Price: $64.81
Boost your NFL sports betting game with our comprehensive range of data science tools and approaches. This book is designed for all skill levels, from beginners to advanced analysts, offering a deep dive into data manipulation, statistical analysis, and the application of machine learning within a sports context. Enhance your understanding of how to preprocess and clean data for optimal clarity, engineer meaningful features for improved prediction accuracy, and utilize a variety of machine learning models, from straightforward linear regression to intricate neural networks. Unearth exceptional insights into real-time betting strategies, optimize your betting portfolio, and reveal hidden patterns to dramatically increase your betting success. Ideal for data scientists, sports enthusiasts, and analysts striving to align data analytics with sports betting.
What You Will Learn:
– Obtain NFL data using Python libraries such as Pandas and PySports.
– Master web scraping techniques for comprehensive NFL data collection.
– Hone your data cleaning skills to tackle missing values and standardize data.
– Reveal insights via exploratory data analysis and visualization.
– Innovate with feature engineering to amplify your football analysis.
– Execute regression techniques, including linear, logistic, ridge, and lasso.
– Use k-Nearest Neighbors (k-NN) and decision tree models for classification tasks.
– Improve prediction accuracy using Random Forests and Gradient Boosting Machines.
– Delve into neural networks and deep learning for complex prediction assignments.
– Evaluate model performance using metrics such as accuracy, precision, and recall.
– Fine-tune hyperparameters for optimal machine learning models.
– Apply time series analysis to forecast player performance and seasonal trends.
– Develop predictive models based on player attributes and props.
– Employ collaborative filtering for personalized betting recommendations.
– Utilize Natural Language Processing (NLP) for unique insights into betting decisions.
– Extract meaningful sentiment analysis from football commentary.
– Leverage real-time insights from social media platforms like Twitter.
– Use streamed game data for effective live betting strategies.
– Optimize betting portfolios with Mean-Variance Analysis.
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