📊 Data Science

From machine learning algorithms to statistical modeling, these books equip readers to extract meaning from massive datasets and wield data as a tool for discovery and decision-making.

Python Data Science Handbook

by Jake VanderPlas • 2016

Four libraries, one workflow: the Python path from raw data to validated predictions.

4.29

676

🤖 Machine Learning 🐍 Scientific Python 🧹 Data Preprocessing ⚙️ Feature Engineering ✅ Model Validation

Python Data Science Handbook

Four libraries, one workflow: the Python path from raw data to validated predictions.

by Jake VanderPlas 2016

4.29

676 ratings

🤖 Machine Learning 🐍 Scientific Python 🧹 Data Preprocessing ⚙️ Feature Engineering ✅ Model Validation

The Hundred-Page Machine Learning Book

by Andriy Burkov • 2019

The one-sitting machine learning education: a hundred pages, no code, every algorithm that matters.

4.25

1k+

🤖 Machine Learning 📚 Classical Machine Learning 📈 Statistical Learning 🏫 Supervised Learning 🕸️ Neural Networks

The Hundred-Page Machine Learning Book

The one-sitting machine learning education: a hundred pages, no code, every algorithm that matters.

by Andriy Burkov 2019

4.25

1k+ ratings

🤖 Machine Learning 📚 Classical Machine Learning 📈 Statistical Learning 🏫 Supervised Learning 🕸️ Neural Networks

Predictive Analytics

by Eric Siegel • 2013

Companies know whether you'll leave, buy, or default before you've decided. Here's how.

3.66

2k+

🔮 Predictive Analytics 📈 Big Data 🤖 Machine Learning 🧠 Behavioral Prediction 💼 Business Analytics

Predictive Analytics

Companies know whether you'll leave, buy, or default before you've decided. Here's how.

by Eric Siegel 2013

3.66

2k+ ratings

🔮 Predictive Analytics 📈 Big Data 🤖 Machine Learning 🧠 Behavioral Prediction 💼 Business Analytics

Introduction to Machine Learning with Python

by Andreas C. Müller • 2015

Build models that generalize, not just memorize: a Python data scientist's guide.

4.33

600

🤖 Applied Machine Learning 🏷️ Supervised Learning 🐍 Scikit-Learn 🔧 Feature Engineering 🌲 Ensemble Learning

Introduction to Machine Learning with Python

Build models that generalize, not just memorize: a Python data scientist's guide.

by Andreas C. Müller 2015

4.33

600 ratings

🤖 Applied Machine Learning 🏷️ Supervised Learning 🐍 Scikit-Learn 🔧 Feature Engineering 🌲 Ensemble Learning

Python for Geeks

by Muhammad Asif • 2021

Machine learning from notebook to production: Python libraries, data prep, and deployment paths.

4.50

🐍 Python Programming ⚙️ Machine Learning Engineering 🚀 Production Deployment ☁️ Serverless Computing 🗄️ Data Engineering

Python for Geeks

Machine learning from notebook to production: Python libraries, data prep, and deployment paths.

by Muhammad Asif 2021

4.50

8 ratings

🐍 Python Programming ⚙️ Machine Learning Engineering 🚀 Production Deployment ☁️ Serverless Computing 🗄️ Data Engineering

Predictive Analytics For Dummies

by Anasse Bari • 2013

A guide to building models that forecast, classify, and find hidden patterns, without a math degree.

3.74

111

🔮 Predictive Modeling 🐥 Beginner Guides 🧹 Data Preparation 🧩 Clustering 📈 Regression Analysis

Predictive Analytics For Dummies

A guide to building models that forecast, classify, and find hidden patterns, without a math degree.

by Anasse Bari 2013

3.74

111 ratings

🔮 Predictive Modeling 🐥 Beginner Guides 🧹 Data Preparation 🧩 Clustering 📈 Regression Analysis

Doing Data Science

by Cathy O'Neil • 2013

Your model is lying to you. The ninety percent of data science that algorithms won't fix.

3.73

567

📈 Statistical Thinking 🧹 Data Wrangling 🔧 Feature Engineering 🔗 Causal Inference 🗄️ Big Data

Doing Data Science

Your model is lying to you. The ninety percent of data science that algorithms won't fix.

by Cathy O'Neil 2013

3.73

567 ratings

📈 Statistical Thinking 🧹 Data Wrangling 🔧 Feature Engineering 🔗 Causal Inference 🗄️ Big Data

Confident Data Skills

by Kirill Eremenko • 2018

From messy data to clean insights to persuasive presentations: the process that lands the promotion.

4.12

211

📖 Data Literacy 🤖 Machine Learning Basics 📈 Data Visualization 🧹 Data Preparation 🎯 Data-Driven Decision Making

Confident Data Skills

From messy data to clean insights to persuasive presentations: the process that lands the promotion.

by Kirill Eremenko 2018

4.12

211 ratings

📖 Data Literacy 🤖 Machine Learning Basics 📈 Data Visualization 🧹 Data Preparation 🎯 Data-Driven Decision Making

AI for Data Science

by Zacharias Voulgaris • 2018

The real AI toolkit goes beyond deep learning: optimization, fuzzy logic, ensembles.

4.55

🧠 Deep Learning ⚙️ Optimization Algorithms 🤝 Ensemble Methods 📈 Big Data Analytics ⚖️ Ai Ethics

AI for Data Science

The real AI toolkit goes beyond deep learning: optimization, fuzzy logic, ensembles.

by Zacharias Voulgaris 2018

4.55

20 ratings

🧠 Deep Learning ⚙️ Optimization Algorithms 🤝 Ensemble Methods 📈 Big Data Analytics ⚖️ Ai Ethics

Python Data Science

by Christopher Wilkinson • 2019

Python taught for data science: syntax, data structures, and the libraries that unlock the field.

2.50

🐍 Python Programming 📐 Programming Fundamentals 🔧 Data Analysis Tools 🌐 Python Ecosystem 🌱 New Programmers

Python Data Science

Python taught for data science: syntax, data structures, and the libraries that unlock the field.

by Christopher Wilkinson 2019

2.50

2 ratings

🐍 Python Programming 📐 Programming Fundamentals 🔧 Data Analysis Tools 🌐 Python Ecosystem 🌱 New Programmers

Why Study Mathematics?

by Vicky Neale • 2020

A math degree opens careers from kidney swaps to climate models. Effort trumps genius every time.

3.97

📐 Applied Mathematics 🧠 Growth Mindset ➗ Mathematical Thinking 📖 Popular Mathematics 🎓 College Prep

Why Study Mathematics?

A math degree opens careers from kidney swaps to climate models. Effort trumps genius every time.

by Vicky Neale 2020

3.97

38 ratings

📐 Applied Mathematics 🧠 Growth Mindset ➗ Mathematical Thinking 📖 Popular Mathematics 🎓 College Prep

Python Machine Learning Case Studies

by Danish Haroon • 2017

Five Python case studies in machine learning: from data cleanup to a scored model, step by step.

2.60

🤖 Machine Learning 🔍 Exploratory Data Analysis ⚙️ Feature Engineering 📐 Model Evaluation 📈 Time Series Forecasting

Python Machine Learning Case Studies

Five Python case studies in machine learning: from data cleanup to a scored model, step by step.

by Danish Haroon 2017

2.60

5 ratings

🤖 Machine Learning 🔍 Exploratory Data Analysis ⚙️ Feature Engineering 📐 Model Evaluation 📈 Time Series Forecasting

Machine Learning

by Dr Ruchi Doshi • 2021

From training models with labeled data to finding hidden patterns: the algorithms behind modern AI.

5.00

🧠 Machine Learning 📊 Supervised Learning 🧬 Deep Learning 🕹️ Reinforcement Learning 🛠️ Feature Engineering

Machine Learning

From training models with labeled data to finding hidden patterns: the algorithms behind modern AI.

by Dr Ruchi Doshi 2021

5.00

1 ratings

🧠 Machine Learning 📊 Supervised Learning 🧬 Deep Learning 🕹️ Reinforcement Learning 🛠️ Feature Engineering

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