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Название [FreeCoursesOnline.Me] ZeroToMastery - Python for Business Data Analytics & Intelligence
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Accuracy KPIs (Key Performance Indicators).mp4 8.58Мб
Additive vs. Multiplicative Seasonality.mp4 6.07Мб
AIC and BIC.mp4 5.84Мб
Arithmetic Mean.mp4 6.94Мб
Assumptions.mp4 5.76Мб
Basic Statistics - Game Plan.mp4 2.66Мб
CASE STUDY - Bitcoin Pricing (Briefing).mp4 6.16Мб
CASE STUDY - Catholic Schools & Standardized Tests (Briefing).mp4 3.48Мб
CASE STUDY - Credit Cards #1 (Briefing).mp4 2.64Мб
CASE STUDY - Credit Cards #2 (Briefing).mp4 1.18Мб
CASE STUDY - Diamonds (Briefing).mp4 2.78Мб
CASE STUDY - Moneyball.mp4 7.55Мб
CASE STUDY - Moneyball (Briefing).mp4 1.41Мб
CASE STUDY - Online Shopping (Briefing).mp4 1.56Мб
CASE STUDY - Professors' Salary (Briefing).mp4 1.54Мб
CASE STUDY - Remote Work Predictions (Briefing).mp4 2.29Мб
CASE STUDY - Spam Emails (Briefing).mp4 2.62Мб
CASE STUDY - Wikipedia (Briefing).mp4 2.42Мб
CASE STUDY - Wine Quality (Briefing).mp4 5.37Мб
Causal Impact Step-by-Step.mp4 3.40Мб
CHALLENGE - Introduction.mp4 34.83Мб
CHALLENGE - Introduction.mp4 10.93Мб
CHALLENGE - Introduction.mp4 36.85Мб
CHALLENGE - Introduction.mp4 34.09Мб
CHALLENGE - Introduction.mp4 20.00Мб
CHALLENGE - Introduction.mp4 18.60Мб
CHALLENGE - Introduction.mp4 26.05Мб
CHALLENGE - Introduction.mp4 23.75Мб
CHALLENGE - Solutions.mp4 112.19Мб
CHALLENGE - Solutions.mp4 38.39Мб
CHALLENGE - Solutions.mp4 216.41Мб
CHALLENGE - Solutions.mp4 65.06Мб
CHALLENGE - Solutions.mp4 66.38Мб
CHALLENGE - Solutions.mp4 66.55Мб
CHALLENGE - Solutions (Part 1).mp4 54.48Мб
CHALLENGE - Solutions (Part 1).mp4 56.68Мб
CHALLENGE - Solutions (Part 2).mp4 48.99Мб
CHALLENGE - Solutions (Part 2).mp4 92.60Мб
CHALLENGE - Solutions (Part 3).mp4 63.73Мб
Chi-square test.mp4 5.94Мб
Clustering.mp4 4.65Мб
Common Support Region.mp4 14.25Мб
Confidence Interval.mp4 36.08Мб
Confusion Matrix.mp4 15.22Мб
Correlation.mp4 15.94Мб
Correlation Recap and Stationarity.mp4 8.14Мб
Cross-validation.mp4 2.72Мб
Difference-in-Differences Framework.mp4 4.45Мб
Dummy Variable Trap.mp4 7.41Мб
Dynamic Holidays.mp4 4.92Мб
Ensemble Learning and Random Forest.mp4 4.35Мб
Exercise_ Meet Your Classmates and Instructor.pdf 250.31Кб
EXERCISE - Python - Chi-square.mp4 17.53Мб
EXERCISE - Python - Confidence Interval.mp4 13.96Мб
EXERCISE - Python - Correlation.mp4 15.01Мб
EXERCISE - Python - Linear Regression.mp4 25.29Мб
EXERCISE - Python - Mean.mp4 11.65Мб
EXERCISE - Python - Median.mp4 12.69Мб
EXERCISE - Python - Mode.mp4 11.90Мб
EXERCISE - Python - Normal Distribution.mp4 26.98Мб
EXERCISE - Python - Shapiro-Wilks.mp4 10.18Мб
EXERCISE - Python - Standard Deviation.mp4 4.18Мб
EXERCISE - Python - Standard Error.mp4 10.56Мб
EXERCISE - Python - T-test.mp4 22.85Мб
Facebook Prophet.mp4 7.52Мб
Facebook Prophet - Game Plan.mp4 3.24Мб
Facebook Prophet Model.mp4 35.81Мб
Facebook Prophet Parameters.mp4 5.24Мб
Forecasting at Uber.mp4 9.04Мб
Gaussian Mixture - Game Plan.mp4 2.76Мб
Gaussian Mixture Model.mp4 7.99Мб
Google Causal Impact - Game Plan.mp4 3.03Мб
How Decision Trees Work.mp4 9.07Мб
How to Read Logistic Regression Coefficients.mp4 6.75Мб
Intermediary Statistics - Game Plan.mp4 1.94Мб
Interpretation of Results.mp4 11.74Мб
Introduction.mp4 25.10Мб
Linear Regression.mp4 10.07Мб
Linear Regression - Game Plan.mp4 2.98Мб
Linear Regression Output.mp4 34.26Мб
Logistic Regression.mp4 8.42Мб
Logistic Regression - Game Plan.mp4 2.88Мб
Matching.mp4 8.36Мб
Matching - Game Plan.mp4 5.48Мб
Median and Mode.mp4 4.66Мб
Multilinear Regression - Game Plan.mp4 3.32Мб
My Experience with Matching.mp4 5.40Мб
My Experience with Segmentation.mp4 7.22Мб
Normal Distribution.mp4 7.16Мб
Outliers.mp4 4.71Мб
Parameters to tune.mp4 3.25Мб
Parameter Tuning.mp4 5.94Мб
Powerposing and p-hacking.mp4 10.56Мб
P-Value.mp4 14.48Мб
Python - Accuracy Assessment.mp4 19.53Мб
Python - Accuracy Assessment.mp4 21.69Мб
Python - Adding Constant.mp4 8.62Мб
Python - Adding Constant.mp4 4.62Мб
Python - Applying RFM Function.mp4 8.58Мб
Python - Bitcoin Price loading.mp4 19.14Мб
Python - Black Friday.mp4 14.52Мб
Python - Categorical Variables.mp4 18.37Мб
Python - Chi-square Loop.mp4 23.23Мб
Python - Chi-square test.mp4 47.07Мб
Python - Chi-square Test.mp4 38.76Мб
Python - Classification Report.mp4 15.91Мб
Python - Classification Report and F1 score.mp4 24.94Мб
Python - Cleaning and Preparing Dataset.mp4 28.84Мб
Python - Cluster Prediction and Assignment.mp4 12.85Мб
Python - Combining Events and Preparing Dataframe.mp4 15.02Мб
Python - Common Support Region Visualization.mp4 9.09Мб
Python - Comparing Means.mp4 20.01Мб
Python - Confidence Interval.mp4 40.47Мб
Python - Confusion Matrix.mp4 27.38Мб
Python - Correlation.mp4 36.21Мб
Python - Correlation.mp4 17.87Мб
Python - Correlation Matrix.mp4 11.96Мб
Python - Correlation Matrix.mp4 11.81Мб
Python - Creating Dummy Variables.mp4 9.30Мб
Python - Creating Sales Variable.mp4 14.27Мб
Python - Cross-validation.mp4 48.74Мб
Python - Customer Level Aggregation.mp4 21.55Мб
Python - Date Variable.mp4 11.49Мб
Python - Defining Dates.mp4 8.59Мб
Python - Directory, Libraries and Data.mp4 39.89Мб
Python - Directory and Data.mp4 14.82Мб
Python - Directory and Libraries.mp4 16.73Мб
Python - Directory and Libraries.mp4 9.73Мб
Python - Directory and Libraries.mp4 9.84Мб
Python - Directory and Libraries.mp4 13.47Мб
Python - Dummy Variable.mp4 14.62Мб
Python - Easter Holidays.mp4 22.88Мб
Python - Education Variables.mp4 44.17Мб
Python - Feature Importance.mp4 19.51Мб
Python for Business Analytics & Intelligence.mp4 169.81Мб
Python - Forecasting.mp4 21.30Мб
Python - For Loop.mp4 17.63Мб
Python - Function to Read Coefficients.mp4 36.33Мб
Python - Future Dataframe.mp4 32.45Мб
Python - Gaussian Mixture Model.mp4 9.13Мб
Python - Google Causal Impact.mp4 38.33Мб
Python - Google Causal Impact Setup.mp4 8.96Мб
Python - Histogram and Outlier Removal.mp4 44.25Мб
Python - Impact Results.mp4 34.21Мб
Python - Installing and Importing Libraries.mp4 11.88Мб
Python - Interpretation.mp4 103.98Мб
Python - Isolate X and Y.mp4 15.13Мб
Python - Isolate X and Y.mp4 10.80Мб
Python - Isolate X and Y.mp4 14.26Мб
Python - Linear Regression Model and Summary.mp4 16.58Мб
Python - Load Control Groups.mp4 20.57Мб
Python - Load Data.mp4 20.42Мб
Python - Loading Data.mp4 31.34Мб
Python - Loading Data.mp4 21.21Мб
Python - Loading Data.mp4 18.49Мб
Python - Loading Data.mp4 11.22Мб
Python - Logistic Regression.mp4 15.21Мб
Python - Logistic Regression and Debugging.mp4 92.74Мб
Python - Manual Accuracy Assessment.mp4 22.74Мб
Python - Matching.mp4 43.52Мб
Python - Mean.mp4 38.89Мб
Python - Median.mp4 17.42Мб
Python - Mode.mp4 15.57Мб
Python - Model Predictions.mp4 5.86Мб
Python - Monetary Variable.mp4 5.21Мб
Python - Multilinear Regression.mp4 21.37Мб
Python - Normal Distribution Visualization.mp4 36.85Мб
Python - Optimal Number of Clusters.mp4 29.28Мб
Python - Other Variables.mp4 23.80Мб
Python - Outcome Visualization.mp4 9.06Мб
Python - Parameter Grid.mp4 15.70Мб
Python - Parameter Grid.mp4 22.66Мб
Python - Parameter Tuning.mp4 43.75Мб
Python - Parameter Tuning.mp4 47.10Мб
Python - Plotting Continuous Variables.mp4 22.03Мб
Python - Plotting Regression.mp4 21.59Мб
Python - Predictions.mp4 4.87Мб
Python - Predictions.mp4 15.52Мб
Python - Prepare X and Y.mp4 8.81Мб
Python - Preparing DataFrame.mp4 45.96Мб
Python - Preparing for Common Support Region.mp4 34.98Мб
Python - Preparing for Correlation Matrix.mp4 15.63Мб
Python - Preparing Script and Loading Data.mp4 20.29Мб
Python - Preparing Script and Loading Data.mp4 22.21Мб
Python - Preparing Script and Loading Data.mp4 26.78Мб
Python - Preparing Script and Loading Data.mp4 25.20Мб
Python - Quartiles.mp4 23.03Мб
Python - Race Variable Transformation.mp4 86.15Мб
Python - Random Forest Model.mp4 11.73Мб
Python - Regressor Coefficients.mp4 7.76Мб
Python - Renaming Variables.mp4 9.13Мб
Python - Results Summary.mp4 14.93Мб
Python - RFM Function.mp4 11.38Мб
Python - RFM Score.mp4 6.56Мб
Python - Robustness Check - Removing 1 confounder.mp4 29.45Мб
Python - Robustness Check - Repeated experiments.mp4 57.38Мб
Python - Shapiro-Wilks Test.mp4 41.83Мб
Python - Standard Deviation.mp4 18.59Мб
Python - Standard Error.mp4 25.89Мб
Python - Stationarity.mp4 46.41Мб
Python - Summary Statistics.mp4 20.91Мб
Python - Summary Statistics.mp4 9.55Мб
Python - Summary Statistics.mp4 25.54Мб
Python - Tidying up Dataframe.mp4 12.12Мб
Python - Train and Test Split.mp4 8.26Мб
Python - Training and Test Set.mp4 27.44Мб
Python - Training and Test Set.mp4 10.91Мб
Python - Training and Test Set.mp4 23.66Мб
Python - Transform Character variables.mp4 14.19Мб
Python - Transforming Date Variable.mp4 17.52Мб
Python - Transforming Dependent Variable.mp4 18.08Мб
Python - Transform Object into Numerical Variables.mp4 9.93Мб
Python - T-test.mp4 56.79Мб
Python - T-Test.mp4 26.22Мб
Python - T-Test Loop.mp4 23.84Мб
Python - Visualization.mp4 30.65Мб
Random Forest - Game Plan.mp4 2.95Мб
Random Forest Quirks.mp4 3.77Мб
RFM - Game Plan.mp4 2.33Мб
RFM Model.mp4 8.05Мб
Robustness Checks.mp4 4.64Мб
Setting up the Course Material.mp4 34.51Мб
Shapiro-Wilks Test.mp4 4.58Мб
Standard Deviation.mp4 4.25Мб
Standard Error of the Mean.mp4 5.87Мб
Structural Time Series.mp4 6.85Мб
Thank You!.mp4 88.98Мб
The Concept of Multilinear Regression.mp4 2.90Мб
The Curse of Dimensionality.mp4 5.28Мб
The Modern Day Business Analyst.mp4 10.96Мб
Time Series Data.mp4 2.91Мб
Training and Test Set.mp4 4.64Мб
Training and Test Set.mp4 1.71Мб
T-test.mp4 5.30Мб
Unconfoundedness.mp4 5.21Мб
Under and Over Fitting.mp4 2.80Мб
Value Based Segmentation.mp4 4.77Мб
What are Econometrics & Causal Inference and why are they important.pdf 190.71Кб
What are Predictive Analytics and why are they important.pdf 186.10Кб
What are Statistics and why are they important.pdf 169.60Кб
What is Segmentation and why is it important.pdf 208.47Кб
Why Econometrics and Causal Inference.mp4 11.16Мб
Z-Score.mp4 5.80Мб
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