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

Price: $20.49
(as of Apr 13,2021 17:00:23 UTC – Details)


Gain hands-on expertise with industry-standard data evaluation and machine studying instruments in Python

Key Features

  • Tackle data science issues by figuring out the issue to be solved
  • Illustrate patterns in data using acceptable visualizations
  • Implement appropriate machine studying algorithms to acquire insights from data

Book Description

Data Science Projects with Python is designed to provide you with sensible steerage on industry-standard data evaluation and machine studying instruments, by making use of them to practical data issues. You will learn the way to use pandas and Matplotlib to critically study datasets with abstract statistics and graphs, and extract the insights you search to derive. You will construct your information as you put together data using the scikit-learn bundle and feed it to machine studying algorithms corresponding to regularized logistic regression and random forest. You’ll uncover how to tune algorithms to present probably the most correct predictions on new and unseen data. As you progress, you will acquire insights into the working and output of those algorithms, constructing your understanding of each the predictive capabilities of the fashions and why they make these predictions.

By then finish of this guide, you’ll have the required abilities to confidently use machine studying algorithms to carry out detailed data evaluation and extract significant insights from unstructured data.

What you’ll be taught

  • Install the required packages to arrange a data science coding setting
  • Load data right into a Jupyter pocket book working Python
  • Use Matplotlib to create data visualizations
  • Fit machine studying fashions using scikit-learn
  • Use lasso and ridge regression to regularize your fashions
  • Compare efficiency between fashions to discover the perfect outcomes
  • Use k-fold cross-validation to choose mannequin hyperparameters

Who this guide is for

If you’re a data analyst, data scientist, or enterprise analyst who desires to get began using Python and machine studying strategies to analyze data and predict outcomes, this guide is for you. Basic information of Python and data analytics will enable you to get probably the most from this guide. Familiarity with mathematical ideas corresponding to algebra and primary statistics may also be helpful.

Table of Contents

  1. Data Exploration and Cleaning
  2. Introduction to Scikit-Learn and Model Evaluation
  3. Details of Logistic Regression and Feature Exploration
  4. The Bias-Variance Trade-off
  5. Decision Trees and Random Forests
  6. Imputation of Missing Data, Financial Analysis, and Delivery to Client


From the Publisher

Woman learning Python with the Python data science tutorial Data Science Projects with PythonWoman learning Python with the Python data science tutorial Data Science Projects with Python

Woman viewing the Data Science with Python and learning Python data science on a laptop outdoorsWoman viewing the Data Science with Python and learning Python data science on a laptop outdoors

About Data Science Projects with Python

Data Science Projects with Python is a hands-on introduction to real-world data science. You’ll take an lively approach to studying by following actual case research that elegantly tie collectively arithmetic and code.

You’ll begin by studying how to study, extract and current insights from your personal data with instruments like pandas and Matplotlib. You’ll construct upon these abilities as you begin feeding data into machine studying algorithms with sci-kit be taught, tuning them individually as you learn the way they make their predictions.

Data Science Projects with Python is right in case you’re searching for steerage on industry-standard data evaluation and machine studying instruments. You’ll learn the way to navigate your personal unstructured data, extracting significant insights alongside the best way.

Key Features

Ideal introduction to data science for these already acquainted with foundational Python

Full of sensible step-by-step workouts, actions and options

Structured to allow you to pause and progress studying in your phrases

Learn Real-World Data Science

Open laptop screen using Visual Studio Code, using Data Science with Python

Open laptop screen using Visual Studio Code, using Data Science with Python

Laptop overlooking view, laptop on standby whilst working through Data Science with Python

Laptop overlooking view, laptop on standby whilst working through Data Science with Python

Experts working together with open laptops designing Data Science with Python

Experts working together with open laptops designing Data Science with Python

Real-World Exercises and Activities

You’ll full step-by-step workouts that construct sensible, hands-on abilities. Activities then problem you to apply and lengthen your new talents. It’s a confirmed construction that is designed to hack your mind and embed your studying.

Learning On Your Terms

It could be powerful to handle studying round your current commitments. With a construction that allows you to choose up and progress at your personal tempo, you are way more doubtless to attain your purpose. It’s time to take again management of your schedule.

Developed by Trusted Experts

Every undertaking brings collectively a workforce of skilled authors, instructors, and technical editors. You’ll discover step-by-step steerage from begin to end, full with labored options. You will not ever be caught with an instance that does not compile.

Two men together at a table, verifying their Python skill online after completing a Python tutorialTwo men together at a table, verifying their Python skill online after completing a Python tutorial

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