✅ Model Evaluation

Technical explorations of how to measure, validate, and improve predictive models, essential reading for data scientists seeking rigor beyond accuracy scores.

Data Science for Business

by Foster Provost • 2013

Why overfitting sinks most data projects, and the conceptual tools that stop it.

4.13

3k+

📊 Business Analytics ⛏️ Data Mining 🔧 Feature Engineering 🧹 Data Preparation 🔮 Predictive Modeling

Data Science for Business

Why overfitting sinks most data projects, and the conceptual tools that stop it.

by Foster Provost 2013

4.13

3k+ ratings

📊 Business Analytics ⛏️ Data Mining 🔧 Feature Engineering 🧹 Data Preparation 🔮 Predictive Modeling

The Elements of Statistical Learning

by Trevor Hastie • 2001

The unified mathematical engine under linear regression, trees, and neural nets.

4.43

2k+

📊 Statistical Learning 🎯 Supervised Learning 🤝 Ensemble Learning ⚖️ Regularization Methods 💻 Computational Statistics

The Elements of Statistical Learning

The unified mathematical engine under linear regression, trees, and neural nets.

by Trevor Hastie 2001

4.43

2k+ ratings

📊 Statistical Learning 🎯 Supervised Learning 🤝 Ensemble Learning ⚖️ Regularization Methods 💻 Computational Statistics

The AI Playbook

by Eric Siegel • 2024

How to get machine learning out of the lab: sell the operational improvement, not the algorithm.

3.98

127

🏢 Enterprise Technology 🤖 Applied Ai 🔄 Change Management 📊 Data Quality ⚖️ Algorithmic Bias

The AI Playbook

How to get machine learning out of the lab: sell the operational improvement, not the algorithm.

by Eric Siegel 2024

3.98

127 ratings

🏢 Enterprise Technology 🤖 Applied Ai 🔄 Change Management 📊 Data Quality ⚖️ Algorithmic Bias

Machine Learning For Absolute Beginners

by Oliver Theobald • 2017

How machine learning algorithms think, from regression to neural networks, no math required.

4.12

474

🧠 Machine Learning 🧹 Data Preparation 🏷️ Supervised Learning 🌳 Decision Trees 🧬 Neural Networks

Machine Learning For Absolute Beginners

How machine learning algorithms think, from regression to neural networks, no math required.

by Oliver Theobald 2017

4.12

474 ratings

🧠 Machine Learning 🧹 Data Preparation 🏷️ Supervised Learning 🌳 Decision Trees 🧬 Neural Networks

Fundamentals of Machine Learning for Predictive Data Analytics

by John D. Kelleher • 2015

Pick the right machine learning approach for any business problem, guided by real case studies.

4.35

105

📊 Predictive Analytics 💼 Business Analytics 🤖 Supervised Learning 🧹 Data Preparation 🔧 Feature Engineering

Fundamentals of Machine Learning for Predictive Data Analytics

Pick the right machine learning approach for any business problem, guided by real case studies.

by John D. Kelleher 2015

4.35

105 ratings

📊 Predictive Analytics 💼 Business Analytics 🤖 Supervised Learning 🧹 Data Preparation 🔧 Feature 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

📊 Data Science 🔮 Predictive Modeling 🐥 Beginner Guides 🧹 Data Preparation 🧩 Clustering

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

📊 Data Science 🔮 Predictive Modeling 🐥 Beginner Guides 🧹 Data Preparation 🧩 Clustering

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

📊 Data Science 📈 Statistical Thinking 🧹 Data Wrangling 🔧 Feature Engineering 🔗 Causal Inference

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

📊 Data Science 📈 Statistical Thinking 🧹 Data Wrangling 🔧 Feature Engineering 🔗 Causal Inference

Machine Learning Simplified

by Andrew Wolf • 2022

Supervised learning, gently: pipeline, optimization, and the real reasons your model overfits.

4.87

193

🎯 Supervised Learning 📚 Machine Learning Fundamentals 📊 Statistical Learning 🧹 Data Preprocessing 🔍 Feature Selection

Machine Learning Simplified

Supervised learning, gently: pipeline, optimization, and the real reasons your model overfits.

by Andrew Wolf 2022

4.87

193 ratings

🎯 Supervised Learning 📚 Machine Learning Fundamentals 📊 Statistical Learning 🧹 Data Preprocessing 🔍 Feature Selection

Machine Learning For Absolute Beginners

by Oliver Theobald • 2018

A plain English path from zero to a working model: the algorithms, data prep, and code.

3.96

786

🤖 Machine Learning Basics 🐍 Python For Data Science 🧹 Data Preparation 🎯 Supervised Learning 🧠 Neural Networks

Machine Learning For Absolute Beginners

A plain English path from zero to a working model: the algorithms, data prep, and code.

by Oliver Theobald 2018

3.96

786 ratings

🤖 Machine Learning Basics 🐍 Python For Data Science 🧹 Data Preparation 🎯 Supervised Learning 🧠 Neural Networks

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

📊 Data Science 🤖 Machine Learning 🔍 Exploratory Data Analysis ⚙️ Feature Engineering 📈 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

📊 Data Science 🤖 Machine Learning 🔍 Exploratory Data Analysis ⚙️ Feature Engineering 📈 Time Series Forecasting

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