Udemy - Complete Data Science Training with Python for Data Analysis [Desire Course]
Torrent Info
| Category | Other |
| Added | Friday 2nd June 2023 08:58:50 AM (3 years ago) |
| Size | 2.3 GB |
| Peers | 1 Peers (0 Seeders and 1 leechers) update |
| Downloaded | 650 times |
| Uploader | CourseClub Thank You (0) Report Torrent 00/0 |
| Comments | None |
| Uploader Comments | None |
| Tags | English |
| Seeders | 0 |
| Leechers | 1 |
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| Filename | Size |
|---|---|
| 1. Introduction to the Data Science in Python Bootcamp/1. What is Data Science.mp4 | 17.4 MB |
| 1. Introduction to the Data Science in Python Bootcamp/1. What is Data Science.vtt | 4.0 KB |
| 1. Introduction to the Data Science in Python Bootcamp/2. Introduction to the Course Instructor.m4v | 55.6 MB |
| 1. Introduction to the Data Science in Python Bootcamp/2. Introduction to the Course Instructor.vtt | 13.5 KB |
| 1. Introduction to the Data Science in Python Bootcamp/3. Data For the Course.html | 98 bytes |
| 1. Introduction to the Data Science in Python Bootcamp/3.1 scriptsLecture.zip.zip | 308.0 MB |
| 1. Introduction to the Data Science in Python Bootcamp/4. Introduction to the Python Data Science Tool.mp4 | 25.0 MB |
| 1. Introduction to the Data Science in Python Bootcamp/4. Introduction to the Python Data Science Tool.vtt | 10.1 KB |
| 1. Introduction to the Data Science in Python Bootcamp/5. For Mac Users.mp4 | 10.2 MB |
| 1. Introduction to the Data Science in Python Bootcamp/5. For Mac Users.vtt | 3.9 KB |
| 1. Introduction to the Data Science in Python Bootcamp/6. Introduction to the Python Data Science Environment.mp4 | 40.3 MB |
| 1. Introduction to the Data Science in Python Bootcamp/6. Introduction to the Python Data Science Environment.vtt | 17.2 KB |
| 1. Introduction to the Data Science in Python Bootcamp/7. Some Miscellaneous IPython Usage Facts.mp4 | 12.0 MB |
| 1. Introduction to the Data Science in Python Bootcamp/7. Some Miscellaneous IPython Usage Facts.vtt | 4.5 KB |
| 1. Introduction to the Data Science in Python Bootcamp/8. Online iPython Interpreter.mp4 | 7.7 MB |
| 1. Introduction to the Data Science in Python Bootcamp/8. Online iPython Interpreter.vtt | 3.4 KB |
| 1. Introduction to the Data Science in Python Bootcamp/9. Conclusion to Section 1.mp4 | 6.5 MB |
| 1. Introduction to the Data Science in Python Bootcamp/9. Conclusion to Section 1.vtt | 3.1 KB |
| 10. Unsupervised Learning in Python/1. Unsupervised Classification- Some Basic Ideas.mp4 | 6.2 MB |
| 10. Unsupervised Learning in Python/1. Unsupervised Classification- Some Basic Ideas.vtt | 1.8 KB |
| 10. Unsupervised Learning in Python/10. Principal Component Analysis (PCA)-Practical Implementation.mp4 | 9.1 MB |
| 10. Unsupervised Learning in Python/10. Principal Component Analysis (PCA)-Practical Implementation.vtt | 4.2 KB |
| 10. Unsupervised Learning in Python/11. Conclusions to Section 10.mp4 | 5.5 MB |
| 10. Unsupervised Learning in Python/11. Conclusions to Section 10.vtt | 2.5 KB |
| 10. Unsupervised Learning in Python/2. KMeans-theory.mp4 | 5.1 MB |
| 10. Unsupervised Learning in Python/2. KMeans-theory.vtt | 2.5 KB |
| 10. Unsupervised Learning in Python/3. KMeans-implementation on the iris data.mp4 | 19.5 MB |
| 10. Unsupervised Learning in Python/3. KMeans-implementation on the iris data.vtt | 7.6 KB |
| 10. Unsupervised Learning in Python/4. Quantifying KMeans Clustering Performance.mp4 | 9.6 MB |
| 10. Unsupervised Learning in Python/4. Quantifying KMeans Clustering Performance.vtt | 4.4 KB |
| 10. Unsupervised Learning in Python/5. KMeans Clustering with Real Data.mp4 | 12.1 MB |
| 10. Unsupervised Learning in Python/5. KMeans Clustering with Real Data.vtt | 4.5 KB |
| 10. Unsupervised Learning in Python/6. How Do We Select the Number of Clusters.mp4 | 19.0 MB |
| 10. Unsupervised Learning in Python/6. How Do We Select the Number of Clusters.vtt | 4.2 KB |
| 10. Unsupervised Learning in Python/7. Hierarchical Clustering-theory.mp4 | 10.2 MB |
| 10. Unsupervised Learning in Python/7. Hierarchical Clustering-theory.vtt | 5.0 KB |
| 10. Unsupervised Learning in Python/8. Hierarchical Clustering-practical.mp4 | 29.4 MB |
| 10. Unsupervised Learning in Python/8. Hierarchical Clustering-practical.vtt | 9.5 KB |
| 10. Unsupervised Learning in Python/9. Principal Component Analysis (PCA)-Theory.mp4 | 5.9 MB |
| 10. Unsupervised Learning in Python/9. Principal Component Analysis (PCA)-Theory.vtt | 3.0 KB |
| 11. Supervised Learning/1. What is This Section About.mp4 | 24.9 MB |
| 11. Supervised Learning/1. What is This Section About.vtt | 11.5 KB |
| 11. Supervised Learning/10. knn-Classification.mp4 | 18.2 MB |
| 11. Supervised Learning/10. knn-Classification.vtt | 8.0 KB |
| 11. Supervised Learning/11. knn-Regression.mp4 | 8.4 MB |
| 11. Supervised Learning/11. knn-Regression.vtt | 4.0 KB |
| 11. Supervised Learning/12. Gradient Boosting-classification.mp4 | 15.0 MB |
| 11. Supervised Learning/12. Gradient Boosting-classification.vtt | 6.0 KB |
| 11. Supervised Learning/13. Gradient Boosting-regression.mp4 | 10.9 MB |
| 11. Supervised Learning/13. Gradient Boosting-regression.vtt | 3.7 KB |
| 11. Supervised Learning/14. Voting Classifier.mp4 | 9.5 MB |
| 11. Supervised Learning/14. Voting Classifier.vtt | 3.8 KB |
| 11. Supervised Learning/15. Conclusions to Section 11.mp4 | 7.2 MB |
| 11. Supervised Learning/15. Conclusions to Section 11.vtt | 2.9 KB |
| 11. Supervised Learning/16. Section 11 Quiz.html | 163 bytes |
| 11. Supervised Learning/2. Data Preparation for Supervised Learning.mp4 | 28.3 MB |
| 11. Supervised Learning/2. Data Preparation for Supervised Learning.vtt | 10.1 KB |
| 11. Supervised Learning/3. Pointers on Evaluating the Accuracy of Classification and Regression Modelling.mp4 | 24.0 MB |
| 11. Supervised Learning/3. Pointers on Evaluating the Accuracy of Classification and Regression Modelling.vtt | 10.5 KB |
| 11. Supervised Learning/4. Using Logistic Regression as a Classification Model.mp4 | 20.6 MB |
| 11. Supervised Learning/4. Using Logistic Regression as a Classification Model.vtt | 8.7 KB |
| 11. Supervised Learning/5. RF-Classification.mp4 | 28.5 MB |
| 11. Supervised Learning/5. RF-Classification.vtt | 12.2 KB |
| 11. Supervised Learning/6. RF-Regression.mp4 | 23.6 MB |
| 11. Supervised Learning/6. RF-Regression.vtt | 9.7 KB |
| 11. Supervised Learning/7. SVM- Linear Classification.mp4 | 7.4 MB |
| 11. Supervised Learning/7. SVM- Linear Classification.vtt | 3.2 KB |
| 11. Supervised Learning/8. SVM- Non Linear Classification.mp4 | 5.1 MB |
| 11. Supervised Learning/8. SVM- Non Linear Classification.vtt | 2.3 KB |
| 11. Supervised Learning/9. Support Vector Regression.mp4 | 10.2 MB |
| 11. Supervised Learning/9. Support Vector Regression.vtt | 4.3 KB |
| 12. Artificial Neural Networks (ANN) and Deep Learning (DL)/1. Theory Behind ANN and DNN.mp4 | 22.6 MB |
| 12. Artificial Neural Networks (ANN) and Deep Learning (DL)/1. Theory Behind ANN and DNN.vtt | 9.9 KB |
| 12. Artificial Neural Networks (ANN) and Deep Learning (DL)/10. Specify the Activation Function.mp4 | 6.2 MB |
| 12. Artificial Neural Networks (ANN) and Deep Learning (DL)/10. Specify the Activation Function.vtt | 2.2 KB |
| 12. Artificial Neural Networks (ANN) and Deep Learning (DL)/11. H2O Deep Learning For Predictions.mp4 | 12.0 MB |
| 12. Artificial Neural Networks (ANN) and Deep Learning (DL)/11. H2O Deep Learning For Predictions.vtt | 5.2 KB |
| 12. Artificial Neural Networks (ANN) and Deep Learning (DL)/12. Conclusions to Section 12.mp4 | 5.2 MB |
| 12. Artificial Neural Networks (ANN) and Deep Learning (DL)/12. Conclusions to Section 12.vtt | 2.1 KB |
| 12. Artificial Neural Networks (ANN) and Deep Learning (DL)/13. Section 12 Quiz.html | 163 bytes |
| 12. Artificial Neural Networks (ANN) and Deep Learning (DL)/2. Perceptrons for Binary Classification.mp4 | 10.0 MB |
| 12. Artificial Neural Networks (ANN) and Deep Learning (DL)/2. Perceptrons for Binary Classification.vtt | 4.7 KB |
| 12. Artificial Neural Networks (ANN) and Deep Learning (DL)/3. Getting Started with ANN-binary classification.mp4 | 8.5 MB |
| 12. Artificial Neural Networks (ANN) and Deep Learning (DL)/3. Getting Started with ANN-binary classification.vtt | 3.5 KB |
| 12. Artificial Neural Networks (ANN) and Deep Learning (DL)/4. Multi-label classification with MLP.mp4 | 13.5 MB |
| 12. Artificial Neural Networks (ANN) and Deep Learning (DL)/4. Multi-label classification with MLP.vtt | 4.8 KB |
| 12. Artificial Neural Networks (ANN) and Deep Learning (DL)/5. Regression with MLP.mp4 | 9.0 MB |
| 12. Artificial Neural Networks (ANN) and Deep Learning (DL)/5. Regression with MLP.vtt | 3.5 KB |
| 12. Artificial Neural Networks (ANN) and Deep Learning (DL)/6. MLP with PCA on a Large Dataset.mp4 | 19.2 MB |
| 12. Artificial Neural Networks (ANN) and Deep Learning (DL)/6. MLP with PCA on a Large Dataset.vtt | 7.6 KB |
| 12. Artificial Neural Networks (ANN) and Deep Learning (DL)/7. Start With Deep Neural Network (DNN).html | 229 bytes |
| 12. Artificial Neural Networks (ANN) and Deep Learning (DL)/8. Start with H20.mp4 | 12.1 MB |
| 12. Artificial Neural Networks (ANN) and Deep Learning (DL)/8. Start with H20.vtt | 4.3 KB |
| 12. Artificial Neural Networks (ANN) and Deep Learning (DL)/9. Default H2O Deep Learning Algorithm.mp4 | 8.2 MB |
| 12. Artificial Neural Networks (ANN) and Deep Learning (DL)/9. Default H2O Deep Learning Algorithm.vtt | 3.4 KB |
| 13. Miscellaneous Lectures Information/1. Data For This Section.html | 137 bytes |
| 13. Miscellaneous Lectures Information/2. Read in Data from Online CSV.mp4 | 6.7 MB |
| 13. Miscellaneous Lectures Information/2. Read in Data from Online CSV.vtt | 3.9 KB |
| 13. Miscellaneous Lectures Information/3. Read Data from a Database.mp4 | 12.3 MB |
| 13. Miscellaneous Lectures Information/3. Read Data from a Database.vtt | 7.8 KB |
| 13. Miscellaneous Lectures Information/4. Naive Bayes Classification.m4v | 28.2 MB |
| 13. Miscellaneous Lectures Information/4. Naive Bayes Classification.vtt | 6.8 KB |
| 13. Miscellaneous Lectures Information/5. Data Imputation.m4v | 44.8 MB |
| 13. Miscellaneous Lectures Information/5. Data Imputation.vtt | 9.0 KB |
| 2. Introduction to Python Pre-Requisites for Data Science/1. Rationale Behind This Section.html | 429 bytes |
| 2. Introduction to Python Pre-Requisites for Data Science/2. Different Types of Data Used in Statistical ML Analysis.mp4 | 9.4 MB |
| 2. Introduction to Python Pre-Requisites for Data Science/2. Different Types of Data Used in Statistical ML Analysis.vtt | 3.7 KB |
| 2. Introduction to Python Pre-Requisites for Data Science/3. Different Types of Data Used Programatically.mp4 | 7.7 MB |
| 2. Introduction to Python Pre-Requisites for Data Science/3. Different Types of Data Used Programatically.vtt | 3.0 KB |
| 2. Introduction to Python Pre-Requisites for Data Science/4. Python Data Science Packages To Be Used.mp4 | 7.9 MB |
| 2. Introduction to Python Pre-Requisites for Data Science/4. Python Data Science Packages To Be Used.vtt | 3.8 KB |
| 2. Introduction to Python Pre-Requisites for Data Science/5. Conclusions to Section 2.mp4 | 4.9 MB |
| 2. Introduction to Python Pre-Requisites for Data Science/5. Conclusions to Section 2.vtt | 2.4 KB |
| 3. Introduction to Numpy/1. Numpy Introduction.mp4 | 8.7 MB |
| 3. Introduction to Numpy/1. Numpy Introduction.vtt | 3.8 KB |
| 3. Introduction to Numpy/10. Conclusion to Section 3.mp4 | 6.2 MB |
| 3. Introduction to Numpy/10. Conclusion to Section 3.vtt | 2.5 KB |
| 3. Introduction to Numpy/11. Section 3 Quiz.html | 163 bytes |
| 3. Introduction to Numpy/2. Create Numpy Arrays.mp4 | 20.9 MB |
| 3. Introduction to Numpy/2. Create Numpy Arrays.vtt | 5.9 KB |
| 3. Introduction to Numpy/3. Numpy Operations.mp4 | 36.7 MB |
| 3. Introduction to Numpy/3. Numpy Operations.vtt | 15.0 KB |
| 3. Introduction to Numpy/4. Matrix Arithmetic and Linear Systems.mp4 | 15.8 MB |
| 3. Introduction to Numpy/4. Matrix Arithmetic and Linear Systems.vtt | 6.5 KB |
| 3. Introduction to Numpy/5. Numpy for Basic Vector Arithmetric.mp4 | 11.8 MB |
| 3. Introduction to Numpy/5. Numpy for Basic Vector Arithmetric.vtt | 3.8 KB |
| 3. Introduction to Numpy/6. Numpy for Basic Matrix Arithmetic.mp4 | 13.9 MB |
| 3. Introduction to Numpy/6. Numpy for Basic Matrix Arithmetic.vtt | 5.2 KB |
| 3. Introduction to Numpy/7. Broadcasting with Numpy.mp4 | 9.0 MB |
| 3. Introduction to Numpy/7. Broadcasting with Numpy.vtt | 3.8 KB |
| 3. Introduction to Numpy/8. Solve Equations with Numpy.mp4 | 11.4 MB |
| 3. Introduction to Numpy/8. Solve Equations with Numpy.vtt | 4.2 KB |
| 3. Introduction to Numpy/9. Numpy for Statistical Operation.mp4 | 14.9 MB |
| 3. Introduction to Numpy/9. Numpy for Statistical Operation.vtt | 6.7 KB |
| 4. Introduction to Pandas/1. Data Structures in Python.mp4 | 25.1 MB |
| 4. Introduction to Pandas/1. Data Structures in Python.vtt | 10.0 KB |
| 4. Introduction to Pandas/2. Read in Data.html | 246 bytes |
| 4. Introduction to Pandas/3. Read in CSV Data Using Pandas.mp4 | 15.3 MB |
| 4. Introduction to Pandas/3. Read in CSV Data Using Pandas.vtt | 5.8 KB |
| 4. Introduction to Pandas/4. Read in Excel Data Using Pandas.mp4 | 11.4 MB |
| 4. Introduction to Pandas/4. Read in Excel Data Using Pandas.vtt | 3.8 KB |
| 4. Introduction to Pandas/5. Reading in JSON Data.mp4 | 18.7 MB |
| 4. Introduction to Pandas/5. Reading in JSON Data.vtt | 3.1 KB |
| 4. Introduction to Pandas/6. Read in HTML Data.mp4 | 51.3 MB |
| 4. Introduction to Pandas/6. Read in HTML Data.vtt | 11.1 KB |
| 4. Introduction to Pandas/7. Conclusion to Section 4.mp4 | 5.4 MB |
| 4. Introduction to Pandas/7. Conclusion to Section 4.vtt | 2.2 KB |
| 5. Data Pre-ProcessingWrangling/1. Rationale behind this section.mp4 | 8.1 MB |
| 5. Data Pre-ProcessingWrangling/1. Rationale behind this section.vtt | 4.6 KB |
| 5. Data Pre-ProcessingWrangling/10. Rank and Sort Data.mp4 | 24.3 MB |
| 5. Data Pre-ProcessingWrangling/10. Rank and Sort Data.vtt | 7.3 KB |
| 5. Data Pre-ProcessingWrangling/11. Concatenate.mp4 | 23.7 MB |
| 5. Data Pre-ProcessingWrangling/11. Concatenate.vtt | 8.0 KB |
| 5. Data Pre-ProcessingWrangling/12. Merging and Joining Data Frames.mp4 | 28.8 MB |
| 5. Data Pre-ProcessingWrangling/12. Merging and Joining Data Frames.vtt | 10.7 KB |
| 5. Data Pre-ProcessingWrangling/13. Conclusion to Section 5.mp4 | 5.4 MB |
| 5. Data Pre-ProcessingWrangling/13. Conclusion to Section 5.vtt | 2.2 KB |
| 5. Data Pre-ProcessingWrangling/2. Removing NAsNo Values From Our Data.mp4 | 19.3 MB |
| 5. Data Pre-ProcessingWrangling/2. Removing NAsNo Values From Our Data.vtt | 6.4 KB |
| 5. Data Pre-ProcessingWrangling/3. Basic Data Handling Starting with Conditional Data Selection.mp4 | 14.9 MB |
| 5. Data Pre-ProcessingWrangling/3. Basic Data Handling Starting with Conditional Data Selection.vtt | 4.1 KB |
| 5. Data Pre-ProcessingWrangling/4. Drop ColumnRow.mp4 | 15.7 MB |
| 5. Data Pre-ProcessingWrangling/4. Drop ColumnRow.vtt | 4.4 KB |
| 5. Data Pre-ProcessingWrangling/5. Subset and Index Data.mp4 | 28.0 MB |
| 5. Data Pre-ProcessingWrangling/5. Subset and Index Data.vtt | 7.8 KB |
| 5. Data Pre-ProcessingWrangling/6. Basic Data Grouping Based on Qualitative Attributes.mp4 | 26.6 MB |
| 5. Data Pre-ProcessingWrangling/6. Basic Data Grouping Based on Qualitative Attributes.vtt | 8.3 KB |
| 5. Data Pre-ProcessingWrangling/7. Crosstabulation.mp4 | 10.9 MB |
| 5. Data Pre-ProcessingWrangling/7. Crosstabulation.vtt | 3.9 KB |
| 5. Data Pre-ProcessingWrangling/8. Reshaping.mp4 | 24.3 MB |
| 5. Data Pre-ProcessingWrangling/8. Reshaping.vtt | 9.6 KB |
| 5. Data Pre-ProcessingWrangling/9. Pivoting.mp4 | 24.0 MB |
| 5. Data Pre-ProcessingWrangling/9. Pivoting.vtt | 8.4 KB |
| 6. Introduction to Data Visualizations/1. What is Data Visualization.mp4 | 20.7 MB |
| 6. Introduction to Data Visualizations/1. What is Data Visualization.vtt | 9.8 KB |
| 6. Introduction to Data Visualizations/2. Some Theoretical Principles Behind Data Visualization.mp4 | 16.6 MB |
| 6. Introduction to Data Visualizations/2. Some Theoretical Principles Behind Data Visualization.vtt | 7.1 KB |
| 6. Introduction to Data Visualizations/3. Histograms-Visualize the Distribution of Continuous Numerical Variables.mp4 | 29.4 MB |
| 6. Introduction to Data Visualizations/3. Histograms-Visualize the Distribution of Continuous Numerical Variables.vtt | 11.9 KB |
| 6. Introduction to Data Visualizations/4. Boxplots-Visualize the Distribution of Continuous Numerical Variables.mp4 | 13.4 MB |
| 6. Introduction to Data Visualizations/4. Boxplots-Visualize the Distribution of Continuous Numerical Variables.vtt | 5.5 KB |
| 6. Introduction to Data Visualizations/5. Scatter Plot-Visualize the Relationship Between 2 Continuous Variables.mp4 | 29.8 MB |
| 6. Introduction to Data Visualizations/5. Scatter Plot-Visualize the Relationship Between 2 Continuous Variables.vtt | 12.2 KB |
| 6. Introduction to Data Visualizations/6. Barplot.mp4 | 53.8 MB |
| 6. Introduction to Data Visualizations/6. Barplot.vtt | 22.3 KB |
| 6. Introduction to Data Visualizations/7. Pie Chart.mp4 | 12.8 MB |
| 6. Introduction to Data Visualizations/7. Pie Chart.vtt | 5.6 KB |
| 6. Introduction to Data Visualizations/8. Line Chart.mp4 | 37.1 MB |
| 6. Introduction to Data Visualizations/8. Line Chart.vtt | 12.1 KB |
| 6. Introduction to Data Visualizations/9. Conclusions to Section 6.mp4 | 5.8 MB |
| 6. Introduction to Data Visualizations/9. Conclusions to Section 6.vtt | 2.2 KB |
| 7. Statistical Data Analysis-Basic/1. What is Statistical Data Analysis.mp4 | 25.3 MB |
| 7. Statistical Data Analysis-Basic/1. What is Statistical Data Analysis.vtt | 9.6 KB |
| 7. Statistical Data Analysis-Basic/10. Standard Normal Distribution and Z-scores.mp4 | 9.8 MB |
| 7. Statistical Data Analysis-Basic/10. Standard Normal Distribution and Z-scores.vtt | 4.2 KB |
| 7. Statistical Data Analysis-Basic/11. Confidence Interval-Theory.mp4 | 13.7 MB |
| 7. Statistical Data Analysis-Basic/11. Confidence Interval-Theory.vtt | 5.9 KB |
| 7. Statistical Data Analysis-Basic/12. Confidence Interval-Calculation.mp4 | 13.6 MB |
| 7. Statistical Data Analysis-Basic/12. Confidence Interval-Calculation.vtt | 5.8 KB |
| 7. Statistical Data Analysis-Basic/13. Conclusions to Section 7.mp4 | 3.8 MB |
| 7. Statistical Data Analysis-Basic/13. Conclusions to Section 7.vtt | 1.6 KB |
| 7. Statistical Data Analysis-Basic/2. Some Pointers on Collecting Data for Statistical Studies.mp4 | 20.9 MB |
| 7. Statistical Data Analysis-Basic/2. Some Pointers on Collecting Data for Statistical Studies.vtt | 9.1 KB |
| 7. Statistical Data Analysis-Basic/3. Some Pointers on Exploring Quantitative Data.html | 517 bytes |
| 7. Statistical Data Analysis-Basic/4. Explore the Quantitative Data Descriptive Statistics.mp4 | 17.4 MB |
| 7. Statistical Data Analysis-Basic/4. Explore the Quantitative Data Descriptive Statistics.vtt | 7.6 KB |
| 7. Statistical Data Analysis-Basic/5. Grouping Summarizing Data by Categories.mp4 | 33.1 MB |
| 7. Statistical Data Analysis-Basic/5. Grouping Summarizing Data by Categories.vtt | 10.3 KB |
| 7. Statistical Data Analysis-Basic/6. Visualize Descriptive Statistics-Boxplots.mp4 | 11.5 MB |
| 7. Statistical Data Analysis-Basic/6. Visualize Descriptive Statistics-Boxplots.vtt | 5.2 KB |
| 7. Statistical Data Analysis-Basic/7. Common Terms Relating to Descriptive Statistics.mp4 | 11.6 MB |
| 7. Statistical Data Analysis-Basic/7. Common Terms Relating to Descriptive Statistics.vtt | 5.5 KB |
| 7. Statistical Data Analysis-Basic/8. Data Distribution- Normal Distribution.mp4 | 9.6 MB |
| 7. Statistical Data Analysis-Basic/8. Data Distribution- Normal Distribution.vtt | 3.9 KB |
| 7. Statistical Data Analysis-Basic/9. Check for Normal Distribution.mp4 | 16.5 MB |
| 7. Statistical Data Analysis-Basic/9. Check for Normal Distribution.vtt | 5.6 KB |
| 8. Statistical Inference Relationship Between Variables/1. What is Hypothesis Testing.mp4 | 13.4 MB |
| 8. Statistical Inference Relationship Between Variables/1. What is Hypothesis Testing.vtt | 5.8 KB |
| 8. Statistical Inference Relationship Between Variables/10. Polynomial Regression.mp4 | 9.2 MB |
| 8. Statistical Inference Relationship Between Variables/10. Polynomial Regression.vtt | 3.7 KB |
| 8. Statistical Inference Relationship Between Variables/11. GLM Generalized Linear Model.mp4 | 11.8 MB |
| 8. Statistical Inference Relationship Between Variables/11. GLM Generalized Linear Model.vtt | 5.2 KB |
| 8. Statistical Inference Relationship Between Variables/12. Logistic Regression.mp4 | 28.8 MB |
| 8. Statistical Inference Relationship Between Variables/12. Logistic Regression.vtt | 11.1 KB |
| 8. Statistical Inference Relationship Between Variables/13. Conclusions to Section 8.mp4 | 4.9 MB |
| 8. Statistical Inference Relationship Between Variables/13. Conclusions to Section 8.vtt | 2.0 KB |
| 8. Statistical Inference Relationship Between Variables/14. Section 8 Quiz.html | 163 bytes |
| 8. Statistical Inference Relationship Between Variables/2. Test the Difference Between Two Groups.mp4 | 17.8 MB |
| 8. Statistical Inference Relationship Between Variables/2. Test the Difference Between Two Groups.vtt | 7.3 KB |
| 8. Statistical Inference Relationship Between Variables/3. Test the Difference Between More Than Two Groups.mp4 | 28.3 MB |
| 8. Statistical Inference Relationship Between Variables/3. Test the Difference Between More Than Two Groups.vtt | 10.9 KB |
| 8. Statistical Inference Relationship Between Variables/4. Explore the Relationship Between Two Quantitative Variables.mp4 | 9.4 MB |
| 8. Statistical Inference Relationship Between Variables/4. Explore the Relationship Between Two Quantitative Variables.vtt | 4.4 KB |
| 8. Statistical Inference Relationship Between Variables/5. Correlation Analysis.mp4 | 20.7 MB |
| 8. Statistical Inference Relationship Between Variables/5. Correlation Analysis.vtt | 8.6 KB |
| 8. Statistical Inference Relationship Between Variables/6. Linear Regression-Theory.mp4 | 24.9 MB |
| 8. Statistical Inference Relationship Between Variables/6. Linear Regression-Theory.vtt | 9.8 KB |
| 8. Statistical Inference Relationship Between Variables/7. Linear Regression-Implementation in Python.mp4 | 30.2 MB |
| 8. Statistical Inference Relationship Between Variables/7. Linear Regression-Implementation in Python.vtt | 11.5 KB |
| 8. Statistical Inference Relationship Between Variables/8. Conditions of Linear Regression.mp4 | 3.0 MB |
| 8. Statistical Inference Relationship Between Variables/8. Conditions of Linear Regression.vtt | 1.8 KB |
| 8. Statistical Inference Relationship Between Variables/9. Conditions of Linear Regression-Check in Python.mp4 | 33.4 MB |
| 8. Statistical Inference Relationship Between Variables/9. Conditions of Linear Regression-Check in Python.vtt | 12.6 KB |
| 9. Machine Learning for Data Science/1. How is Machine Learning Different from Statistical Data Analysis.mp4 | 13.7 MB |
| 9. Machine Learning for Data Science/1. How is Machine Learning Different from Statistical Data Analysis.vtt | 6.2 KB |
| 9. Machine Learning for Data Science/2. What is Machine Learning (ML) About Some Theoretical Pointers.mp4 | 15.8 MB |
| 9. Machine Learning for Data Science/2. What is Machine Learning (ML) About Some Theoretical Pointers.vtt | 6.6 KB |
| [CourseClub.Me].url | 48 bytes |
| [DesireCourse.Net].url | 51 bytes |
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