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

Creation Time	Dec. 9, 2025, 12:46 a.m.
Last Access Time	Dec. 9, 2025, 5:35 a.m.
File Size	4.9 GB
Keywords	Business for Python Data - Analytics GigaCourse Intelligence ZeroToMastery Com
Total Requests	10
Total Files	257
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13 Section 10 - Gaussian Mixture/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4 216.4 MB
1 Section 1 - Introduction/Python for Business Analytics & Intelligence/Python for Business Analytics & Intelligence.mp4 169.8 MB
10 Section 8 - Matching/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4 112.2 MB
13 Section 10 - Gaussian Mixture/Python - Interpretation/Python - Interpretation.mp4 104.0 MB
10 Section 8 - Matching/Python - Logistic Regression and Debugging/Python - Logistic Regression and Debugging.mp4 92.7 MB
16 Section 12 - Facebook Prophet/CHALLENGE - Solutions (Part 2) [TutFlix.ORG]/CHALLENGE - Solutions (Part 2).mp4 92.6 MB
17 Where To Go From Here/Thank You!/Thank You!.mp4 89.0 MB
10 Section 8 - Matching/Python - Race Variable Transformation/Python - Race Variable Transformation.mp4 86.1 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4 66.5 MB
7 Section 6 - Logistic Regression/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4 66.4 MB
6 Section 5 - Multilinear Regression/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4 65.1 MB
16 Section 12 - Facebook Prophet/CHALLENGE - Solutions (Part 3) [TutFlix.ORG]/CHALLENGE - Solutions (Part 3).mp4 63.7 MB
10 Section 8 - Matching/Python - Robustness Check - Repeated experiments/Python - Robustness Check - Repeated experiments.mp4 57.4 MB
4 Section 3 - Intermediary Statistics/Python - T-test/Python - T-test.mp4 56.8 MB
16 Section 12 - Facebook Prophet/CHALLENGE - Solutions (Part 1) [TutFlix.ORG]/CHALLENGE - Solutions (Part 1).mp4 56.7 MB
15 Section 11 - Random Forest/CHALLENGE - Solutions (Part 1)/CHALLENGE - Solutions (Part 1).mp4 54.5 MB
15 Section 11 - Random Forest/CHALLENGE - Solutions (Part 2)/CHALLENGE - Solutions (Part 2).mp4 49.0 MB
16 Section 12 - Facebook Prophet/Python - Cross-validation [TutFlix.ORG]/Python - Cross-validation.mp4 48.7 MB
16 Section 12 - Facebook Prophet/Python - Parameter Tuning [TutFlix.ORG]/Python - Parameter Tuning.mp4 47.1 MB
4 Section 3 - Intermediary Statistics/Python - Chi-square test/Python - Chi-square test.mp4 47.1 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Stationarity/Python - Stationarity.mp4 46.4 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Preparing DataFrame/Python - Preparing DataFrame.mp4 46.0 MB
7 Section 6 - Logistic Regression/Python - Histogram and Outlier Removal/Python - Histogram and Outlier Removal.mp4 44.3 MB
10 Section 8 - Matching/Python - Education Variables/Python - Education Variables.mp4 44.2 MB
15 Section 11 - Random Forest/Python - Parameter Tuning/Python - Parameter Tuning.mp4 43.8 MB
10 Section 8 - Matching/Python - Matching/Python - Matching.mp4 43.5 MB
4 Section 3 - Intermediary Statistics/Python - Shapiro-Wilks Test/Python - Shapiro-Wilks Test.mp4 41.8 MB
4 Section 3 - Intermediary Statistics/Python - Confidence Interval/Python - Confidence Interval.mp4 40.5 MB
3 Section 2 - Basic Statistics/Python - Directory, Libraries and Data/Python - Directory, Libraries and Data.mp4 39.9 MB
3 Section 2 - Basic Statistics/Python - Mean/Python - Mean.mp4 38.9 MB
10 Section 8 - Matching/Python - Chi-square Test/Python - Chi-square Test.mp4 38.8 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4 38.4 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Google Causal Impact/Python - Google Causal Impact.mp4 38.3 MB
4 Section 3 - Intermediary Statistics/Python - Normal Distribution Visualization/Python - Normal Distribution Visualization.mp4 36.8 MB
13 Section 10 - Gaussian Mixture/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4 36.8 MB
7 Section 6 - Logistic Regression/Python - Function to Read Coefficients/Python - Function to Read Coefficients.mp4 36.3 MB
3 Section 2 - Basic Statistics/Python - Correlation/Python - Correlation.mp4 36.2 MB
4 Section 3 - Intermediary Statistics/Confidence Interval/Confidence Interval.mp4 36.1 MB
16 Section 12 - Facebook Prophet/Facebook Prophet Model [TutFlix.ORG]/Facebook Prophet Model.mp4 35.8 MB
10 Section 8 - Matching/Python - Preparing for Common Support Region/Python - Preparing for Common Support Region.mp4 35.0 MB
10 Section 8 - Matching/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4 34.8 MB
1 Section 1 - Introduction/Setting up the Course Material/Setting up the Course Material.mp4 34.5 MB
5 Section 4 - Linear Regression/Linear Regression Output/Linear Regression Output.mp4 34.3 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Impact Results/Python - Impact Results.mp4 34.2 MB
15 Section 11 - Random Forest/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4 34.1 MB
16 Section 12 - Facebook Prophet/Python - Future Dataframe [TutFlix.ORG]/Python - Future Dataframe.mp4 32.4 MB
10 Section 8 - Matching/Python - Loading Data/Python - Loading Data.mp4 31.3 MB
16 Section 12 - Facebook Prophet/Python - Visualization [TutFlix.ORG]/Python - Visualization.mp4 30.6 MB
10 Section 8 - Matching/Python - Robustness Check - Removing 1 confounder/Python - Robustness Check - Removing 1 confounder.mp4 29.4 MB
13 Section 10 - Gaussian Mixture/Python - Optimal Number of Clusters/Python - Optimal Number of Clusters.mp4 29.3 MB
10 Section 8 - Matching/Python - Cleaning and Preparing Dataset/Python - Cleaning and Preparing Dataset.mp4 28.8 MB
15 Section 11 - Random Forest/Python - Training and Test Set/Python - Training and Test Set.mp4 27.4 MB
7 Section 6 - Logistic Regression/Python - Confusion Matrix/Python - Confusion Matrix.mp4 27.4 MB
4 Section 3 - Intermediary Statistics/EXERCISE - Python - Normal Distribution/EXERCISE - Python - Normal Distribution.mp4 27.0 MB
6 Section 5 - Multilinear Regression/Python - Preparing Script and Loading Data/Python - Preparing Script and Loading Data.mp4 26.8 MB
10 Section 8 - Matching/Python - T-Test/Python - T-Test.mp4 26.2 MB
7 Section 6 - Logistic Regression/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4 26.1 MB
4 Section 3 - Intermediary Statistics/Python - Standard Error/Python - Standard Error.mp4 25.9 MB
7 Section 6 - Logistic Regression/Python - Summary Statistics/Python - Summary Statistics.mp4 25.5 MB
5 Section 4 - Linear Regression/EXERCISE - Python - Linear Regression/EXERCISE - Python - Linear Regression.mp4 25.3 MB
7 Section 6 - Logistic Regression/Python - Preparing Script and Loading Data/Python - Preparing Script and Loading Data.mp4 25.2 MB
1 Section 1 - Introduction/Introduction/Introduction.mp4 25.1 MB
15 Section 11 - Random Forest/Python - Classification Report and F1 score/Python - Classification Report and F1 score.mp4 24.9 MB
10 Section 8 - Matching/Python - T-Test Loop/Python - T-Test Loop.mp4 23.8 MB
10 Section 8 - Matching/Python - Other Variables/Python - Other Variables.mp4 23.8 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4 23.7 MB
7 Section 6 - Logistic Regression/Python - Training and Test Set/Python - Training and Test Set.mp4 23.7 MB
10 Section 8 - Matching/Python - Chi-square Loop/Python - Chi-square Loop.mp4 23.2 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Quartiles/Python - Quartiles.mp4 23.0 MB
16 Section 12 - Facebook Prophet/Python - Easter Holidays [TutFlix.ORG]/Python - Easter Holidays.mp4 22.9 MB
4 Section 3 - Intermediary Statistics/EXERCISE - Python - T-test/EXERCISE - Python - T-test.mp4 22.8 MB
7 Section 6 - Logistic Regression/Python - Manual Accuracy Assessment/Python - Manual Accuracy Assessment.mp4 22.7 MB
16 Section 12 - Facebook Prophet/Python - Parameter Grid [TutFlix.ORG]/Python - Parameter Grid.mp4 22.7 MB
5 Section 4 - Linear Regression/Python - Preparing Script and Loading Data/Python - Preparing Script and Loading Data.mp4 22.2 MB
6 Section 5 - Multilinear Regression/Python - Plotting Continuous Variables/Python - Plotting Continuous Variables.mp4 22.0 MB
6 Section 5 - Multilinear Regression/Python - Accuracy Assessment/Python - Accuracy Assessment.mp4 21.7 MB
5 Section 4 - Linear Regression/Python - Plotting Regression/Python - Plotting Regression.mp4 21.6 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Customer Level Aggregation/Python - Customer Level Aggregation.mp4 21.6 MB
6 Section 5 - Multilinear Regression/Python - Multilinear Regression/Python - Multilinear Regression.mp4 21.4 MB
16 Section 12 - Facebook Prophet/Python - Forecasting [TutFlix.ORG]/Python - Forecasting.mp4 21.3 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Loading Data/Python - Loading Data.mp4 21.2 MB
15 Section 11 - Random Forest/Python - Summary Statistics/Python - Summary Statistics.mp4 20.9 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Load Control Groups/Python - Load Control Groups.mp4 20.6 MB
13 Section 10 - Gaussian Mixture/Python - Load Data/Python - Load Data.mp4 20.4 MB
4 Section 3 - Intermediary Statistics/Python - Preparing Script and Loading Data/Python - Preparing Script and Loading Data.mp4 20.3 MB
10 Section 8 - Matching/Python - Comparing Means/Python - Comparing Means.mp4 20.0 MB
16 Section 12 - Facebook Prophet/CHALLENGE - Introduction [TutFlix.ORG]/CHALLENGE - Introduction.mp4 20.0 MB
16 Section 12 - Facebook Prophet/Python - Accuracy Assessment [TutFlix.ORG]/Python - Accuracy Assessment.mp4 19.5 MB
15 Section 11 - Random Forest/Python - Feature Importance/Python - Feature Importance.mp4 19.5 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Bitcoin Price loading/Python - Bitcoin Price loading.mp4 19.1 MB
6 Section 5 - Multilinear Regression/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4 18.6 MB
3 Section 2 - Basic Statistics/Python - Standard Deviation/Python - Standard Deviation.mp4 18.6 MB
15 Section 11 - Random Forest/Python - Loading Data/Python - Loading Data.mp4 18.5 MB
6 Section 5 - Multilinear Regression/Python - Categorical Variables/Python - Categorical Variables.mp4 18.4 MB
7 Section 6 - Logistic Regression/Python - Transforming Dependent Variable/Python - Transforming Dependent Variable.mp4 18.1 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Correlation/Python - Correlation.mp4 17.9 MB
6 Section 5 - Multilinear Regression/Python - For Loop/Python - For Loop.mp4 17.6 MB
4 Section 3 - Intermediary Statistics/EXERCISE - Python - Chi-square/EXERCISE - Python - Chi-square.mp4 17.5 MB
16 Section 12 - Facebook Prophet/Python - Transforming Date Variable [TutFlix.ORG]/Python - Transforming Date Variable.mp4 17.5 MB
3 Section 2 - Basic Statistics/Python - Median/Python - Median.mp4 17.4 MB
10 Section 8 - Matching/Python - Directory and Libraries/Python - Directory and Libraries.mp4 16.7 MB
5 Section 4 - Linear Regression/Python - Linear Regression Model and Summary/Python - Linear Regression Model and Summary.mp4 16.6 MB
3 Section 2 - Basic Statistics/Correlation/Correlation.mp4 15.9 MB
7 Section 6 - Logistic Regression/Python - Classification Report/Python - Classification Report.mp4 15.9 MB
15 Section 11 - Random Forest/Python - Parameter Grid/Python - Parameter Grid.mp4 15.7 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Preparing for Correlation Matrix/Python - Preparing for Correlation Matrix.mp4 15.6 MB
3 Section 2 - Basic Statistics/Python - Mode/Python - Mode.mp4 15.6 MB
7 Section 6 - Logistic Regression/Python - Predictions/Python - Predictions.mp4 15.5 MB
7 Section 6 - Logistic Regression/Confusion Matrix/Confusion Matrix.mp4 15.2 MB
7 Section 6 - Logistic Regression/Python - Logistic Regression/Python - Logistic Regression.mp4 15.2 MB
15 Section 11 - Random Forest/Python - Isolate X and Y/Python - Isolate X and Y.mp4 15.1 MB
16 Section 12 - Facebook Prophet/Python - Combining Events and Preparing Dataframe [TutFlix.ORG]/Python - Combining Events and Preparing Dataframe.mp4 15.0 MB
3 Section 2 - Basic Statistics/EXERCISE - Python - Correlation/EXERCISE - Python - Correlation.mp4 15.0 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Results Summary/Python - Results Summary.mp4 14.9 MB
13 Section 10 - Gaussian Mixture/Python - Directory and Data/Python - Directory and Data.mp4 14.8 MB
5 Section 4 - Linear Regression/Python - Dummy Variable/Python - Dummy Variable.mp4 14.6 MB
16 Section 12 - Facebook Prophet/Python - Black Friday [TutFlix.ORG]/Python - Black Friday.mp4 14.5 MB
4 Section 3 - Intermediary Statistics/P-Value/P-Value.mp4 14.5 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Creating Sales Variable/Python - Creating Sales Variable.mp4 14.3 MB
6 Section 5 - Multilinear Regression/Python - Isolate X and Y/Python - Isolate X and Y.mp4 14.3 MB
10 Section 8 - Matching/Common Support Region/Common Support Region.mp4 14.2 MB
13 Section 10 - Gaussian Mixture/Python - Transform Character variables/Python - Transform Character variables.mp4 14.2 MB
4 Section 3 - Intermediary Statistics/EXERCISE - Python - Confidence Interval/EXERCISE - Python - Confidence Interval.mp4 14.0 MB
16 Section 12 - Facebook Prophet/Python - Directory and Libraries [TutFlix.ORG]/Python - Directory and Libraries.mp4 13.5 MB
13 Section 10 - Gaussian Mixture/Python - Cluster Prediction and Assignment/Python - Cluster Prediction and Assignment.mp4 12.9 MB
3 Section 2 - Basic Statistics/EXERCISE - Python - Median/EXERCISE - Python - Median.mp4 12.7 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Tidying up Dataframe/Python - Tidying up Dataframe.mp4 12.1 MB
6 Section 5 - Multilinear Regression/Python - Correlation Matrix/Python - Correlation Matrix.mp4 12.0 MB
3 Section 2 - Basic Statistics/EXERCISE - Python - Mode/EXERCISE - Python - Mode.mp4 11.9 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Installing and Importing Libraries/Python - Installing and Importing Libraries.mp4 11.9 MB
7 Section 6 - Logistic Regression/Python - Correlation Matrix/Python - Correlation Matrix.mp4 11.8 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Interpretation of Results/Interpretation of Results.mp4 11.7 MB
15 Section 11 - Random Forest/Python - Random Forest Model/Python - Random Forest Model.mp4 11.7 MB
3 Section 2 - Basic Statistics/EXERCISE - Python - Mean/EXERCISE - Python - Mean.mp4 11.7 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Date Variable/Python - Date Variable.mp4 11.5 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - RFM Function/Python - RFM Function.mp4 11.4 MB
16 Section 12 - Facebook Prophet/Python - Loading Data [TutFlix.ORG]/Python - Loading Data.mp4 11.2 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Why Econometrics and Causal Inference/Why Econometrics and Causal Inference.mp4 11.2 MB
1 Section 1 - Introduction/The Modern Day Business Analyst/The Modern Day Business Analyst.mp4 11.0 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4 10.9 MB
16 Section 12 - Facebook Prophet/Python - Training and Test Set [TutFlix.ORG]/Python - Training and Test Set.mp4 10.9 MB
5 Section 4 - Linear Regression/Python - Isolate X and Y/Python - Isolate X and Y.mp4 10.8 MB
4 Section 3 - Intermediary Statistics/Powerposing and p-hacking/Powerposing and p-hacking.mp4 10.6 MB
4 Section 3 - Intermediary Statistics/EXERCISE - Python - Standard Error/EXERCISE - Python - Standard Error.mp4 10.6 MB
4 Section 3 - Intermediary Statistics/EXERCISE - Python - Shapiro-Wilks/EXERCISE - Python - Shapiro-Wilks.mp4 10.2 MB
5 Section 4 - Linear Regression/Linear Regression/Linear Regression.mp4 10.1 MB
15 Section 11 - Random Forest/Python - Transform Object into Numerical Variables/Python - Transform Object into Numerical Variables.mp4 9.9 MB
15 Section 11 - Random Forest/Python - Directory and Libraries/Python - Directory and Libraries.mp4 9.8 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Directory and Libraries/Python - Directory and Libraries.mp4 9.7 MB
6 Section 5 - Multilinear Regression/Python - Summary Statistics/Python - Summary Statistics.mp4 9.5 MB
6 Section 5 - Multilinear Regression/Python - Creating Dummy Variables/Python - Creating Dummy Variables.mp4 9.3 MB
16 Section 12 - Facebook Prophet/Python - Renaming Variables [TutFlix.ORG]/Python - Renaming Variables.mp4 9.1 MB
13 Section 10 - Gaussian Mixture/Python - Gaussian Mixture Model/Python - Gaussian Mixture Model.mp4 9.1 MB
10 Section 8 - Matching/Python - Common Support Region Visualization/Python - Common Support Region Visualization.mp4 9.1 MB
15 Section 11 - Random Forest/How Decision Trees Work/How Decision Trees Work.mp4 9.1 MB
10 Section 8 - Matching/Python - Outcome Visualization/Python - Outcome Visualization.mp4 9.1 MB
16 Section 12 - Facebook Prophet/Forecasting at Uber [TutFlix.ORG]/Forecasting at Uber.mp4 9.0 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Google Causal Impact Setup/Python - Google Causal Impact Setup.mp4 9.0 MB
7 Section 6 - Logistic Regression/Python - Prepare X and Y/Python - Prepare X and Y.mp4 8.8 MB
5 Section 4 - Linear Regression/Python - Adding Constant/Python - Adding Constant.mp4 8.6 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Defining Dates/Python - Defining Dates.mp4 8.6 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Applying RFM Function/Python - Applying RFM Function.mp4 8.6 MB
6 Section 5 - Multilinear Regression/Accuracy KPIs (Key Performance Indicators)/Accuracy KPIs (Key Performance Indicators).mp4 8.6 MB
7 Section 6 - Logistic Regression/Logistic Regression/Logistic Regression.mp4 8.4 MB
10 Section 8 - Matching/Matching/Matching.mp4 8.4 MB
6 Section 5 - Multilinear Regression/Python - Train and Test Split/Python - Train and Test Split.mp4 8.3 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Correlation Recap and Stationarity/Correlation Recap and Stationarity.mp4 8.1 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/RFM Model/RFM Model.mp4 8.1 MB
13 Section 10 - Gaussian Mixture/Gaussian Mixture Model/Gaussian Mixture Model.mp4 8.0 MB
16 Section 12 - Facebook Prophet/Python - Regressor Coefficients [TutFlix.ORG]/Python - Regressor Coefficients.mp4 7.8 MB
3 Section 2 - Basic Statistics/CASE STUDY - Moneyball/CASE STUDY - Moneyball.mp4 7.5 MB
16 Section 12 - Facebook Prophet/Facebook Prophet [TutFlix.ORG]/Facebook Prophet.mp4 7.5 MB
5 Section 4 - Linear Regression/Dummy Variable Trap/Dummy Variable Trap.mp4 7.4 MB
13 Section 10 - Gaussian Mixture/My Experience with Segmentation/My Experience with Segmentation.mp4 7.2 MB
4 Section 3 - Intermediary Statistics/Normal Distribution/Normal Distribution.mp4 7.2 MB
3 Section 2 - Basic Statistics/Arithmetic Mean/Arithmetic Mean.mp4 6.9 MB
16 Section 12 - Facebook Prophet/Structural Time Series [TutFlix.ORG]/Structural Time Series.mp4 6.8 MB
7 Section 6 - Logistic Regression/How to Read Logistic Regression Coefficients/How to Read Logistic Regression Coefficients.mp4 6.8 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - RFM Score/Python - RFM Score.mp4 6.6 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/CASE STUDY - Bitcoin Pricing (Briefing)/CASE STUDY - Bitcoin Pricing (Briefing).mp4 6.2 MB
16 Section 12 - Facebook Prophet/Additive vs [TutFlix.ORG]. Multiplicative Seasonality/Additive vs. Multiplicative Seasonality.mp4 6.1 MB
4 Section 3 - Intermediary Statistics/Chi-square test/Chi-square test.mp4 5.9 MB
15 Section 11 - Random Forest/Parameter Tuning/Parameter Tuning.mp4 5.9 MB
4 Section 3 - Intermediary Statistics/Standard Error of the Mean/Standard Error of the Mean.mp4 5.9 MB
6 Section 5 - Multilinear Regression/Python - Model Predictions/Python - Model Predictions.mp4 5.9 MB
13 Section 10 - Gaussian Mixture/AIC and BIC/AIC and BIC.mp4 5.8 MB
4 Section 3 - Intermediary Statistics/Z-Score/Z-Score.mp4 5.8 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Assumptions/Assumptions.mp4 5.8 MB
10 Section 8 - Matching/Matching - Game Plan/Matching - Game Plan.mp4 5.5 MB
10 Section 8 - Matching/My Experience with Matching/My Experience with Matching.mp4 5.4 MB
4 Section 3 - Intermediary Statistics/CASE STUDY - Wine Quality (Briefing)/CASE STUDY - Wine Quality (Briefing).mp4 5.4 MB
4 Section 3 - Intermediary Statistics/T-test/T-test.mp4 5.3 MB
10 Section 8 - Matching/The Curse of Dimensionality/The Curse of Dimensionality.mp4 5.3 MB
16 Section 12 - Facebook Prophet/Facebook Prophet Parameters [TutFlix.ORG]/Facebook Prophet Parameters.mp4 5.2 MB
10 Section 8 - Matching/Unconfoundedness/Unconfoundedness.mp4 5.2 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Monetary Variable/Python - Monetary Variable.mp4 5.2 MB
16 Section 12 - Facebook Prophet/Dynamic Holidays [TutFlix.ORG]/Dynamic Holidays.mp4 4.9 MB
15 Section 11 - Random Forest/Python - Predictions/Python - Predictions.mp4 4.9 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Value Based Segmentation/Value Based Segmentation.mp4 4.8 MB
6 Section 5 - Multilinear Regression/Outliers/Outliers.mp4 4.7 MB
3 Section 2 - Basic Statistics/Median and Mode/Median and Mode.mp4 4.7 MB
13 Section 10 - Gaussian Mixture/Clustering/Clustering.mp4 4.6 MB
10 Section 8 - Matching/Robustness Checks/Robustness Checks.mp4 4.6 MB
16 Section 12 - Facebook Prophet/Training and Test Set [TutFlix.ORG]/Training and Test Set.mp4 4.6 MB
6 Section 5 - Multilinear Regression/Python - Adding Constant/Python - Adding Constant.mp4 4.6 MB
4 Section 3 - Intermediary Statistics/Shapiro-Wilks Test/Shapiro-Wilks Test.mp4 4.6 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Difference-in-Differences Framework/Difference-in-Differences Framework.mp4 4.5 MB
15 Section 11 - Random Forest/Ensemble Learning and Random Forest/Ensemble Learning and Random Forest.mp4 4.3 MB
3 Section 2 - Basic Statistics/Standard Deviation/Standard Deviation.mp4 4.3 MB
3 Section 2 - Basic Statistics/EXERCISE - Python - Standard Deviation/EXERCISE - Python - Standard Deviation.mp4 4.2 MB
15 Section 11 - Random Forest/Random Forest Quirks/Random Forest Quirks.mp4 3.8 MB
10 Section 8 - Matching/CASE STUDY - Catholic Schools & Standardized Tests (Briefing)/CASE STUDY - Catholic Schools & Standardized Tests (Briefing).mp4 3.5 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Causal Impact Step-by-Step/Causal Impact Step-by-Step.mp4 3.4 MB
6 Section 5 - Multilinear Regression/Multilinear Regression - Game Plan/Multilinear Regression - Game Plan.mp4 3.3 MB
16 Section 12 - Facebook Prophet/Parameters to tune [TutFlix.ORG]/Parameters to tune.mp4 3.2 MB
16 Section 12 - Facebook Prophet/Facebook Prophet - Game Plan [TutFlix.ORG]/Facebook Prophet - Game Plan.mp4 3.2 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Google Causal Impact - Game Plan/Google Causal Impact - Game Plan.mp4 3.0 MB
5 Section 4 - Linear Regression/Linear Regression - Game Plan/Linear Regression - Game Plan.mp4 3.0 MB
15 Section 11 - Random Forest/Random Forest - Game Plan/Random Forest - Game Plan.mp4 3.0 MB
9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Time Series Data/Time Series Data.mp4 2.9 MB
6 Section 5 - Multilinear Regression/The Concept of Multilinear Regression/The Concept of Multilinear Regression.mp4 2.9 MB
7 Section 6 - Logistic Regression/Logistic Regression - Game Plan/Logistic Regression - Game Plan.mp4 2.9 MB
6 Section 5 - Multilinear Regression/Under and Over Fitting/Under and Over Fitting.mp4 2.8 MB
5 Section 4 - Linear Regression/CASE STUDY - Diamonds (Briefing)/CASE STUDY - Diamonds (Briefing).mp4 2.8 MB
13 Section 10 - Gaussian Mixture/Gaussian Mixture - Game Plan/Gaussian Mixture - Game Plan.mp4 2.8 MB
16 Section 12 - Facebook Prophet/Cross-validation [TutFlix.ORG]/Cross-validation.mp4 2.7 MB
3 Section 2 - Basic Statistics/Basic Statistics - Game Plan/Basic Statistics - Game Plan.mp4 2.7 MB
13 Section 10 - Gaussian Mixture/CASE STUDY - Credit Cards #1 (Briefing)/CASE STUDY - Credit Cards #1 (Briefing).mp4 2.6 MB
7 Section 6 - Logistic Regression/CASE STUDY - Spam Emails (Briefing)/CASE STUDY - Spam Emails (Briefing).mp4 2.6 MB
16 Section 12 - Facebook Prophet/CASE STUDY - Wikipedia (Briefing) [TutFlix.ORG]/CASE STUDY - Wikipedia (Briefing).mp4 2.4 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/RFM - Game Plan/RFM - Game Plan.mp4 2.3 MB
4 Section 3 - Intermediary Statistics/CASE STUDY - Remote Work Predictions (Briefing)/CASE STUDY - Remote Work Predictions (Briefing).mp4 2.3 MB
4 Section 3 - Intermediary Statistics/Intermediary Statistics - Game Plan/Intermediary Statistics - Game Plan.mp4 1.9 MB
6 Section 5 - Multilinear Regression/Training and Test Set/Training and Test Set.mp4 1.7 MB
12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/CASE STUDY - Online Shopping (Briefing)/CASE STUDY - Online Shopping (Briefing).mp4 1.6 MB
6 Section 5 - Multilinear Regression/CASE STUDY - Professors' Salary (Briefing)/CASE STUDY - Professors' Salary (Briefing).mp4 1.5 MB
3 Section 2 - Basic Statistics/CASE STUDY - Moneyball (Briefing)/CASE STUDY - Moneyball (Briefing).mp4 1.4 MB
15 Section 11 - Random Forest/CASE STUDY - Credit Cards #2 (Briefing)/CASE STUDY - Credit Cards #2 (Briefing).mp4 1.2 MB
1 Section 1 - Introduction/Exercise_ Meet Your Classmates and Instructor.pdf 250.3 KB
11 PART C_ SEGMENTATION/What is Segmentation and why is it important.pdf 208.5 KB
8 PART B_ ECONOMETRICS & CAUSAL INFERENCE/What are Econometrics & Causal Inference and why are they important.pdf 190.7 KB
14 PART D_ PREDICTIVE ANALYTICS/What are Predictive Analytics and why are they important.pdf 186.1 KB
2 PART A_ STATISTICS/What are Statistics and why are they important.pdf 169.6 KB
0. Websites you may like/[CourseClub.Me].url 122 bytes
11 PART C_ SEGMENTATION/[CourseClub.Me].url 122 bytes
15 Section 11 - Random Forest/[CourseClub.Me].url 122 bytes
2 PART A_ STATISTICS/[CourseClub.Me].url 122 bytes
4 Section 3 - Intermediary Statistics/[CourseClub.Me].url 122 bytes
8 PART B_ ECONOMETRICS & CAUSAL INFERENCE/[CourseClub.Me].url 122 bytes
[CourseClub.Me].url 122 bytes
0. Websites you may like/[GigaCourse.Com].url 49 bytes
11 PART C_ SEGMENTATION/[GigaCourse.Com].url 49 bytes
15 Section 11 - Random Forest/[GigaCourse.Com].url 49 bytes
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[GigaCourse.Com] ZeroToMastery - Python for Business Data Analytics & Intelligence

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