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[GigaCourse.Com] ZeroToMastery - Python for Business Data Analytics & Intelligence

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种子名称: [GigaCourse.Com] ZeroToMastery - Python for Business Data Analytics & Intelligence
文件类型: 视频
文件数目: 238个文件
文件大小: 4.88 GB
收录时间: 2023-10-9 02:15
已经下载: 3
资源热度: 181
最近下载: 2024-12-30 05:49

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[GigaCourse.Com] ZeroToMastery - Python for Business Data Analytics & Intelligence.torrent
  • 1 Section 1 - Introduction/Introduction/Introduction.mp425.1MB
  • 1 Section 1 - Introduction/Python for Business Analytics & Intelligence/Python for Business Analytics & Intelligence.mp4169.81MB
  • 1 Section 1 - Introduction/Setting up the Course Material/Setting up the Course Material.mp434.51MB
  • 1 Section 1 - Introduction/The Modern Day Business Analyst/The Modern Day Business Analyst.mp410.96MB
  • 10 Section 8 - Matching/CASE STUDY - Catholic Schools & Standardized Tests (Briefing)/CASE STUDY - Catholic Schools & Standardized Tests (Briefing).mp43.48MB
  • 10 Section 8 - Matching/CHALLENGE - Introduction/CHALLENGE - Introduction.mp434.83MB
  • 10 Section 8 - Matching/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4112.19MB
  • 10 Section 8 - Matching/Common Support Region/Common Support Region.mp414.25MB
  • 10 Section 8 - Matching/Matching - Game Plan/Matching - Game Plan.mp45.48MB
  • 10 Section 8 - Matching/Matching/Matching.mp48.36MB
  • 10 Section 8 - Matching/My Experience with Matching/My Experience with Matching.mp45.4MB
  • 10 Section 8 - Matching/Python - Chi-square Loop/Python - Chi-square Loop.mp423.23MB
  • 10 Section 8 - Matching/Python - Chi-square Test/Python - Chi-square Test.mp438.76MB
  • 10 Section 8 - Matching/Python - Cleaning and Preparing Dataset/Python - Cleaning and Preparing Dataset.mp428.84MB
  • 10 Section 8 - Matching/Python - Common Support Region Visualization/Python - Common Support Region Visualization.mp49.09MB
  • 10 Section 8 - Matching/Python - Comparing Means/Python - Comparing Means.mp420.01MB
  • 10 Section 8 - Matching/Python - Directory and Libraries/Python - Directory and Libraries.mp416.73MB
  • 10 Section 8 - Matching/Python - Education Variables/Python - Education Variables.mp444.17MB
  • 10 Section 8 - Matching/Python - Loading Data/Python - Loading Data.mp431.34MB
  • 10 Section 8 - Matching/Python - Logistic Regression and Debugging/Python - Logistic Regression and Debugging.mp492.74MB
  • 10 Section 8 - Matching/Python - Matching/Python - Matching.mp443.52MB
  • 10 Section 8 - Matching/Python - Other Variables/Python - Other Variables.mp423.8MB
  • 10 Section 8 - Matching/Python - Outcome Visualization/Python - Outcome Visualization.mp49.06MB
  • 10 Section 8 - Matching/Python - Preparing for Common Support Region/Python - Preparing for Common Support Region.mp434.98MB
  • 10 Section 8 - Matching/Python - Race Variable Transformation/Python - Race Variable Transformation.mp486.15MB
  • 10 Section 8 - Matching/Python - Robustness Check - Removing 1 confounder/Python - Robustness Check - Removing 1 confounder.mp429.45MB
  • 10 Section 8 - Matching/Python - Robustness Check - Repeated experiments/Python - Robustness Check - Repeated experiments.mp457.38MB
  • 10 Section 8 - Matching/Python - T-Test Loop/Python - T-Test Loop.mp423.84MB
  • 10 Section 8 - Matching/Python - T-Test/Python - T-Test.mp426.22MB
  • 10 Section 8 - Matching/Robustness Checks/Robustness Checks.mp44.64MB
  • 10 Section 8 - Matching/The Curse of Dimensionality/The Curse of Dimensionality.mp45.28MB
  • 10 Section 8 - Matching/Unconfoundedness/Unconfoundedness.mp45.21MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/CASE STUDY - Online Shopping (Briefing)/CASE STUDY - Online Shopping (Briefing).mp41.56MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/CHALLENGE - Introduction/CHALLENGE - Introduction.mp410.93MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/CHALLENGE - Solutions/CHALLENGE - Solutions.mp438.39MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Applying RFM Function/Python - Applying RFM Function.mp48.58MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Creating Sales Variable/Python - Creating Sales Variable.mp414.27MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Customer Level Aggregation/Python - Customer Level Aggregation.mp421.55MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Date Variable/Python - Date Variable.mp411.49MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Directory and Libraries/Python - Directory and Libraries.mp49.73MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Loading Data/Python - Loading Data.mp421.21MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Monetary Variable/Python - Monetary Variable.mp45.21MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Quartiles/Python - Quartiles.mp423.03MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - RFM Function/Python - RFM Function.mp411.38MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - RFM Score/Python - RFM Score.mp46.56MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Results Summary/Python - Results Summary.mp414.93MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Tidying up Dataframe/Python - Tidying up Dataframe.mp412.12MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/RFM - Game Plan/RFM - Game Plan.mp42.33MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/RFM Model/RFM Model.mp48.05MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Value Based Segmentation/Value Based Segmentation.mp44.77MB
  • 13 Section 10 - Gaussian Mixture/AIC and BIC/AIC and BIC.mp45.84MB
  • 13 Section 10 - Gaussian Mixture/CASE STUDY - Credit Cards #1 (Briefing)/CASE STUDY - Credit Cards #1 (Briefing).mp42.64MB
  • 13 Section 10 - Gaussian Mixture/CHALLENGE - Introduction/CHALLENGE - Introduction.mp436.85MB
  • 13 Section 10 - Gaussian Mixture/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4216.41MB
  • 13 Section 10 - Gaussian Mixture/Clustering/Clustering.mp44.65MB
  • 13 Section 10 - Gaussian Mixture/Gaussian Mixture - Game Plan/Gaussian Mixture - Game Plan.mp42.76MB
  • 13 Section 10 - Gaussian Mixture/Gaussian Mixture Model/Gaussian Mixture Model.mp47.99MB
  • 13 Section 10 - Gaussian Mixture/My Experience with Segmentation/My Experience with Segmentation.mp47.22MB
  • 13 Section 10 - Gaussian Mixture/Python - Cluster Prediction and Assignment/Python - Cluster Prediction and Assignment.mp412.85MB
  • 13 Section 10 - Gaussian Mixture/Python - Directory and Data/Python - Directory and Data.mp414.82MB
  • 13 Section 10 - Gaussian Mixture/Python - Gaussian Mixture Model/Python - Gaussian Mixture Model.mp49.13MB
  • 13 Section 10 - Gaussian Mixture/Python - Interpretation/Python - Interpretation.mp4103.98MB
  • 13 Section 10 - Gaussian Mixture/Python - Load Data/Python - Load Data.mp420.42MB
  • 13 Section 10 - Gaussian Mixture/Python - Optimal Number of Clusters/Python - Optimal Number of Clusters.mp429.28MB
  • 13 Section 10 - Gaussian Mixture/Python - Transform Character variables/Python - Transform Character variables.mp414.19MB
  • 15 Section 11 - Random Forest/CASE STUDY - Credit Cards #2 (Briefing)/CASE STUDY - Credit Cards #2 (Briefing).mp41.18MB
  • 15 Section 11 - Random Forest/CHALLENGE - Introduction/CHALLENGE - Introduction.mp434.09MB
  • 15 Section 11 - Random Forest/CHALLENGE - Solutions (Part 1)/CHALLENGE - Solutions (Part 1).mp454.48MB
  • 15 Section 11 - Random Forest/CHALLENGE - Solutions (Part 2)/CHALLENGE - Solutions (Part 2).mp448.99MB
  • 15 Section 11 - Random Forest/Ensemble Learning and Random Forest/Ensemble Learning and Random Forest.mp44.35MB
  • 15 Section 11 - Random Forest/How Decision Trees Work/How Decision Trees Work.mp49.07MB
  • 15 Section 11 - Random Forest/Parameter Tuning/Parameter Tuning.mp45.94MB
  • 15 Section 11 - Random Forest/Python - Classification Report and F1 score/Python - Classification Report and F1 score.mp424.94MB
  • 15 Section 11 - Random Forest/Python - Directory and Libraries/Python - Directory and Libraries.mp49.84MB
  • 15 Section 11 - Random Forest/Python - Feature Importance/Python - Feature Importance.mp419.51MB
  • 15 Section 11 - Random Forest/Python - Isolate X and Y/Python - Isolate X and Y.mp415.13MB
  • 15 Section 11 - Random Forest/Python - Loading Data/Python - Loading Data.mp418.49MB
  • 15 Section 11 - Random Forest/Python - Parameter Grid/Python - Parameter Grid.mp415.7MB
  • 15 Section 11 - Random Forest/Python - Parameter Tuning/Python - Parameter Tuning.mp443.75MB
  • 15 Section 11 - Random Forest/Python - Predictions/Python - Predictions.mp44.87MB
  • 15 Section 11 - Random Forest/Python - Random Forest Model/Python - Random Forest Model.mp411.73MB
  • 15 Section 11 - Random Forest/Python - Summary Statistics/Python - Summary Statistics.mp420.91MB
  • 15 Section 11 - Random Forest/Python - Training and Test Set/Python - Training and Test Set.mp427.44MB
  • 15 Section 11 - Random Forest/Python - Transform Object into Numerical Variables/Python - Transform Object into Numerical Variables.mp49.93MB
  • 15 Section 11 - Random Forest/Random Forest - Game Plan/Random Forest - Game Plan.mp42.95MB
  • 15 Section 11 - Random Forest/Random Forest Quirks/Random Forest Quirks.mp43.77MB
  • 16 Section 12 - Facebook Prophet/Additive vs [TutFlix.ORG]. Multiplicative Seasonality/Additive vs. Multiplicative Seasonality.mp46.07MB
  • 16 Section 12 - Facebook Prophet/CASE STUDY - Wikipedia (Briefing) [TutFlix.ORG]/CASE STUDY - Wikipedia (Briefing).mp42.42MB
  • 16 Section 12 - Facebook Prophet/CHALLENGE - Introduction [TutFlix.ORG]/CHALLENGE - Introduction.mp420MB
  • 16 Section 12 - Facebook Prophet/CHALLENGE - Solutions (Part 1) [TutFlix.ORG]/CHALLENGE - Solutions (Part 1).mp456.68MB
  • 16 Section 12 - Facebook Prophet/CHALLENGE - Solutions (Part 2) [TutFlix.ORG]/CHALLENGE - Solutions (Part 2).mp492.6MB
  • 16 Section 12 - Facebook Prophet/CHALLENGE - Solutions (Part 3) [TutFlix.ORG]/CHALLENGE - Solutions (Part 3).mp463.73MB
  • 16 Section 12 - Facebook Prophet/Cross-validation [TutFlix.ORG]/Cross-validation.mp42.72MB
  • 16 Section 12 - Facebook Prophet/Dynamic Holidays [TutFlix.ORG]/Dynamic Holidays.mp44.92MB
  • 16 Section 12 - Facebook Prophet/Facebook Prophet - Game Plan [TutFlix.ORG]/Facebook Prophet - Game Plan.mp43.24MB
  • 16 Section 12 - Facebook Prophet/Facebook Prophet Model [TutFlix.ORG]/Facebook Prophet Model.mp435.81MB
  • 16 Section 12 - Facebook Prophet/Facebook Prophet Parameters [TutFlix.ORG]/Facebook Prophet Parameters.mp45.24MB
  • 16 Section 12 - Facebook Prophet/Facebook Prophet [TutFlix.ORG]/Facebook Prophet.mp47.52MB
  • 16 Section 12 - Facebook Prophet/Forecasting at Uber [TutFlix.ORG]/Forecasting at Uber.mp49.04MB
  • 16 Section 12 - Facebook Prophet/Parameters to tune [TutFlix.ORG]/Parameters to tune.mp43.25MB
  • 16 Section 12 - Facebook Prophet/Python - Accuracy Assessment [TutFlix.ORG]/Python - Accuracy Assessment.mp419.53MB
  • 16 Section 12 - Facebook Prophet/Python - Black Friday [TutFlix.ORG]/Python - Black Friday.mp414.52MB
  • 16 Section 12 - Facebook Prophet/Python - Combining Events and Preparing Dataframe [TutFlix.ORG]/Python - Combining Events and Preparing Dataframe.mp415.02MB
  • 16 Section 12 - Facebook Prophet/Python - Cross-validation [TutFlix.ORG]/Python - Cross-validation.mp448.74MB
  • 16 Section 12 - Facebook Prophet/Python - Directory and Libraries [TutFlix.ORG]/Python - Directory and Libraries.mp413.47MB
  • 16 Section 12 - Facebook Prophet/Python - Easter Holidays [TutFlix.ORG]/Python - Easter Holidays.mp422.88MB
  • 16 Section 12 - Facebook Prophet/Python - Forecasting [TutFlix.ORG]/Python - Forecasting.mp421.3MB
  • 16 Section 12 - Facebook Prophet/Python - Future Dataframe [TutFlix.ORG]/Python - Future Dataframe.mp432.45MB
  • 16 Section 12 - Facebook Prophet/Python - Loading Data [TutFlix.ORG]/Python - Loading Data.mp411.22MB
  • 16 Section 12 - Facebook Prophet/Python - Parameter Grid [TutFlix.ORG]/Python - Parameter Grid.mp422.66MB
  • 16 Section 12 - Facebook Prophet/Python - Parameter Tuning [TutFlix.ORG]/Python - Parameter Tuning.mp447.1MB
  • 16 Section 12 - Facebook Prophet/Python - Regressor Coefficients [TutFlix.ORG]/Python - Regressor Coefficients.mp47.76MB
  • 16 Section 12 - Facebook Prophet/Python - Renaming Variables [TutFlix.ORG]/Python - Renaming Variables.mp49.13MB
  • 16 Section 12 - Facebook Prophet/Python - Training and Test Set [TutFlix.ORG]/Python - Training and Test Set.mp410.91MB
  • 16 Section 12 - Facebook Prophet/Python - Transforming Date Variable [TutFlix.ORG]/Python - Transforming Date Variable.mp417.52MB
  • 16 Section 12 - Facebook Prophet/Python - Visualization [TutFlix.ORG]/Python - Visualization.mp430.65MB
  • 16 Section 12 - Facebook Prophet/Structural Time Series [TutFlix.ORG]/Structural Time Series.mp46.85MB
  • 16 Section 12 - Facebook Prophet/Training and Test Set [TutFlix.ORG]/Training and Test Set.mp44.64MB
  • 17 Where To Go From Here/Thank You!/Thank You!.mp488.98MB
  • 3 Section 2 - Basic Statistics/Arithmetic Mean/Arithmetic Mean.mp46.94MB
  • 3 Section 2 - Basic Statistics/Basic Statistics - Game Plan/Basic Statistics - Game Plan.mp42.66MB
  • 3 Section 2 - Basic Statistics/CASE STUDY - Moneyball (Briefing)/CASE STUDY - Moneyball (Briefing).mp41.41MB
  • 3 Section 2 - Basic Statistics/CASE STUDY - Moneyball/CASE STUDY - Moneyball.mp47.55MB
  • 3 Section 2 - Basic Statistics/Correlation/Correlation.mp415.94MB
  • 3 Section 2 - Basic Statistics/EXERCISE - Python - Correlation/EXERCISE - Python - Correlation.mp415.01MB
  • 3 Section 2 - Basic Statistics/EXERCISE - Python - Mean/EXERCISE - Python - Mean.mp411.65MB
  • 3 Section 2 - Basic Statistics/EXERCISE - Python - Median/EXERCISE - Python - Median.mp412.69MB
  • 3 Section 2 - Basic Statistics/EXERCISE - Python - Mode/EXERCISE - Python - Mode.mp411.9MB
  • 3 Section 2 - Basic Statistics/EXERCISE - Python - Standard Deviation/EXERCISE - Python - Standard Deviation.mp44.18MB
  • 3 Section 2 - Basic Statistics/Median and Mode/Median and Mode.mp44.66MB
  • 3 Section 2 - Basic Statistics/Python - Correlation/Python - Correlation.mp436.21MB
  • 3 Section 2 - Basic Statistics/Python - Directory, Libraries and Data/Python - Directory, Libraries and Data.mp439.89MB
  • 3 Section 2 - Basic Statistics/Python - Mean/Python - Mean.mp438.89MB
  • 3 Section 2 - Basic Statistics/Python - Median/Python - Median.mp417.42MB
  • 3 Section 2 - Basic Statistics/Python - Mode/Python - Mode.mp415.57MB
  • 3 Section 2 - Basic Statistics/Python - Standard Deviation/Python - Standard Deviation.mp418.59MB
  • 3 Section 2 - Basic Statistics/Standard Deviation/Standard Deviation.mp44.25MB
  • 4 Section 3 - Intermediary Statistics/CASE STUDY - Remote Work Predictions (Briefing)/CASE STUDY - Remote Work Predictions (Briefing).mp42.29MB
  • 4 Section 3 - Intermediary Statistics/CASE STUDY - Wine Quality (Briefing)/CASE STUDY - Wine Quality (Briefing).mp45.37MB
  • 4 Section 3 - Intermediary Statistics/Chi-square test/Chi-square test.mp45.94MB
  • 4 Section 3 - Intermediary Statistics/Confidence Interval/Confidence Interval.mp436.08MB
  • 4 Section 3 - Intermediary Statistics/EXERCISE - Python - Chi-square/EXERCISE - Python - Chi-square.mp417.53MB
  • 4 Section 3 - Intermediary Statistics/EXERCISE - Python - Confidence Interval/EXERCISE - Python - Confidence Interval.mp413.96MB
  • 4 Section 3 - Intermediary Statistics/EXERCISE - Python - Normal Distribution/EXERCISE - Python - Normal Distribution.mp426.98MB
  • 4 Section 3 - Intermediary Statistics/EXERCISE - Python - Shapiro-Wilks/EXERCISE - Python - Shapiro-Wilks.mp410.18MB
  • 4 Section 3 - Intermediary Statistics/EXERCISE - Python - Standard Error/EXERCISE - Python - Standard Error.mp410.56MB
  • 4 Section 3 - Intermediary Statistics/EXERCISE - Python - T-test/EXERCISE - Python - T-test.mp422.85MB
  • 4 Section 3 - Intermediary Statistics/Intermediary Statistics - Game Plan/Intermediary Statistics - Game Plan.mp41.94MB
  • 4 Section 3 - Intermediary Statistics/Normal Distribution/Normal Distribution.mp47.16MB
  • 4 Section 3 - Intermediary Statistics/P-Value/P-Value.mp414.48MB
  • 4 Section 3 - Intermediary Statistics/Powerposing and p-hacking/Powerposing and p-hacking.mp410.56MB
  • 4 Section 3 - Intermediary Statistics/Python - Chi-square test/Python - Chi-square test.mp447.07MB
  • 4 Section 3 - Intermediary Statistics/Python - Confidence Interval/Python - Confidence Interval.mp440.47MB
  • 4 Section 3 - Intermediary Statistics/Python - Normal Distribution Visualization/Python - Normal Distribution Visualization.mp436.85MB
  • 4 Section 3 - Intermediary Statistics/Python - Preparing Script and Loading Data/Python - Preparing Script and Loading Data.mp420.29MB
  • 4 Section 3 - Intermediary Statistics/Python - Shapiro-Wilks Test/Python - Shapiro-Wilks Test.mp441.83MB
  • 4 Section 3 - Intermediary Statistics/Python - Standard Error/Python - Standard Error.mp425.89MB
  • 4 Section 3 - Intermediary Statistics/Python - T-test/Python - T-test.mp456.79MB
  • 4 Section 3 - Intermediary Statistics/Shapiro-Wilks Test/Shapiro-Wilks Test.mp44.58MB
  • 4 Section 3 - Intermediary Statistics/Standard Error of the Mean/Standard Error of the Mean.mp45.87MB
  • 4 Section 3 - Intermediary Statistics/T-test/T-test.mp45.3MB
  • 4 Section 3 - Intermediary Statistics/Z-Score/Z-Score.mp45.8MB
  • 5 Section 4 - Linear Regression/CASE STUDY - Diamonds (Briefing)/CASE STUDY - Diamonds (Briefing).mp42.78MB
  • 5 Section 4 - Linear Regression/Dummy Variable Trap/Dummy Variable Trap.mp47.41MB
  • 5 Section 4 - Linear Regression/EXERCISE - Python - Linear Regression/EXERCISE - Python - Linear Regression.mp425.29MB
  • 5 Section 4 - Linear Regression/Linear Regression - Game Plan/Linear Regression - Game Plan.mp42.98MB
  • 5 Section 4 - Linear Regression/Linear Regression Output/Linear Regression Output.mp434.26MB
  • 5 Section 4 - Linear Regression/Linear Regression/Linear Regression.mp410.07MB
  • 5 Section 4 - Linear Regression/Python - Adding Constant/Python - Adding Constant.mp48.62MB
  • 5 Section 4 - Linear Regression/Python - Dummy Variable/Python - Dummy Variable.mp414.62MB
  • 5 Section 4 - Linear Regression/Python - Isolate X and Y/Python - Isolate X and Y.mp410.8MB
  • 5 Section 4 - Linear Regression/Python - Linear Regression Model and Summary/Python - Linear Regression Model and Summary.mp416.58MB
  • 5 Section 4 - Linear Regression/Python - Plotting Regression/Python - Plotting Regression.mp421.59MB
  • 5 Section 4 - Linear Regression/Python - Preparing Script and Loading Data/Python - Preparing Script and Loading Data.mp422.21MB
  • 6 Section 5 - Multilinear Regression/Accuracy KPIs (Key Performance Indicators)/Accuracy KPIs (Key Performance Indicators).mp48.58MB
  • 6 Section 5 - Multilinear Regression/CASE STUDY - Professors' Salary (Briefing)/CASE STUDY - Professors' Salary (Briefing).mp41.54MB
  • 6 Section 5 - Multilinear Regression/CHALLENGE - Introduction/CHALLENGE - Introduction.mp418.6MB
  • 6 Section 5 - Multilinear Regression/CHALLENGE - Solutions/CHALLENGE - Solutions.mp465.06MB
  • 6 Section 5 - Multilinear Regression/Multilinear Regression - Game Plan/Multilinear Regression - Game Plan.mp43.32MB
  • 6 Section 5 - Multilinear Regression/Outliers/Outliers.mp44.71MB
  • 6 Section 5 - Multilinear Regression/Python - Accuracy Assessment/Python - Accuracy Assessment.mp421.69MB
  • 6 Section 5 - Multilinear Regression/Python - Adding Constant/Python - Adding Constant.mp44.62MB
  • 6 Section 5 - Multilinear Regression/Python - Categorical Variables/Python - Categorical Variables.mp418.37MB
  • 6 Section 5 - Multilinear Regression/Python - Correlation Matrix/Python - Correlation Matrix.mp411.96MB
  • 6 Section 5 - Multilinear Regression/Python - Creating Dummy Variables/Python - Creating Dummy Variables.mp49.3MB
  • 6 Section 5 - Multilinear Regression/Python - For Loop/Python - For Loop.mp417.63MB
  • 6 Section 5 - Multilinear Regression/Python - Isolate X and Y/Python - Isolate X and Y.mp414.26MB
  • 6 Section 5 - Multilinear Regression/Python - Model Predictions/Python - Model Predictions.mp45.86MB
  • 6 Section 5 - Multilinear Regression/Python - Multilinear Regression/Python - Multilinear Regression.mp421.37MB
  • 6 Section 5 - Multilinear Regression/Python - Plotting Continuous Variables/Python - Plotting Continuous Variables.mp422.03MB
  • 6 Section 5 - Multilinear Regression/Python - Preparing Script and Loading Data/Python - Preparing Script and Loading Data.mp426.78MB
  • 6 Section 5 - Multilinear Regression/Python - Summary Statistics/Python - Summary Statistics.mp49.55MB
  • 6 Section 5 - Multilinear Regression/Python - Train and Test Split/Python - Train and Test Split.mp48.26MB
  • 6 Section 5 - Multilinear Regression/The Concept of Multilinear Regression/The Concept of Multilinear Regression.mp42.9MB
  • 6 Section 5 - Multilinear Regression/Training and Test Set/Training and Test Set.mp41.71MB
  • 6 Section 5 - Multilinear Regression/Under and Over Fitting/Under and Over Fitting.mp42.8MB
  • 7 Section 6 - Logistic Regression/CASE STUDY - Spam Emails (Briefing)/CASE STUDY - Spam Emails (Briefing).mp42.62MB
  • 7 Section 6 - Logistic Regression/CHALLENGE - Introduction/CHALLENGE - Introduction.mp426.05MB
  • 7 Section 6 - Logistic Regression/CHALLENGE - Solutions/CHALLENGE - Solutions.mp466.38MB
  • 7 Section 6 - Logistic Regression/Confusion Matrix/Confusion Matrix.mp415.22MB
  • 7 Section 6 - Logistic Regression/How to Read Logistic Regression Coefficients/How to Read Logistic Regression Coefficients.mp46.75MB
  • 7 Section 6 - Logistic Regression/Logistic Regression - Game Plan/Logistic Regression - Game Plan.mp42.88MB
  • 7 Section 6 - Logistic Regression/Logistic Regression/Logistic Regression.mp48.42MB
  • 7 Section 6 - Logistic Regression/Python - Classification Report/Python - Classification Report.mp415.91MB
  • 7 Section 6 - Logistic Regression/Python - Confusion Matrix/Python - Confusion Matrix.mp427.38MB
  • 7 Section 6 - Logistic Regression/Python - Correlation Matrix/Python - Correlation Matrix.mp411.81MB
  • 7 Section 6 - Logistic Regression/Python - Function to Read Coefficients/Python - Function to Read Coefficients.mp436.33MB
  • 7 Section 6 - Logistic Regression/Python - Histogram and Outlier Removal/Python - Histogram and Outlier Removal.mp444.25MB
  • 7 Section 6 - Logistic Regression/Python - Logistic Regression/Python - Logistic Regression.mp415.21MB
  • 7 Section 6 - Logistic Regression/Python - Manual Accuracy Assessment/Python - Manual Accuracy Assessment.mp422.74MB
  • 7 Section 6 - Logistic Regression/Python - Predictions/Python - Predictions.mp415.52MB
  • 7 Section 6 - Logistic Regression/Python - Prepare X and Y/Python - Prepare X and Y.mp48.81MB
  • 7 Section 6 - Logistic Regression/Python - Preparing Script and Loading Data/Python - Preparing Script and Loading Data.mp425.2MB
  • 7 Section 6 - Logistic Regression/Python - Summary Statistics/Python - Summary Statistics.mp425.54MB
  • 7 Section 6 - Logistic Regression/Python - Training and Test Set/Python - Training and Test Set.mp423.66MB
  • 7 Section 6 - Logistic Regression/Python - Transforming Dependent Variable/Python - Transforming Dependent Variable.mp418.08MB
  • 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Assumptions/Assumptions.mp45.76MB
  • 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/CASE STUDY - Bitcoin Pricing (Briefing)/CASE STUDY - Bitcoin Pricing (Briefing).mp46.16MB
  • 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/CHALLENGE - Introduction/CHALLENGE - Introduction.mp423.75MB
  • 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/CHALLENGE - Solutions/CHALLENGE - Solutions.mp466.55MB
  • 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Causal Impact Step-by-Step/Causal Impact Step-by-Step.mp43.4MB
  • 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Correlation Recap and Stationarity/Correlation Recap and Stationarity.mp48.14MB
  • 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Difference-in-Differences Framework/Difference-in-Differences Framework.mp44.45MB
  • 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Google Causal Impact - Game Plan/Google Causal Impact - Game Plan.mp43.03MB
  • 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Interpretation of Results/Interpretation of Results.mp411.74MB
  • 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Bitcoin Price loading/Python - Bitcoin Price loading.mp419.14MB
  • 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Correlation/Python - Correlation.mp417.87MB
  • 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Defining Dates/Python - Defining Dates.mp48.59MB
  • 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Google Causal Impact Setup/Python - Google Causal Impact Setup.mp48.96MB
  • 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Google Causal Impact/Python - Google Causal Impact.mp438.33MB
  • 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Impact Results/Python - Impact Results.mp434.21MB
  • 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Installing and Importing Libraries/Python - Installing and Importing Libraries.mp411.88MB
  • 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Load Control Groups/Python - Load Control Groups.mp420.57MB
  • 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Preparing DataFrame/Python - Preparing DataFrame.mp445.96MB
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