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Data Science Bookcamp, Video Edition
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In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.
Valuable and accessible… a solid foundation for anyone aspiring to be a data scientist.
Amaresh Rajasekharan, IBM Corporation
Learn data science with Python by building five real-world projects! Experiment with card game predictions, tracking disease outbreaks, and more, as you build a flexible and intuitive understanding of data science.In Data Science Bookcamp you will find:
Techniques for computing and plotting probabilities
Statistical analysis using Scipy
How to organize datasets with clustering algorithms
How to visualize complex multi-variable datasets
How to train a decision tree machine learning algorithm
In Data Science Bookcamp you’ll test and build your knowledge of Python with the kind of open-ended problems that professional data scientists work on every day. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career.
about the technology
A data science project has a lot of moving parts, and it takes practice and skill to get all the code, algorithms, datasets, formats, and visualizations working together harmoniously. This unique book guides you through five realistic projects, including tracking disease outbreaks from news headlines, analyzing social networks, and finding relevant patterns in ad click data.
about the book
Data Science Bookcamp doesn’t stop with surface-level theory and toy examples. As you work through each project, you’ll learn how to troubleshoot common problems like missing data, messy data, and algorithms that don’t quite fit the model you’re building. You’ll appreciate the detailed setup instructions and the fully explained solutions that highlight common failure points. In the end, you’ll be confident in your skills because you can see the results.
about the audience
For readers who know the basics of Python. No prior data science or machine learning skills required.
Released 11/2021
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TutsNode.com.txt
63 B
[TutsNode.com] - Data Science Bookcamp, video edition/106 - Chapter 20. Limitations of the KNN algorithm.mp4
63.2 MB
[TutsNode.com] - Data Science Bookcamp, video edition/107 - Chapter 21. Training linear classifiers with logistic regression.mp4
58.3 MB
[TutsNode.com] - Data Science Bookcamp, video edition/109 - Chapter 21. Training a linear classifier, Part 2.mp4
73.3 MB
[TutsNode.com] - Data Science Bookcamp, video edition/113 - Chapter 21. Measuring feature importance with coefficients.mp4
93.1 MB
[TutsNode.com] - Data Science Bookcamp, video edition/114 - Chapter 22. Training nonlinear classifiers with decision tree techniques.mp4
65.2 MB
[TutsNode.com] - Data Science Bookcamp, video edition/116 - Chapter 22. Deciding which feature to split on.mp4
57.2 MB
[TutsNode.com] - Data Science Bookcamp, video edition/117 - Chapter 22. Training if_else models with more than two features.mp4
57.8 MB
[TutsNode.com] - Data Science Bookcamp, video edition/119 - Chapter 22. Studying cancerous cells using feature importance.mp4
59.3 MB
[TutsNode.com] - Data Science Bookcamp, video edition/120 - Chapter 22. Improving performance using random forest classification.mp4
57.4 MB
[TutsNode.com] - Data Science Bookcamp, video edition/126 - Chapter 23. Adding profile features to the model.mp4
62 MB
[TutsNode.com] - Data Science Bookcamp, video edition/128 - Chapter 23. Interpreting the trained model.mp4
64.2 MB
[TutsNode.com] - Data Science Bookcamp, video edition/14 - Chapter 5. Basic probability and statistical analysis using SciPy.mp4
76.2 MB
[TutsNode.com] - Data Science Bookcamp, video edition/16 - Chapter 5. Variance as a measure of dispersion.mp4
73.9 MB
[TutsNode.com] - Data Science Bookcamp, video edition/17 - Chapter 6. Making predictions using the central limit theorem and SciPy.mp4
58.6 MB
[TutsNode.com] - Data Science Bookcamp, video edition/2 - Chapter 1. Computing probabilities using Python This section covers.mp4
56.8 MB
[TutsNode.com] - Data Science Bookcamp, video edition/20 - Chapter 6. Computing the area beneath a normal curve.mp4
64.6 MB
[TutsNode.com] - Data Science Bookcamp, video edition/22 - Chapter 7. Assessing the divergence between sample mean and population mean.mp4
68.3 MB
[TutsNode.com] - Data Science Bookcamp, video edition/23 - Chapter 7. Data dredging - Coming to false conclusions through oversampling.mp4
79.9 MB
[TutsNode.com] - Data Science Bookcamp, video edition/3 - Chapter 1. Problem 2 - Analyzing multiple die rolls.mp4
60.9 MB
[TutsNode.com] - Data Science Bookcamp, video edition/33 - Chapter 10. Clustering data into groups.mp4
61.4 MB
[TutsNode.com] - Data Science Bookcamp, video edition/34 - Chapter 10. K-means - A clustering algorithm for grouping data into K central groups.mp4
61.2 MB
[TutsNode.com] - Data Science Bookcamp, video edition/36 - Chapter 10. Clustering based on non-Euclidean distance.mp4
68.8 MB
[TutsNode.com] - Data Science Bookcamp, video edition/40 - Chapter 11. Visualizing maps.mp4
58.3 MB
[TutsNode.com] - Data Science Bookcamp, video edition/41 - Chapter 11. Location tracking using GeoNamesCache.mp4
62.3 MB
[TutsNode.com] - Data Science Bookcamp, video edition/42 - Chapter 11. Limitations of the GeoNamesCache library.mp4
69.2 MB
[TutsNode.com] - Data Science Bookcamp, video edition/44 - Chapter 12. Visualizing and clustering the extracted location data.mp4
70.7 MB
[TutsNode.com] - Data Science Bookcamp, video edition/5 - Chapter 2. Comparing multiple coin-flip probability distributions.mp4
65.6 MB
[TutsNode.com] - Data Science Bookcamp, video edition/55 - Chapter 14. Dimension reduction of matrix data.mp4
61.7 MB
[TutsNode.com] - Data Science Bookcamp, video edition/58 - Chapter 14. Dimension reduction using PCA and scikit-learn.mp4
64.7 MB
[TutsNode.com] - Data Science Bookcamp, video edition/64 - Chapter 14. Efficient dimension reduction using SVD and scikit-learn.mp4
68.6 MB
[TutsNode.com] - Data Science Bookcamp, video edition/66 - Chapter 15. Vectorizing documents using scikit-learn.mp4
87.1 MB
[TutsNode.com] - Data Science Bookcamp, video edition/69 - Chapter 15. Computing similarities across large document datasets.mp4
60.2 MB
[TutsNode.com] - Data Science Bookcamp, video edition/70 - Chapter 15. Clustering texts by topic, Part 1.mp4
73.3 MB
[TutsNode.com] - Data Science Bookcamp, video edition/71 - Chapter 15. Clustering texts by topic, Part 2.mp4
87.1 MB
[TutsNode.com] - Data Science Bookcamp, video edition/72 - Chapter 15. Visualizing text clusters.mp4
58.9 MB
[TutsNode.com] - Data Science Bookcamp, video edition/74 - Chapter 15. Using subplots to display multiple word clouds, Part 2.mp4
58.8 MB
[TutsNode.com] - Data Science Bookcamp, video edition/76 - Chapter 16. The structure of HTML documents.mp4
62.9 MB
[TutsNode.com] - Data Science Bookcamp, video edition/8 - Chapter 3. Deriving probabilities from histograms.mp4
57.6 MB
[TutsNode.com] - Data Science Bookcamp, video edition/80 - Chapter 17. Exploring the HTML for skill descriptions.mp4
59.7 MB
[TutsNode.com] - Data Science Bookcamp, video edition/81 - Chapter 17. Filtering jobs by relevance.mp4
73.2 MB
[TutsNode.com] - Data Science Bookcamp, video edition/82 - Chapter 17. Clustering skills in relevant job postings.mp4
66.5 MB
[TutsNode.com] - Data Science Bookcamp, video edition/84 - Chapter 17. Exploring clusters at alternative values of K.mp4
69.4 MB
[TutsNode.com] - Data Science Bookcamp, video edition/86 - Case study 5 - Predicting future friendships from social network data.mp4
80.4 MB
[TutsNode.com] - Data Science Bookcamp, video edition/87 - Chapter 18. An introduction to graph theory and network analysis.mp4
74.9 MB
[TutsNode.com] - Data Science Bookcamp, video edition/90 - Chapter 18. Utilizing undirected graphs to optimize the travel time between towns.mp4
57.4 MB
[TutsNode.com] - Data Science Bookcamp, video edition/93 - Chapter 19. Dynamic graph theory techniques for node ranking and social network analysis.mp4
75.1 MB
[TutsNode.com] - Data Science Bookcamp, video edition/97 - Chapter 19. Community detection using Markov clustering, Part 1.mp4
60.1 MB
[TutsNode.com] - Data Science Bookcamp, video edition/98 - Chapter 19. Community detection using Markov clustering, Part 2.mp4
75.2 MB
[TutsNode.com] - Data Science Bookcamp, video edition/99 - Chapter 19. Uncovering friend groups in social networks.mp4
