Udemy - Machine Learning Practical 6 Real-World Applications

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名前:	Udemy - Machine Learning Practical 6 Real-World Applications
_DESCRIPTION_: This course will demystify how  real  Data Science project looks like. Time to move away from these polished examples which are only introducing you to the matter, but not giving any  real experience . If you are still dreaming where to learn Machine Learning through practice, where to take real-life  projects for your CV , how to not look like a  noob in the recruiter's eyes,  then you came to the right place!
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カテゴリ:	Tutorials
言語:	English
合計サイズ:	4.05 GB
情報のハッシュ:	2353C63EF2D30F173528B6C4BBA5EABEBA4B9311
を追加することによって:	fclab16
追加日:	2018-12-26 06:44:16
トレントステータス:	Torrent Verified

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ファイルリスト:

ファイル	サイズ
1. Introduction/1. Welcome to the course!.mp4	36.75 MB
1. Introduction/1. Welcome to the course!.vtt	2.33 kB
1. Introduction/2. Where to get the materials.html	128.00 B
2. Breast Cancer Classification/1. Introduction.mp4	14.97 MB
2. Breast Cancer Classification/1. Introduction.vtt	1.00 kB
2. Breast Cancer Classification/2. Business Challenge.mp4	60.98 MB
2. Breast Cancer Classification/2. Business Challenge.vtt	3.73 kB
2. Breast Cancer Classification/3. Updates on Udemy Reviews.mp4	56.12 MB
2. Breast Cancer Classification/3. Updates on Udemy Reviews.vtt	3.53 kB
2. Breast Cancer Classification/4. Challenge in Machine Learning Vocabulary.mp4	79.06 MB
2. Breast Cancer Classification/4. Challenge in Machine Learning Vocabulary.vtt	9.96 kB
2. Breast Cancer Classification/5. Data Visualisation.mp4	140.50 MB
2. Breast Cancer Classification/5. Data Visualisation.vtt	22.98 kB
2. Breast Cancer Classification/6. Model Training.mp4	70.94 MB
2. Breast Cancer Classification/6. Model Training.vtt	11.03 kB
2. Breast Cancer Classification/7. Model Evaluation.mp4	91.38 MB
2. Breast Cancer Classification/7. Model Evaluation.vtt	14.36 kB
2. Breast Cancer Classification/8. Improving the Model.mp4	189.77 MB
2. Breast Cancer Classification/8. Improving the Model.vtt	29.08 kB
2. Breast Cancer Classification/9. Conclusion.mp4	24.04 MB
2. Breast Cancer Classification/9. Conclusion.vtt	3.57 kB
3. Fashion Class Classification/1. Business Challenge.mp4	92.22 MB
3. Fashion Class Classification/1. Business Challenge.vtt	5.81 kB
3. Fashion Class Classification/10. Conclusion.mp4	55.27 MB
3. Fashion Class Classification/10. Conclusion.vtt	4.61 kB
3. Fashion Class Classification/2. Challenge in Machine Learning Vocabulary.mp4	69.24 MB
3. Fashion Class Classification/2. Challenge in Machine Learning Vocabulary.vtt	8.45 kB
3. Fashion Class Classification/3. Data Visualisation.mp4	130.14 MB
3. Fashion Class Classification/3. Data Visualisation.vtt	19.92 kB
3. Fashion Class Classification/4. Model Training Part I.mp4	103.76 MB
3. Fashion Class Classification/4. Model Training Part I.vtt	11.81 kB
3. Fashion Class Classification/5. Model Training Part II.mp4	78.30 MB
3. Fashion Class Classification/5. Model Training Part II.vtt	10.09 kB
3. Fashion Class Classification/6. Model Training Part III.mp4	125.99 MB
3. Fashion Class Classification/6. Model Training Part III.vtt	14.38 kB
3. Fashion Class Classification/7. Model Training Part IV.mp4	128.19 MB
3. Fashion Class Classification/7. Model Training Part IV.vtt	19.41 kB
3. Fashion Class Classification/8. Model Evaluation.mp4	73.61 MB
3. Fashion Class Classification/8. Model Evaluation.vtt	12.24 kB
3. Fashion Class Classification/9. Improving the Model.mp4	31.62 MB
3. Fashion Class Classification/9. Improving the Model.vtt	3.49 kB
4. Directing Customers to Subscription Through App Behavior Analysis/1. Fintech Case Studies Introduction.mp4	14.63 MB
4. Directing Customers to Subscription Through App Behavior Analysis/1. Fintech Case Studies Introduction.vtt	2.02 kB
4. Directing Customers to Subscription Through App Behavior Analysis/10. Model Building.mp4	72.33 MB
4. Directing Customers to Subscription Through App Behavior Analysis/10. Model Building.vtt	12.97 kB
4. Directing Customers to Subscription Through App Behavior Analysis/11. Model Conclusion.mp4	29.99 MB
4. Directing Customers to Subscription Through App Behavior Analysis/11. Model Conclusion.vtt	4.06 kB
4. Directing Customers to Subscription Through App Behavior Analysis/12. Final Remarks.mp4	19.05 MB
4. Directing Customers to Subscription Through App Behavior Analysis/12. Final Remarks.vtt	2.43 kB
4. Directing Customers to Subscription Through App Behavior Analysis/2. Introduction.mp4	18.28 MB
4. Directing Customers to Subscription Through App Behavior Analysis/2. Introduction.vtt	2.32 kB
4. Directing Customers to Subscription Through App Behavior Analysis/3. Data.mp4	53.63 MB
4. Directing Customers to Subscription Through App Behavior Analysis/3. Data.vtt	4.06 kB
4. Directing Customers to Subscription Through App Behavior Analysis/4. Features Histograms.mp4	60.84 MB
4. Directing Customers to Subscription Through App Behavior Analysis/4. Features Histograms.vtt	9.74 kB
4. Directing Customers to Subscription Through App Behavior Analysis/5. Correlation Plot.mp4	22.04 MB
4. Directing Customers to Subscription Through App Behavior Analysis/5. Correlation Plot.vtt	5.51 kB
4. Directing Customers to Subscription Through App Behavior Analysis/6. Correlation Matrix.mp4	32.28 MB
4. Directing Customers to Subscription Through App Behavior Analysis/6. Correlation Matrix.vtt	8.30 kB
4. Directing Customers to Subscription Through App Behavior Analysis/7. Feature Engineering - Response.mp4	54.89 MB
4. Directing Customers to Subscription Through App Behavior Analysis/7. Feature Engineering - Response.vtt	9.74 kB
4. Directing Customers to Subscription Through App Behavior Analysis/8. Feature Engineering - Screens.mp4	71.04 MB
4. Directing Customers to Subscription Through App Behavior Analysis/8. Feature Engineering - Screens.vtt	10.33 kB
4. Directing Customers to Subscription Through App Behavior Analysis/9. Data Pre-Processing.mp4	60.65 MB
4. Directing Customers to Subscription Through App Behavior Analysis/9. Data Pre-Processing.vtt	9.80 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/1. Introduction.mp4	19.60 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/1. Introduction.vtt	2.51 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/10. Model Building.mp4	51.26 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/10. Model Building.vtt	9.48 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/11. K-Fold Cross Validation.mp4	31.69 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/11. K-Fold Cross Validation.vtt	5.24 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/12. Feature Selection.mp4	64.30 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/12. Feature Selection.vtt	8.69 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/13. Model Conclusion.mp4	38.42 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/13. Model Conclusion.vtt	5.25 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/14. Final Remarks.mp4	24.29 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/14. Final Remarks.vtt	3.10 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/2. Data.mp4	77.48 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/2. Data.vtt	9.79 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/3. Data Cleaning.mp4	32.56 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/3. Data Cleaning.vtt	5.69 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/4. Features Histograms.mp4	50.24 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/4. Features Histograms.vtt	10.75 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/5. Pie Chart Distributions.mp4	70.58 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/5. Pie Chart Distributions.vtt	10.65 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/6. Correlation Plot.mp4	48.74 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/6. Correlation Plot.vtt	9.36 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/7. Correlation Matrix.mp4	56.10 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/7. Correlation Matrix.vtt	11.73 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/8. One-Hot Encoding.mp4	42.89 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/8. One-Hot Encoding.vtt	6.52 kB
5. Minimizing Churn Rate Through Analysis of Financial Habits/9. Feature Scaling & Balancing.mp4	79.72 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/9. Feature Scaling & Balancing.vtt	10.94 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/1. Introduction.mp4	75.13 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/1. Introduction.vtt	9.60 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/10. Model Building Part 2.mp4	93.45 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/10. Model Building Part 2.vtt	11.60 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/11. Grid Search Part 1.mp4	74.43 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/11. Grid Search Part 1.vtt	13.99 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/12. Grid Search Part 2.mp4	98.07 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/12. Grid Search Part 2.vtt	11.23 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/13. Model Conclusion.mp4	18.31 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/13. Model Conclusion.vtt	3.44 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/14. Final Remarks.mp4	30.57 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/14. Final Remarks.vtt	4.11 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/2. Data.mp4	101.91 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/2. Data.vtt	9.82 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/3. Data Housekeeping.mp4	44.08 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/3. Data Housekeeping.vtt	6.85 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/4. Histograms.mp4	50.81 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/4. Histograms.vtt	12.62 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/5. Correlation Plot.mp4	24.28 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/5. Correlation Plot.vtt	6.59 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/6. Correlation Matrix.mp4	33.41 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/6. Correlation Matrix.vtt	9.12 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/7. Feature Engineering.mp4	23.47 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/7. Feature Engineering.vtt	6.58 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/8. Data Preprocessing.mp4	60.17 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/8. Data Preprocessing.vtt	10.96 kB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/9. Model Building Part 1.mp4	58.77 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/9. Model Building Part 1.vtt	8.03 kB
7. Credit Card Fraud Detection/1. Case Study.mp4	30.08 MB
7. Credit Card Fraud Detection/1. Case Study.vtt	3.53 kB
7. Credit Card Fraud Detection/10. Metrics.mp4	15.11 MB
7. Credit Card Fraud Detection/10. Metrics.vtt	3.95 kB
7. Credit Card Fraud Detection/11. Confusion Matrix.mp4	40.06 MB
7. Credit Card Fraud Detection/11. Confusion Matrix.vtt	4.02 kB
7. Credit Card Fraud Detection/12. Machine Learning Classifiers.mp4	34.17 MB
7. Credit Card Fraud Detection/12. Machine Learning Classifiers.vtt	7.73 kB
7. Credit Card Fraud Detection/13. Random Forest.mp4	31.02 MB
7. Credit Card Fraud Detection/13. Random Forest.vtt	3.10 kB
7. Credit Card Fraud Detection/14. Decision Trees.mp4	18.77 MB
7. Credit Card Fraud Detection/14. Decision Trees.vtt	2.58 kB
7. Credit Card Fraud Detection/15. Sampling.mp4	7.74 MB
7. Credit Card Fraud Detection/15. Sampling.vtt	2.08 kB
7. Credit Card Fraud Detection/16. Undersampling.mp4	36.92 MB
7. Credit Card Fraud Detection/16. Undersampling.vtt	2.58 kB
7. Credit Card Fraud Detection/17. Smote.mp4	35.71 MB
7. Credit Card Fraud Detection/17. Smote.vtt	2.45 kB
7. Credit Card Fraud Detection/18. Final remarks.mp4	19.06 MB
7. Credit Card Fraud Detection/18. Final remarks.vtt	3.05 kB
7. Credit Card Fraud Detection/2. Machine Learning Vocabulary.mp4	22.95 MB
7. Credit Card Fraud Detection/2. Machine Learning Vocabulary.vtt	3.31 kB
7. Credit Card Fraud Detection/3. Set Up.mp4	23.92 MB
7. Credit Card Fraud Detection/3. Set Up.vtt	3.25 kB
7. Credit Card Fraud Detection/4. Data Visualization.mp4	20.40 MB
7. Credit Card Fraud Detection/4. Data Visualization.vtt	2.42 kB
7. Credit Card Fraud Detection/5. Data Preprocessing.mp4	39.03 MB
7. Credit Card Fraud Detection/5. Data Preprocessing.vtt	2.92 kB
7. Credit Card Fraud Detection/6. Deep Learning Part 1.mp4	23.22 MB
7. Credit Card Fraud Detection/6. Deep Learning Part 1.vtt	3.44 kB
7. Credit Card Fraud Detection/7. Deep Learning Part 2.mp4	48.19 MB
7. Credit Card Fraud Detection/7. Deep Learning Part 2.vtt	7.43 kB
7. Credit Card Fraud Detection/8. Splitting the Data.mp4	38.21 MB
7. Credit Card Fraud Detection/8. Splitting the Data.vtt	4.08 kB
7. Credit Card Fraud Detection/9. Training.mp4	21.19 MB
7. Credit Card Fraud Detection/9. Training.vtt	1.86 kB
[FreeCourseLab.com].url	126.00 B

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Udemy - Machine Learning Practical 6 Real-World Applications