Authoring Machine Learning Models from Scratch

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Authoring Machine Learning Models from Scratch

Torrent Contents Size: 611.7 MB

Authoring Machine Learning Models from Scratch
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1. Algorithm Test Harness - Train-Test-Split-en_US.srt
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5.6 KB
1. Algorithm Test Harness - Train-Test-Split.mp4
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24 MB
1. Classification and Regression Trees-en_US.srt
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3.4 KB
1. Classification and Regression Trees.mp4
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8.5 MB
1. Introduction-en_US.srt
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2.4 KB
1. Introduction.mp4
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23.1 MB
1. Loading Data from a CSV File-en_US.srt
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6.1 KB
1. Loading Data from a CSV File.mp4
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28.1 MB
10. Classification Accuracy-en_US.srt
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2 KB
10. Classification Accuracy.mp4
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7.7 MB
10. Demo Logistic Regression Make Predictions-en_US.srt
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2.1 KB
10. Demo Logistic Regression Make Predictions.mp4
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8.6 MB
10. Demo Naïve Bayes Separate by Class-en_US.srt
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3 KB
10. Demo Naïve Bayes Separate by Class.mp4
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9.3 MB
11. Confusion Matrix-en_US.srt
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4.5 KB
11. Confusion Matrix.mp4
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12.5 MB
11. Demo Logistic Regression Estimating Coefficients-en_US.srt
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3.4 KB
11. Demo Logistic Regression Estimating Coefficients.mp4
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15.2 MB
11. Demo Naïve Bayes Summarize the Dataset-en_US.srt
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3.9 KB
11. Demo Naïve Bayes Summarize the Dataset.mp4
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15.2 MB
12. Demo Logistic Regression Diabetes Dataset-en_US.srt
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2.6 KB
12. Demo Logistic Regression Diabetes Dataset.mp4
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11.2 MB
12. Demo Naïve Bayes Summarize Data by Class-en_US.srt
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2 KB
12. Demo Naïve Bayes Summarize Data by Class.mp4
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7.7 MB
12. Regression Metrics-en_US.srt
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3.6 KB
12. Regression Metrics.mp4
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18 MB
13. Baseline Models-en_US.srt
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1.8 KB
13. Baseline Models.mp4
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18.3 MB
13. The Perceptron-en_US.srt
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2.2 KB
13. The Perceptron.mp4
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8.6 MB
14. Demo The Perceptron Make Predictions-en_US.srt
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3.1 KB
14. Demo The Perceptron Make Predictions.mp4
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16.4 MB
14. Random Prediction Algorithm-en_US.srt
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2.4 KB
14. Random Prediction Algorithm.mp4
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10.6 MB
15. Demo The Perceptron Training Weights-en_US.srt
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2.9 KB
15. Demo The Perceptron Training Weights.mp4
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11.2 MB
15. Zero Rule Algorithm-en_US.srt
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4.4 KB
15. Zero Rule Algorithm.mp4
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18.9 MB
16. Demo The Perceptron Sonar Dataset-en_US.srt
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2.5 KB
16. Demo The Perceptron Sonar Dataset.mp4
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10.5 MB
2. Algorithm Test Harness - K-Fold-en_US.srt
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3.3 KB
2. Algorithm Test Harness - K-Fold.mp4
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14.8 MB
2. Demo CART Creating the Gini Index-en_US.srt
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3.6 KB
2. Demo CART Creating the Gini Index.mp4
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13.9 MB
2. Scale Your Data Normalization-en_US.srt
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3.7 KB
2. Scale Your Data Normalization.mp4
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17.8 MB
2. What is this course... exactly-en_US.srt
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1.8 KB
2. What is this course... exactly.mp4
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1.8 MB
3. Course Outcomes-en_US.srt
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2.2 KB
3. Course Outcomes.mp4
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10.2 MB
3. Demo CART Creating the Splits-en_US.srt
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1.8 KB
3. Demo CART Creating the Splits.mp4
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5.4 MB
3. Scale Your Data Standardization-en_US.srt
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3.7 KB
3. Scale Your Data Standardization.mp4
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15.4 MB
3. Simple Linear Regression-en_US.srt
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3.2 KB
3. Simple Linear Regression.mp4
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11.2 MB
4. Algorithm Evaluation Methods-en_US.srt
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1.5 KB
4. Algorithm Evaluation Methods.mp4
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12.4 MB
4. Course Structure-en_US.srt
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1.8 KB
4. Course Structure.mp4
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1.8 MB
4. Demo CART Evaluating the Splits-en_US.srt
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2.8 KB
4. Demo CART Evaluating the Splits.mp4
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12.4 MB
4. Simple Linear Regression Case Study-en_US.srt
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4 KB
4. Simple Linear Regression Case Study.mp4
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12.9 MB
5. CART Building the Tree-en_US.srt
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3.1 KB
5. CART Building the Tree.mp4
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5.9 MB
5. Simple Linear Regression Case Study Part 2-en_US.srt
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3.2 KB
5. Simple Linear Regression Case Study Part 2.mp4
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11.3 MB
5. Train-Test Split-en_US.srt
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3.8 KB
5. Train-Test Split.mp4
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12.7 MB
5. What is an Algorithm in Programming-en_US.srt
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4.1 KB
5. What is an Algorithm in Programming.mp4
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25.4 MB
6. Demo CART Recursive Splitting-en_US.srt
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2.7 KB
6. Demo CART Recursive Splitting.mp4
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9.6 MB
6. K-Fold Cross-Validation Defined-en_US.srt
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2.7 KB
6. K-Fold Cross-Validation Defined.mp4
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2.7 MB
6. Multivariate Linear Regression Case Study-en_US.srt
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6. Multivariate Linear Regression Case Study.mp4
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12.4 MB
7. Demo CART Assembling the Tree-en_US.srt
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2.3 KB
7. Demo CART Assembling the Tree.mp4
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8.7 MB
7. Demo Multivariate Linear Regression Case Study-en_US.srt
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5.4 KB
7. Demo Multivariate Linear Regression Case Study.mp4
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20 MB
7. K-Fold Cross-Validation-en_US.srt
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2.6 KB
7. K-Fold Cross-Validation.mp4
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7 MB
8. Choosing a Resampling Method-en_US.srt
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1.9 KB
8. Choosing a Resampling Method.mp4
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17.4 MB
8. Demo CART CART to Banknote Dataset-en_US.srt
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2.4 KB
8. Demo CART CART to Banknote Dataset.mp4
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8.7 MB
8. Demo Linear Regression on Wine Quality Dataset-en_US.srt
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2.9 KB
8. Demo Linear Regression on Wine Quality Dataset.mp4
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12.6 MB
9. Evaluation Metrics-en_US.srt
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2 KB
9. Evaluation Metrics.mp4
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18.5 MB
9. Logistic Regression Defined-en_US.srt
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4 KB
9. Logistic Regression Defined.mp4
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19.4 MB
9. Naïve Bayes-en_US.srt
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1.8 KB
9. Naïve Bayes.mp4
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5.9 MB
Bonus Resources.txt
TXT
307.2 B
Building Machine Learning Algorithms in Python - Algorithm Test Harness.ipynb
IPYNB
6.3 KB
Building Machine Learning Algorithms in Python - Baseline Algorithms.ipynb
IPYNB
2.9 KB
Building Machine Learning Algorithms in Python - Evaluation Metrics.ipynb
IPYNB
4.7 KB
Building Machine Learning Algorithms in Python - Loading Data.ipynb
IPYNB
5 KB
Building Machine Learning Algorithms in Python - Scaling Data with Normalization.ipynb
IPYNB
4.4 KB
Building Machine Learning Algorithms in Python - Scaling Data with Standardization.ipynb
IPYNB
4.7 KB
Building Machine Learning Algorithms in Python - Simple Linear Regression.ipynb
IPYNB
8.9 KB
Get Bonus Downloads Here.url
URL
204.8 B
contrived-dataset.xlsx
XLSX
36.7 KB
insurance.csv
CSV
512 B

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