BITCQ

UD245

Size: 4.1 GB
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Name Size
UD245/01 Introduction/001 Welcome to the course.mp4 36.7 MB
UD245/01 Introduction/002 BONUS Learning Paths.html 3 KB
UD245/01 Introduction/003 Where to get the materials.html 995 B
UD245/02 Breast Cancer Classification/004 Introduction.mp4 15 MB
UD245/02 Breast Cancer Classification/005 Business Challenge.mp4 61 MB
UD245/02 Breast Cancer Classification/006 Updates on Udemy Reviews.mp4 20.4 MB
UD245/02 Breast Cancer Classification/007 Challenge in Machine Learning Vocabulary.mp4 79.1 MB
UD245/02 Breast Cancer Classification/008 Data Visualisation.mp4 140.5 MB
UD245/02 Breast Cancer Classification/009 Model Training.mp4 70.9 MB
UD245/02 Breast Cancer Classification/010 Model Evaluation.mp4 91.4 MB
UD245/02 Breast Cancer Classification/011 Improving the Model.mp4 189.8 MB
UD245/02 Breast Cancer Classification/012 Conclusion.mp4 24 MB
UD245/03 Fashion Class Classification/013 Business Challenge.mp4 92.2 MB
UD245/03 Fashion Class Classification/014 Challenge in Machine Learning Vocabulary.mp4 69.2 MB
UD245/03 Fashion Class Classification/015 Data Visualisation.mp4 130.1 MB
UD245/03 Fashion Class Classification/016 Model Training Part I.mp4 103.8 MB
UD245/03 Fashion Class Classification/017 Model Training Part II.mp4 78.3 MB
UD245/03 Fashion Class Classification/018 Model Training Part III.mp4 126 MB
UD245/03 Fashion Class Classification/019 Model Training Part IV.mp4 128.2 MB
UD245/03 Fashion Class Classification/020 Model Evaluation.mp4 73.6 MB
UD245/03 Fashion Class Classification/021 Improving the Model.mp4 31.6 MB
UD245/03 Fashion Class Classification/022 Conclusion.mp4 55.3 MB
UD245/04 Directing Customers to Subscription Through App Behavior Analysis/023 Fintech Case Studies Introduction.mp4 14.6 MB
UD245/04 Directing Customers to Subscription Through App Behavior Analysis/024 Introduction.mp4 18.3 MB
UD245/04 Directing Customers to Subscription Through App Behavior Analysis/025 Data.mp4 53.6 MB
UD245/04 Directing Customers to Subscription Through App Behavior Analysis/026 Features Histograms.mp4 60.8 MB
UD245/04 Directing Customers to Subscription Through App Behavior Analysis/027 Correlation Plot.mp4 22 MB
UD245/04 Directing Customers to Subscription Through App Behavior Analysis/028 Correlation Matrix.mp4 32.3 MB
UD245/04 Directing Customers to Subscription Through App Behavior Analysis/029 Feature Engineering - Response.mp4 54.9 MB
UD245/04 Directing Customers to Subscription Through App Behavior Analysis/030 Feature Engineering - Screens.mp4 71 MB
UD245/04 Directing Customers to Subscription Through App Behavior Analysis/031 Data Pre-Processing.mp4 60.7 MB
UD245/04 Directing Customers to Subscription Through App Behavior Analysis/032 Model Building.mp4 72.3 MB
UD245/04 Directing Customers to Subscription Through App Behavior Analysis/033 Model Conclusion.mp4 30 MB
UD245/04 Directing Customers to Subscription Through App Behavior Analysis/034 Final Remarks.mp4 19 MB
UD245/05 Minimizing Churn Rate Through Analysis of Financial Habits/035 Introduction.mp4 19.6 MB
UD245/05 Minimizing Churn Rate Through Analysis of Financial Habits/036 Data.mp4 77.5 MB
UD245/05 Minimizing Churn Rate Through Analysis of Financial Habits/037 Data Cleaning.mp4 32.6 MB
UD245/05 Minimizing Churn Rate Through Analysis of Financial Habits/038 Features Histograms.mp4 50.2 MB
UD245/05 Minimizing Churn Rate Through Analysis of Financial Habits/039 Pie Chart Distributions.mp4 70.6 MB
UD245/05 Minimizing Churn Rate Through Analysis of Financial Habits/040 Correlation Plot.mp4 48.7 MB
UD245/05 Minimizing Churn Rate Through Analysis of Financial Habits/041 Correlation Matrix.mp4 56.1 MB
UD245/05 Minimizing Churn Rate Through Analysis of Financial Habits/042 One-Hot Encoding.mp4 42.9 MB
UD245/05 Minimizing Churn Rate Through Analysis of Financial Habits/043 Feature Scaling Balancing.mp4 79.7 MB
UD245/05 Minimizing Churn Rate Through Analysis of Financial Habits/044 Model Building.mp4 51.3 MB
UD245/05 Minimizing Churn Rate Through Analysis of Financial Habits/045 K-Fold Cross Validation.mp4 31.7 MB
UD245/05 Minimizing Churn Rate Through Analysis of Financial Habits/046 Feature Selection.mp4 64.3 MB
UD245/05 Minimizing Churn Rate Through Analysis of Financial Habits/047 Model Conclusion.mp4 38.4 MB
UD245/05 Minimizing Churn Rate Through Analysis of Financial Habits/048 Final Remarks.mp4 24.3 MB
UD245/06 Predicting the Likelihood of E-Signing a Loan Based on Financial History/049 Introduction.mp4 75.1 MB
UD245/06 Predicting the Likelihood of E-Signing a Loan Based on Financial History/050 Data.mp4 101.9 MB
UD245/06 Predicting the Likelihood of E-Signing a Loan Based on Financial History/051 Data Housekeeping.mp4 44.1 MB
UD245/06 Predicting the Likelihood of E-Signing a Loan Based on Financial History/052 Histograms.mp4 50.8 MB
UD245/06 Predicting the Likelihood of E-Signing a Loan Based on Financial History/053 Correlation Plot.mp4 24.3 MB
UD245/06 Predicting the Likelihood of E-Signing a Loan Based on Financial History/054 Correlation Matrix.mp4 33.4 MB
UD245/06 Predicting the Likelihood of E-Signing a Loan Based on Financial History/055 Feature Engineering.mp4 23.5 MB
UD245/06 Predicting the Likelihood of E-Signing a Loan Based on Financial History/056 Data Preprocessing.mp4 60.2 MB
UD245/06 Predicting the Likelihood of E-Signing a Loan Based on Financial History/057 Model Building Part 1.mp4 58.8 MB
UD245/06 Predicting the Likelihood of E-Signing a Loan Based on Financial History/058 Model Building Part 2.mp4 93.5 MB
UD245/06 Predicting the Likelihood of E-Signing a Loan Based on Financial History/059 Grid Search Part 1.mp4 74.4 MB
UD245/06 Predicting the Likelihood of E-Signing a Loan Based on Financial History/060 Grid Search Part 2.mp4 98.1 MB
UD245/06 Predicting the Likelihood of E-Signing a Loan Based on Financial History/061 Model Conclusion.mp4 18.3 MB
UD245/06 Predicting the Likelihood of E-Signing a Loan Based on Financial History/062 Final Remarks.mp4 30.6 MB
UD245/07 Credit Card Fraud Detection/063 Case Study.mp4 30.1 MB
UD245/07 Credit Card Fraud Detection/064 Machine Learning Vocabulary.mp4 22.9 MB
UD245/07 Credit Card Fraud Detection/065 Set Up.mp4 23.9 MB
UD245/07 Credit Card Fraud Detection/066 Data Visualization.mp4 20.4 MB
UD245/07 Credit Card Fraud Detection/067 Data Preprocessing.mp4 39 MB
UD245/07 Credit Card Fraud Detection/068 Deep Learning Part 1.mp4 23.2 MB
UD245/07 Credit Card Fraud Detection/069 Deep Learning Part 2.mp4 48.2 MB
UD245/07 Credit Card Fraud Detection/070 Splitting the Data.mp4 38.2 MB
UD245/07 Credit Card Fraud Detection/071 Training.mp4 21.2 MB
UD245/07 Credit Card Fraud Detection/072 Metrics.mp4 15.1 MB
UD245/07 Credit Card Fraud Detection/073 Confusion Matrix.mp4 40 MB
UD245/07 Credit Card Fraud Detection/074 Machine Learning Classifiers.mp4 34.2 MB
UD245/07 Credit Card Fraud Detection/075 Random Forest.mp4 31 MB
UD245/07 Credit Card Fraud Detection/076 Decision Trees.mp4 18.8 MB
UD245/07 Credit Card Fraud Detection/077 Sampling.mp4 7.7 MB
UD245/07 Credit Card Fraud Detection/078 Undersampling.mp4 36.9 MB
UD245/07 Credit Card Fraud Detection/079 Smote.mp4 35.7 MB
UD245/07 Credit Card Fraud Detection/080 Final remarks.mp4 19.1 MB
UD245/07 Credit Card Fraud Detection/081 THANK YOU bonus video.mp4 52.3 MB
UD245/08 Bonus Lectures/082 YOUR SPECIAL BONUS.html 2 KB
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Name Size Peers
UD245 Video 4.1 GB 4

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