For This book is for programmers, scientists, and engineers who have the knowledge of Python and know the basics of data science. It is for those who wish to learn different data analysis methods using Python 3.5 and its libraries. This book contains all the basic ingredients you need to become an expert data analyst. What You Will Learn Install open source Python modules such NumPy, SciPy, Pandas, stasmodels, scikit-learn,theano, keras, and tensorflow on various platforms Prepare and clean your data, and use it for exploratory analysis Manipulate your data with Pandas Retrieve and store your data from RDBMS, NoSQL, and distributed filesystems such as HDFS and HDF5 Visualize your data with open source libraries such as matplotlib, bokeh, and plotly Learn about various machine learning methods such as supervised, unsupervised, probabilistic, and Bayesian Understand signal processing and time series data analysis Get to grips with graph processing and social network analysis In Detail Data analysis techniques generate useful insights from small and large volumes of data. Python, with its strong set of libraries, has become a popular platform to conduct various data analysis and predictive modeling tasks. With this book, you will learn how to process and manipulate data with Python for complex analysis and modeling. We learn data manipulations such as aggregating, concatenating, appending, cleaning, and handling missing values, with NumPy and Pandas. The book covers how to store and retrieve data from various data sources such as SQL and NoSQL, CSV fies, and HDF5. We learn how to visualize data using visualization libraries, along with advanced topics such as signal processing, time series, textual data analysis, machine learning, and social media analysis. The book covers a plethora of Python modules, such as matplotlib, statsmodels, scikit-learn, and NLTK. It also covers using Python with external environments such as R, Fortran, C/C++, and Boost libraries. Style and approach The book takes a very comprehensive approach to enhance your understanding of data analysis. Sufficient real-world examples and use cases are included in the book to help you grasp the concepts quickly and apply them easily in your day-to-day work. Packed with clear, easy to follow examples, this book will turn you into an ace data analyst in no time.
Category: Computers

Python

Author : Jason Callaway
ISBN : 9798676021375
Genre :
File Size : 27.7 MB
Format : PDF, ePub, Mobi
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Are you searching for the fastest way to become proficient in Python programming? If you are a student or a professional looking for more technical skills, then this is definitely the book for you. 2 BOOKS IN 1 In this phenomenal bundle Jason Callaway has condensed all the knowledge you need in a simple and clear way, with practical examples, detailed explanations, tips and tricks from his experience. His revolutionary approach will speed up your learning, allowing you to master the Python language and its powerful applications in an extremely short time, even if you are a complete beginner. Here is just a tiny fraction of what you will learn: The basics of Python programming Variables, data types, basic and advanced operations Essential Python libraries such as NumPy, Pandas, Matplotlib The most up-to-date computational methods for data analysis Data visualization tools and techniques Real world Python programming applications: machine learning and the future of artificial intelligence How to build neural networks with Python Step-by-step exercises, practical examples, tips and tricks You will be amazed by the large number of programs that you will be able to create in no time. If you are ready to develop a successful career in the growing industry of data science, then click the BUY button and get your copy!
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Python For Data Analysis

Author : Erick Thompson
ISBN : 1801235147
Genre :
File Size : 24.40 MB
Format : PDF, Docs
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Do you want to master data using python? If yes, then keep reading! Data analysis plays a significant job in numerous parts of your regular day to day existence today. From the second you wake up, you cooperate with information at various levels. A great deal of significant choices are made dependent on information examination. None of the organizations would capacity and run effectively without individuals who realize how to utilize ace this incredible asset. Organizations use information to Understand Their Customer Needs and produce the Best Possible Product or Service. Python Programming Language is one of the best framework with regards to information examination, and in the event that you are considering starting your own business some time or another or as of now have one, this is certainly a device you should comprehend and utilize. Data Scientist is the most requested job of the 21st century and Python is the most popular programming language of the 21st century. The average salary of a Data Scientist is around 120 thousand dollars per year and the average salary of a Pythton Developer is around 100 thousand dollars. So it's pretty obvious that anyone have skills in both Data Science and Python will be in great demand in industry. You needn't bother with an exhausting and costly reading material. This book is the best one for every readers. This book covers: - Introduction to Python and data analysis - Python basics - Python history - Installing Python - Data analysis with Python - NumPy for numerical data processing - Data visualization with Python - Machine learning with Python And much more! Be it Data Processing, Data Analytics, Data Modeling, Data Visualization, Data Predictive, Machine Learning, or taking the photo of Blackhole: Python is everywhere and it is the most powerful programming language of 21st century. Beloved by the data scientists and new generation developers, Pyhton will eat the word! Ready to get started? Click "Buy Now"!
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Python Data Analysis

Author : Ivan Idris
ISBN : 9781783553365
Genre : Computers
File Size : 57.9 MB
Format : PDF, ePub, Mobi
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This book is for programmers, scientists, and engineers who have knowledge of the Python language and know the basics of data science. It is for those who wish to learn different data analysis methods using Python and its libraries. This book contains all the basic ingredients you need to become an expert data analyst.
Category: Computers

Python For Data Analysis

Author : Zed Fast
ISBN : 1670447200
Genre :
File Size : 45.42 MB
Format : PDF, ePub, Docs
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Are you interested in learning more about your customers' needs? What would it be like if you were able to go through and really reduce waste, make good decisions, and beat out the competition? What if you could finally put all of that data you have been collecting for all of this time to good use, and ensure that you were really reaching your full potential? All of this and more can be done with the help of data analysis and data science, with the help of Python and machine learning. This guidebook is going to lead you from your data analysis idea, all of the way to actually completing your own analysis in no time. You will learn: What a data analysis is all about and why businesses are trying to make one of these works on all the data they have collected. The steps to complete our own data analysis. Why the Python language is one of the best choices for data analysis. How the world of machine learning is able to fit into this to make things easier. Data preparation and cleaning. Some of the most common libraries to complete data analysis, including Pandas, NumPy, and IPython. How these data visuals can help you to understand the data you are working with. Some of the main industries that are using data to improve their business. Even if you never used data analysis, learning it is easier than it looks, you just need the right guidance. This practical guide can bring your business to the front of competition. Scroll up and Buy now to make the most of your data.
Category:

Python Data Science

Author : John TACKE
ISBN : 9798670151849
Genre :
File Size : 72.28 MB
Format : PDF, Mobi
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This book is the perfect guide for people who want to learn about Phyton programming, in particular its application for data science. There are so many great ways that you can use the data you have been collecting for some time now, and being able to complete the process of data visualization will ensure that you get it all done, when you are ready to get started with Python data science. This guide book contains: What Is Data Science And Why Should You Learn It Using Python Can I Use Probability And Statistics To Help Me With Machine Learning? Work With Numpy Work With Pandas Learning About Functions Identifying The Nearest Neighbors Learning About Functions Deep Learning Vs Machine Learning Applications Of Big Data Analysis And many more! Loops are going to be next on the list of topics we need to explore when we are working with Python. These are going to be a great way to clean up some of the code that you are working on so that you can add in a ton of information and processing in the code, without having to go through the process of writing out all those lines of code. For example, if you would like a program that would count out all of the numbers that go from one to one hundred, you would not want to write out that many lines of code along the way. Or if you would like to create a program for doing a multiplication table, this would take forever as well. But doing a loop can help to get all of this done in just a few lines of code, saving you a lot of time and code writing in the process. Want to know more about this book? Buy now!
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Python For Data Science

Author : Computer Science Academy
ISBN : 1801255253
Genre : Computers
File Size : 65.5 MB
Format : PDF, ePub
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Are you looking to master the fundamental concepts of Data Science? Do you want to learn the Python programming language? Do you want to develop a solid understanding of all the latest innovative technologies? This is the book for you! This book is essential to help you master the core concepts of Python programming and utilize your coding skills to analyze a large volume of data. This programming language can be used for a variety of coding projects including machine learning algorithms, web applications, data mining and visualization, game development. Some of the highlights of this book include: - The five major stages of the TDSP lifecycle - Installation instructions for Python - Python coding concepts such as data types, classes, and objects variables, numbers, constructor functions, Booleans and much more. - Learn the functioning of various data science libraries like Scikit-Learn, which has evolved as the gold standard for machine learning and data analysis. - Deep dive into the Matplotlib library, which offers visualization tools and science computing modules supported by SciPy and learn how to create various graphs using Matplotlib and Pandas library. - Learn how machine learning allows analysis of large volumes of data and delivers faster and more accurate results. - Overview of four different machine learning algorithms. - Learn how companies are able to employ a predictive analytics model to gain an understanding of customer interactions with their products or services based on customer's feelings or emotions shared on the social media platforms. Every concept in this book is explained with examples and exercises so you can learn and test your learning at the same time. Remember, knowledge is power! Your Python programming skillset will improve drastically, and you will be poised to develop your very own machine learning model in no time. So don't wait and click on that BUY NOW button!
Category: Computers