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[ FreeCourseWeb.com ] Hands-On Data Science with R- Techniques to perform data manipulation and mining to build smart analytical models using R.zip

  • [ FreeCourseWeb.com ] Hands-On Data Science with R- Techniques to perform data manipulation and mining to build smart analytical models using R.zip 93.5 MB
[磁力链接] 添加时间:2021-03-29 大小:93.5 MB 最近下载:2025-05-31 热度:609

[FreeCourseSite.com] Udemy - Complete Machine Learning & Data Science Bootcamp 2021

  • 5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
  • 9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
  • 16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/41. Tuning Hyperparameters.mp4 184.3 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
  • 16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 168.8 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Feature Engineering.mp4 166.9 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4 162.5 MB
  • 9. Scikit-learn Creating Machine Learning Models/48. Putting It All Together.mp4 157.9 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/9. Turning Data Into Numbers.mp4 153.3 MB
  • 5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
  • 9. Scikit-learn Creating Machine Learning Models/16. Choosing The Right Model For Your Data.mp4 150.2 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/21. Feature Importance.mp4 149.2 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Preproccessing Our Data.mp4 146.1 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/10. Finding Patterns 3.mp4 144.6 MB
[磁力链接] 添加时间:2021-04-15 大小:20.8 GB 最近下载:2025-05-31 热度:758

DS4B 101-P Python for Data Science Automation (2021) [En]

  • lesson64.mp4 53.1 MB
  • lesson61.mp4 51.8 MB
  • lesson194.mp4 51.6 MB
  • lesson166.mp4 51.5 MB
  • lesson63.mp4 50.0 MB
  • lesson62.mp4 47.7 MB
  • lesson230.mp4 47.3 MB
  • lesson145.mp4 43.3 MB
  • lesson57.mp4 43.2 MB
  • lesson231.mp4 42.9 MB
  • lesson41.mp4 42.1 MB
  • lesson85.mp4 41.9 MB
  • lesson186.mp4 41.3 MB
  • lesson140.mp4 40.9 MB
  • lesson83.mp4 39.5 MB
  • lesson87.mp4 38.9 MB
  • lesson185.mp4 38.3 MB
  • lesson86.mp4 37.8 MB
  • lesson212.mp4 37.4 MB
  • lesson76.mp4 37.2 MB
[磁力链接] 添加时间:2022-01-13 大小:4.2 GB 最近下载:2025-05-31 热度:2430

Data Analytics and Data Science for Executives.rar

  • Data Analytics and Data Science for Executives.rar 1.2 GB
[磁力链接] 添加时间:2025-05-10 大小:1.2 GB 最近下载:2025-05-31 热度:42

Data Science & Machine Learning - Hands on Data Science 2020

  • Data Science & Machine Learning - Hands on Data Science 2020/21 Data Science in Cloud/117 Data Science in Cloud - 2 (Microsoft Azure).mp4 199.6 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/107 Create Python virtual environment -2.mp4 153.2 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/07 Data visualization with Tableau/040 Insight -1.mp4 123.4 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/11 Web Scraping/062 How to use developer tools in browser.mp4 119.1 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/17 Linear Regression/091 Python Implementation - Step 1.mp4 104.3 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/18 Logistic Regression/095 Python Implementation - Step 1.mp4 102.5 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/19 Big Data analysis with Apache Spark - PySpark Python/100 Installation Part - 1 and 2.mp4 98.5 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/07 Data visualization with Tableau/041 Insight - 2.mp4 96.1 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/19 Big Data analysis with Apache Spark - PySpark Python/101 Installation Part - 3 and 4.mp4 92.3 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/01 Introduction/002 Download and Install Anaconda - Ubuntu Linux.mp4 89.9 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/111 Python Variables and Datatypes.mp4 77.4 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/06 Data visualization - plotly/033 Plotly scatter and line chart.mp4 76.2 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/26 -------- Statistics --------/151 Measure Statistical Parameter with Microsoft Excel.mp4 76.1 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/17 Linear Regression/092 Python Implementation - Step 2.mp4 75.3 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/06 Data visualization - plotly/037 Plotly - Histogram and Distribution plot.mp4 74.9 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/18 Logistic Regression/096 Python Implementation - Step 2.mp4 64.0 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/24 -------- Probability --------/133 Union Intersection of complement of event.mp4 63.6 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/20 Appendix/115 Python Looping in Python.mp4 59.7 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/21 Data Science in Cloud/116 Data Science in Cloud -1.mp4 56.8 MB
  • Data Science & Machine Learning - Hands on Data Science 2020/16 K nearest neighbour/086 KNN algorithm - Intitution.mp4 55.1 MB
[磁力链接] 添加时间:2022-03-15 大小:4.5 GB 最近下载:2025-05-31 热度:511

[FreeCourseWorld.Com] Udemy - Python A-Z™ Python For Data Science With Real Exercises!

  • 06 Advanced Visualization/059 BONUS Building Dashboards in Python.mp4 111.1 MB
  • 06 Advanced Visualization/060 BONUS Styling Tips.mp4 95.1 MB
  • 05 Data Frames/043 Filtering a Data Frame.mp4 92.4 MB
  • 05 Data Frames/041 Subsetting dataframes in Pandas.mp4 75.7 MB
  • 04 Matrices/028 Building Your First Matrix.mp4 74.6 MB
  • 04 Matrices/029 Dictionaries in Python.mp4 73.5 MB
  • 06 Advanced Visualization/061 BONUS Finishing Touches.mp4 69.0 MB
  • 06 Advanced Visualization/053 Stacked histograms in Python.mp4 60.3 MB
  • 05 Data Frames/047 Keyword Arguments in Python (advanced tutorial).mp4 59.6 MB
  • 04 Matrices/034 Advanced Function Design.mp4 59.5 MB
  • 07 Homework Solutions/072 THANK YOU bonus video.mp4 54.8 MB
  • 06 Advanced Visualization/057 Creating a Facet Grid.mp4 54.3 MB
  • 07 Homework Solutions/067 Homework Solution Section 4 Basketball Free Throws.mp4 54.0 MB
  • 06 Advanced Visualization/055 Working with Subplots().mp4 52.3 MB
  • 04 Matrices/033 Creating Your First Function.mp4 50.9 MB
  • 05 Data Frames/045 Introduction to Seaborn.mp4 49.1 MB
  • 05 Data Frames/044 Using .at() and .iat() (advanced tutorial).mp4 46.0 MB
  • 02 Core Programming Principles/005 Updates on Udemy Reviews.mp4 45.5 MB
  • 05 Data Frames/042 Basic operations with a Data Frame.mp4 44.5 MB
  • 04 Matrices/035 Basketball Insights.mp4 43.5 MB
[磁力链接] 添加时间:2021-03-11 大小:2.5 GB 最近下载:2025-05-31 热度:1631

[UdemyCourseDownloader] Complete Data Science & Machine Learning Bootcamp – Python 3

  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
  • 05. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
  • 03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.4 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.7 MB
  • 05. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
  • 11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
  • 08. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 215.3 MB
  • 08. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
  • 03. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.mp4 179.8 MB
  • 05. Predict House Prices with Multivariable Linear Regression/11. Visualising Correlations with a Heatmap.mp4 176.8 MB
  • 03. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.mp4 164.4 MB
  • 11. Use Tensorflow to Classify Handwritten Digits/11. Name Scoping and Image Visualisation in Tensorboard.mp4 162.9 MB
  • 03. Python Programming for Data Science and Machine Learning/9. [Python & Pandas] - Dataframes and Series.mp4 160.7 MB
  • 05. Predict House Prices with Multivariable Linear Regression/26. Residual Analysis (Part 2) Graphing and Comparing Regression Residuals.mp4 160.4 MB
  • 05. Predict House Prices with Multivariable Linear Regression/27. Making Predictions (Part 1) MSE & R-Squared.mp4 160.1 MB
[磁力链接] 添加时间:2021-04-07 大小:15.2 GB 最近下载:2025-05-31 热度:330

[ DevCourseWeb.com ] Udemy - Complete Machine Learning and Data Science with Python A-Z

  • ~Get Your Files Here !/2. Installations for Python/1. Installing Anaconda Distribution for Windows.mp4 128.6 MB
  • ~Get Your Files Here !/2. Installations for Python/3. Installing Anaconda Distribution for Linux.mp4 125.6 MB
  • ~Get Your Files Here !/5. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4 112.1 MB
  • ~Get Your Files Here !/3. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 105.1 MB
  • ~Get Your Files Here !/3. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4 96.7 MB
  • ~Get Your Files Here !/5. Linear Regression Algorithm in Machine Learning A-Z/5. Linear Regression Algorithm with Python Part 4.mp4 94.4 MB
  • ~Get Your Files Here !/7. Logistic Regression Algorithm in Machine Learning A-Z/3. Logistic Regression Algorithm with Python Part 2.mp4 85.4 MB
  • ~Get Your Files Here !/5. Linear Regression Algorithm in Machine Learning A-Z/2. Linear Regression Algorithm With Python Part 1.mp4 79.9 MB
  • ~Get Your Files Here !/7. Logistic Regression Algorithm in Machine Learning A-Z/2. Logistic Regression Algorithm with Python Part 1.mp4 75.7 MB
  • ~Get Your Files Here !/5. Linear Regression Algorithm in Machine Learning A-Z/4. Linear Regression Algorithm with Python Part 3.mp4 73.7 MB
  • ~Get Your Files Here !/9. K Nearest Neighbors Algorithm in Machine Learning A-Z/3. K Nearest Neighbors Algorithm with Python Part 2.mp4 62.3 MB
  • ~Get Your Files Here !/2. Installations for Python/2. Installing Anaconda Distribution for MacOs.mp4 60.7 MB
  • ~Get Your Files Here !/6. Bias Variance Trade-Off in Machine Learning/1. What is Bias Variance Trade-Off.mp4 57.7 MB
  • ~Get Your Files Here !/11. Decision Tree Algorithm in Machine Learning A-Z/3. Decision Tree Algorithm with Python Part 2.mp4 51.3 MB
  • ~Get Your Files Here !/10. Hyperparameter Optimization/2. Hyperparameter Optimization with Python.mp4 49.8 MB
  • ~Get Your Files Here !/13. Support Vector Machine Algorithm in Machine Learning A-Z/4. Support Vector Machine Algorithm with Python Part 3.mp4 49.7 MB
  • ~Get Your Files Here !/7. Logistic Regression Algorithm in Machine Learning A-Z/5. Logistic Regression Algorithm with Python Part 4.mp4 49.5 MB
  • ~Get Your Files Here !/3. Evaluation Metrics in Machine Learning/3. Evaluating Performance Regression Error Metrics in Python.mp4 47.9 MB
  • ~Get Your Files Here !/11. Decision Tree Algorithm in Machine Learning A-Z/5. Decision Tree Algorithm with Python Part 4.mp4 44.5 MB
  • ~Get Your Files Here !/13. Support Vector Machine Algorithm in Machine Learning A-Z/3. Support Vector Machine Algorithm with Python Part 2.mp4 43.7 MB
[磁力链接] 添加时间:2023-12-17 大小:2.7 GB 最近下载:2025-05-31 热度:5158

[ CourseMega.com ] Udemy - Designing and Implementing a Data Science Solution on Azure

  • ~Get Your Files Here !/6. Running Spark on Azure Databricks.mp4 39.6 MB
  • ~Get Your Files Here !/5. Managing Role-Based Access Control on Azure.mp4 33.5 MB
  • ~Get Your Files Here !/3. Azure Machine Learning Studio.mp4 33.4 MB
  • ~Get Your Files Here !/2. Azure Machine Learning SDK.mp4 32.4 MB
  • ~Get Your Files Here !/7. Azure Databricks to Import and Analyze Data.mp4 31.6 MB
  • ~Get Your Files Here !/4. Hyperdrive in Azure Machine Learning.mp4 29.2 MB
  • ~Get Your Files Here !/1. Introduction.mp4 27.7 MB
  • ~Get Your Files Here !/3. Azure Machine Learning Studio.srt 6.2 kB
  • ~Get Your Files Here !/7. Azure Databricks to Import and Analyze Data.srt 6.0 kB
  • ~Get Your Files Here !/2. Azure Machine Learning SDK.srt 5.7 kB
  • ~Get Your Files Here !/1. Introduction.srt 5.7 kB
  • ~Get Your Files Here !/4. Hyperdrive in Azure Machine Learning.srt 5.6 kB
  • ~Get Your Files Here !/6. Running Spark on Azure Databricks.srt 5.6 kB
  • ~Get Your Files Here !/5. Managing Role-Based Access Control on Azure.srt 5.2 kB
  • ~Get Your Files Here !/Bonus Resources.txt 357 Bytes
  • Get Bonus Downloads Here.url 180 Bytes
[磁力链接] 添加时间:2022-04-06 大小:227.5 MB 最近下载:2025-05-31 热度:167

365 Data Science - Credit Risk Modeling in Python [CoursesGhar]

  • 1. Introduction/1. What is credit risk and why is it important.mp4 57.8 MB
  • 9. PD model monitoring/2. Population stability index - preprocessing.mp4 55.1 MB
  • 1. Introduction/2. Expected loss (EL) and its components - PD, LGD and EAD.mp4 48.3 MB
  • 13. Calculating expected loss/1. Calculating expected loss.mp4 47.8 MB
  • 6. PD model estimation/4. Build a logistic regression model with p-values..mp4 43.8 MB
  • 8. Applying the PD model for decision making/2. Creating a scorecard.mp4 42.1 MB
  • 5. PD model_ data preparation/13. Data preparation. Preprocessing continuous variables - creating dummies (Part 2).mp4 39.9 MB
  • 5. PD model_ data preparation/14. Data preparation. Preprocessing continuous variables - creating dummies (Part 3).mp4 37.8 MB
  • 5. PD model_ data preparation/10. Data preparation. Preprocessing discrete variables - creating dummies (Part 2).mp4 36.5 MB
  • 9. PD model monitoring/3. Population stability index - calculation and interpretation.mp4 34.5 MB
  • 1. Introduction/5. Different facility types (asset classes) and credit risk modeling approaches.mp4 33.8 MB
  • 1. Introduction/4. Basel II approaches - SA, F-IRB, and A-IRB.mp4 31.1 MB
  • 8. Applying the PD model for decision making/5. Setting cut-offs.mp4 31.1 MB
  • 4. General preprocessing/2. Preprocessing few continuous variables.mp4 31.1 MB
  • 7. PD model validation (test)/2. Evaluation of model performance - accuracy and area under the curve (AUC).mp4 26.4 MB
  • 7. PD model validation (test)/3. Evaluation of model performance - Gini and Kolmogorov-Smirnov..mp4 24.4 MB
  • 5. PD model_ data preparation/8. Data preparation. Preprocessing discrete variables - visualizing results.mp4 23.8 MB
  • 6. PD model estimation/1. The PD model. Logistic regression with dummy variables.mp4 21.3 MB
  • 5. PD model_ data preparation/5. Data preparation. Splitting data.mp4 21.3 MB
  • 7. PD model validation (test)/1. Out-of-sample validation (test)..mp4 21.1 MB
[磁力链接] 添加时间:2022-04-04 大小:1.2 GB 最近下载:2025-05-31 热度:733

Data Science Practical Automated Machine Learning(Auto ML)

  • [TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/7. Auto Keras Models/3. Image classification using ANN AutoKeras.mp4 156.4 MB
  • [TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/4. Auto Sklearn Part2/3. Data preprocessing and Data visulization.mp4 124.1 MB
  • [TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/7. Auto Keras Models/11. Topic Classifer using Autokeras.mp4 112.8 MB
  • [TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/4. Auto Sklearn Part2/4. Model Building.mp4 109.3 MB
  • [TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/7. Auto Keras Models/9. Text classification using Autokeras.mp4 108.0 MB
  • [TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/7. Auto Keras Models/5. Image classification using CNN Autokeras.mp4 105.7 MB
  • [TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/3. Auto Sklearn Part 1/3. Data Preprocessing And Data Visualization.mp4 97.6 MB
  • [TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/7. Auto Keras Models/7. Object recognition using autokeras.mp4 87.1 MB
  • [TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/3. Auto Sklearn Part 1/4. Building a model.mp4 79.3 MB
  • [TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/7. Auto Keras Models/1. Image classification using AutoKeras.mp4 72.1 MB
  • [TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/4. Auto Sklearn Part2/2.1 Credit_card_fraud_detection.zip 69.9 MB
  • [TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/4. Auto Sklearn Part2/1. Introduction to credit card fraud detection.mp4 66.2 MB
  • [TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/5. TPOT Models Part 1/3. Data preprocessing and visualization.mp4 63.2 MB
  • [TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/6. TPOT Models Part 2/4. Model building.mp4 60.3 MB
  • [TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/5. TPOT Models Part 1/4. Model building.mp4 56.3 MB
  • [TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/6. TPOT Models Part 2/3. Data preprocessing and visualization.mp4 50.1 MB
  • [TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/3. Auto Sklearn Part 1/1. Introduction to mobile price prediction.mp4 39.3 MB
  • [TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/2. Introduction to AutoML/3. Introduction to Auto Keras.mp4 32.6 MB
  • [TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/5. TPOT Models Part 1/1. Introduction to medical insurance cost prediction.mp4 31.1 MB
  • [TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)/6. TPOT Models Part 2/1. Introduction to Red wine quality classification.mp4 30.2 MB
[磁力链接] 添加时间:2021-04-04 大小:1.6 GB 最近下载:2025-05-31 热度:2589

[DesireCourse.Net] Udemy - Statistics for Data Science and Business Analysis

  • 5. Practical example descriptive statistics/1. Practical example.mp4 168.3 MB
  • 17. Practical example regression analysis/1. Practical example regression analysis.mp4 135.6 MB
  • 9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 107.6 MB
  • 10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 96.6 MB
  • 10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 86.6 MB
  • 7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
  • 3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 76.1 MB
  • 8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
  • 12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 72.7 MB
  • 1. Introduction/1. What does the course cover.mp4 72.0 MB
  • 6. Distributions/9. Understanding the central limit theorem.mp4 66.0 MB
  • 6. Distributions/2. What is a distribution.mp4 64.6 MB
  • 2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 60.9 MB
  • 7. Estimators and estimates/7. Confidence interval clarifications.mp4 59.9 MB
  • 11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
  • 3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 57.0 MB
  • 11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 56.9 MB
  • 13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 53.5 MB
  • 4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 53.4 MB
  • 11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.mp4 52.9 MB
[磁力链接] 添加时间:2021-03-24 大小:3.0 GB 最近下载:2025-05-31 热度:1544

GetFreeCourses.Co-Udemy-Complete Machine Learning & Data Science with Python A-Z

  • 4. Linear Regression Algorithm/5. Linear Regression Algorithm Project Solutions.mp4 207.1 MB
  • 4. Linear Regression Algorithm/2. Linear Regression Algorithm With Python Part 1.mp4 173.8 MB
  • 7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/4. K Nearest Neighbors Algorithm Project Solutions.mp4 151.4 MB
  • 7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/2. K Nearest Neighbors Algorithm With Python.mp4 147.2 MB
  • 9. Support Vector Machine Algorithm/2. Support Vector Machines Algorithm With Python.mp4 143.3 MB
  • 11. K Means Clustering Algorithm/4. K Means Clustering Algorithm Project Solutions.mp4 134.8 MB
  • 13. Principal Component Analysis (PCA)/2. Principal Component Analysis (PCA) With Python.mp4 133.1 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/3. Logistic Regression Algorithm With Python Part 2.mp4 120.4 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/6. Logistic Regression Algorithm Project Solutions.mp4 119.8 MB
  • 2. Evalution Metrics/2. Evaluating Performance Classification Error Metrics.mp4 117.6 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/2. Logistic Regression Algorithm With Python Part 1.mp4 115.8 MB
  • 8. Decision Trees And Random Forest Algorithm/4. Decision Trees And Random Forest Algorithm Project Solutions Part 1.mp4 111.0 MB
  • 9. Support Vector Machine Algorithm/4. Support Vector Machines Algorithm Project Solutions.mp4 102.7 MB
  • 14. Recommender System Algorithm/2. Recommender System Algorithm With Python Part 1.mp4 98.6 MB
  • 14. Recommender System Algorithm/3. Recommender System Algorithm With Python Part 2.mp4 97.6 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/1. Logistic Regression Algorithm Theory.mp4 96.0 MB
  • 11. K Means Clustering Algorithm/2. K Means Clustering Algorithm With Python.mp4 93.4 MB
  • 8. Decision Trees And Random Forest Algorithm/2. Decision Trees And Random Forest Algorithm With Python.mp4 90.4 MB
  • 8. Decision Trees And Random Forest Algorithm/5. Decision Trees And Random Forest Algorithm Project Solutions Part 2.mp4 88.5 MB
  • 2. Evalution Metrics/4. Machine Learning With Python.mp4 70.0 MB
[磁力链接] 添加时间:2022-03-14 大小:3.3 GB 最近下载:2025-05-31 热度:3477

Data Science NLP and Sentimental Analysis in R

  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/6. The dplyr package to handle data/9. Theory Pipe operator in R.mp4 161.5 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/44. Using NRC lexicon.mp4 151.6 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/30. Remove stop words.mp4 133.9 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/10. Clean data continued...mp4 130.2 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/1. Tools for webscraping in R.mp4 125.5 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/12. Get content using scraping.mp4 120.1 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/5. Building Logic in R/6. Theory Function in R.mp4 108.8 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/25. Remove Sparse terms.mp4 107.1 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/9. Cleaning the data.mp4 105.6 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/43. Using bing lexicon.mp4 101.3 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/8. Important Terminologies/2. What is web scraping.mp4 95.6 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/7. Introduction to Text mining/2. Common Techniques.mp4 91.9 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/41. Melting in R.mp4 91.7 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/40. Theory Reshape in R.mp4 90.2 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/16. Refine the data from data frame.mp4 88.9 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/7. Introduction to Text mining/1. Text Mining in R.mp4 87.9 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/2. Essentials R programming/2. Theory Installing packages in R.mp4 85.5 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/21. Theory Vector Space Model.mp4 83.1 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/9. Project Sentimental Analysis with R/33. Plot a bar graph.mp4 81.9 MB
  • [TutsNode.com] - Data Science NLP and Sentimental Analysis in R/3. IMPORTANT Data Structures in R/2. Theory Vectors in R.mp4 81.8 MB
[磁力链接] 添加时间:2022-02-11 大小:6.2 GB 最近下载:2025-05-31 热度:2009

[ CourseBoat.com ] Udemy - Geospatial APIs For Data Science Applications In Python

  • ~Get Your Files Here !/2. Introduction to Geospatial APIs (and Other Sources of GIS Data)/8. Visualise the Foursquare Venues.mp4 121.6 MB
  • ~Get Your Files Here !/8. Machine Learning/1. What is Machine Learning (ML).mp4 113.8 MB
  • ~Get Your Files Here !/1. Welcome to the Course/7. Introduction To Basic Spatial Data Concepts.mp4 106.7 MB
  • ~Get Your Files Here !/4. Introduction To Google Earth Engine (GE)/3. Datasets Within GEE.mp4 105.0 MB
  • ~Get Your Files Here !/7. Getting a Sense of Our Data/2. Principles of Data Visualisation.mp4 98.7 MB
  • ~Get Your Files Here !/8. Machine Learning/9. Basic Supervised Classification With MODIS For Training Samples.mp4 80.8 MB
  • ~Get Your Files Here !/8. Machine Learning/5. Clustering Landcovers in Cambodia-Part1.mp4 80.1 MB
  • ~Get Your Files Here !/7. Getting a Sense of Our Data/3. Some Theoretical Principles Behind Data Visualisation.mp4 75.1 MB
  • ~Get Your Files Here !/8. Machine Learning/7. Supervised Classification.mp4 73.1 MB
  • ~Get Your Files Here !/7. Getting a Sense of Our Data/1. What Are Pandas.mp4 73.0 MB
  • ~Get Your Files Here !/8. Machine Learning/14. Supervised Classification Geolocation Training Data.mp4 61.7 MB
  • ~Get Your Files Here !/7. Getting a Sense of Our Data/5. Where Are Singapore's MRT Stations Located.mp4 61.6 MB
  • ~Get Your Files Here !/8. Machine Learning/2. Training Data.mp4 61.5 MB
  • ~Get Your Files Here !/8. Machine Learning/11. Accuracy.mp4 60.9 MB
  • ~Get Your Files Here !/5. Obtaining GEE Data Via API To Use With Python/4. Filter and Visualise Shapefiles.mp4 59.9 MB
  • ~Get Your Files Here !/8. Machine Learning/6. Clustering Landcovers in Cambodia-Part 2.mp4 58.5 MB
  • ~Get Your Files Here !/2. Introduction to Geospatial APIs (and Other Sources of GIS Data)/10. Retrieve the Venues Corresponding To Mumbai's Neighbourhoods.mp4 56.0 MB
  • ~Get Your Files Here !/3. Other Source of Geospatial Data/2. Obtain World Bank Data.mp4 55.2 MB
  • ~Get Your Files Here !/6. Working With GEE's Imagery Data/13. Obtain Time Series Landsat Data From GEE.mp4 54.7 MB
  • ~Get Your Files Here !/5. Obtaining GEE Data Via API To Use With Python/10. Upload External Data On GEE.mp4 52.2 MB
[磁力链接] 添加时间:2022-03-27 大小:3.2 GB 最近下载:2025-05-31 热度:5488

[FreeCourseLab.com] Udemy - Master SQL For Data Science

  • Lesson 37. Working with Rollups and Cubes.mp4 117.4 MB
  • Lesson 35. RANK, FIRST_VALUE and NTILE Functions.mp4 116.7 MB
  • Lesson 32. Creating Views vs. Inline Views.mp4 84.3 MB
  • Lesson 4. Install Postgres on Windows.mp4 75.1 MB
  • Lesson 36. LEAD and LAG Functions.mp4 66.2 MB
  • Lesson 1. Course Overview.mp4 55.4 MB
  • Lesson 5. Create Table and Insert Statements.mp4 45.3 MB
  • Lesson 28. INNER and OUTER Joins + [EXERCISES].mp4 42.6 MB
  • Lesson 8. Filter Data Using the WHERE Clause + AND & OR.mp4 42.4 MB
  • Lesson 6. Prepare the Database.mp4 41.9 MB
  • Lesson 34. Ordering Data in Window Frames.mp4 36.5 MB
  • Lesson 23. Conditional Expressions Using CASE Clause + [EXERCISES].mp4 34.7 MB
  • Lesson 21. Subqueries with ANY and ALL Operators + [EXERCISES].mp4 34.6 MB
  • Lesson 7. Introducing the SELECT Statement.mp4 34.4 MB
  • Lesson 25. Understanding Correlated Subqueries.mp4 33.6 MB
  • Lesson 24. Transposing Data using the CASE Clause + [EXERCISES].mp4 31.7 MB
  • Lesson 9. Filtering Operators - IN, NOT IN, IS NULL, BETWEEN.mp4 31.6 MB
  • Lesson 33. Window Functions using the OVER() Clause.mp4 31.3 MB
  • Lesson 20. Subqueries Continued + [EXERCISES].mp4 31.2 MB
  • Lesson 31. [EXERCISES] Joins and Subqueries Continued.mp4 28.7 MB
[磁力链接] 添加时间:2021-03-21 大小:1.4 GB 最近下载:2025-05-31 热度:2900

Курс Data Science и нейронные сети на Python [2020] [Дмитрий Романов]

  • № 1 Введение в нейронные сети/Занятие № 1 Введение в нейронные сети НС PRO июль 2020.mp4 1.6 GB
  • Бонусы.rar 1.5 GB
  • № 8 Прямые и свёрточные нейронные сети для обработки аудиосигналов/genres.rar 1.3 GB
  • № 2 Полносвязные сети, обучающая и тестовая выборки/Занятие № 2 Полносвязные сети, обучающая и тестовая выборки НС PRO июль 2020.mp4 1.3 GB
  • № 6 Нейронные сети для решения задачи регрессии/hh_fixed.csv 615.7 MB
  • № 18 Object Detection (обнаружение объектов)/Занятие № 18 Object Detection (обнаружение объектов) _ PRO июль.mkv 456.5 MB
  • № 21 Интеграция нейронной сети в Production. Часть 1/Занятие № 21 Интеграция нейронной сети в Production. Часть 1 _ НС Pro июль 2020.mkv 441.4 MB
  • № 6 Нейронные сети для решения задачи регрессии/Занятие № 6 Нейронные сети для решения задач регресии НС PRO июль 2020.mkv 414.2 MB
  • № 8 Прямые и свёрточные нейронные сети для обработки аудиосигналов/Занятие № 8 Прямые и свёрточные нейронные сети для обработки аудиосигнало.mkv 400.2 MB
  • № 11 Генеративные состязательные сети/Занятие № 11 Генеративные состязательные сети НС PRO июль 2020.mkv 389.7 MB
  • № 5 Рекуррентные нейронные сети и одномерные свёрточные сети для обработки текстов/Занятие № 5 Рекуррентные НС и одномерные свёрточные сети для обработки текстов НС PRO июль 2020.mkv 387.8 MB
  • № 26 Написание нейронных сетей с библиотекой PyTorch. Часть 2/PRO июль 2020 Занятие № 26 Написание нейронных сетей с библиотекой PyTorch. Часть 2.mkv 381.0 MB
  • № 4 Обработка текстов с помощью нейросетей/Занятие № 4 Обработка текстов с помощью нейронных сетей НС PRO июль 2020.mkv 374.2 MB
  • № 3 Свёрточные нейронные сети/Занятие № 3 Сверточные нейронные сети НС PRO июль 2020.mkv 371.2 MB
  • № 25 Написание нейронных сетей с библиотекой PyTorch. Часть 1/Занятие № 25 Написание нейронных сетей с библиотекой PyTorch. Часть 1 PRO НС июль 2020.mkv 364.3 MB
  • № 7 Полносвязные и рекуррентные нейронные сети для прогнозирования временных рядов/Занятие № 7 Полносвязные и рекуррентные сети для прогнозирования временных рядов НС PRO июль 2020.mkv 364.2 MB
  • № 19 Обучение с подкреплением/Занятие № 19 Обучение с подкреплением НС PRO июль 2020.mkv 363.8 MB
  • № 13 Генерация текста/Занятие № 13 Генерация текста НС PRO июль 2020.mkv 353.4 MB
  • № 10 Вариационные автокодировщики, генеративные модели на базе автокодировщиков/Занятие № 10 Вариационные автокодировщики, генеративные модели на их базе НС PRO июль 2020.mkv 341.3 MB
  • № 15 Введение в генетические алгоритмы/Занятие № 15 Введение в генетические алгоритмы НС PRO июль 2020.mkv 340.2 MB
[磁力链接] 添加时间:2021-03-24 大小:24.3 GB 最近下载:2025-05-31 热度:12518

[ DevCourseWeb.com ] Udemy - Pandas The ultimate guide on python pandas for data science

  • ~Get Your Files Here !/2. Types of pandas data structures/3. Pandas DataFrame.mp4 217.4 MB
  • ~Get Your Files Here !/3. Functionality of pandas/1. Basic functionality.mp4 129.1 MB
  • ~Get Your Files Here !/2. Types of pandas data structures/2. Pandas series.mp4 128.4 MB
  • ~Get Your Files Here !/9. Groupby function/1. Groupby.mp4 114.7 MB
  • ~Get Your Files Here !/6. Advanced indexing/1. Indexing and selecting data.mp4 102.2 MB
  • ~Get Your Files Here !/12. Categorical data handling/1. Categorical data.mp4 98.2 MB
  • ~Get Your Files Here !/5. Working with data in pandas/2. Operations on text data.mp4 88.0 MB
  • ~Get Your Files Here !/3. Functionality of pandas/2. Descriptive statistics.mp4 84.5 MB
  • ~Get Your Files Here !/4. Indexing and reindexing/1. Reindexing.mp4 79.0 MB
  • ~Get Your Files Here !/4. Indexing and reindexing/2. Iteration.mp4 79.0 MB
  • ~Get Your Files Here !/8. Handling missing data/1. Missing data.mp4 77.8 MB
  • ~Get Your Files Here !/13. Data visualization and IO operations/3. Comparision with SQL.mp4 76.4 MB
  • ~Get Your Files Here !/3. Functionality of pandas/3. Function application.mp4 65.9 MB
  • ~Get Your Files Here !/10. Database operations/1. Merging or joining.mp4 63.1 MB
  • ~Get Your Files Here !/5. Working with data in pandas/1. Sorting data in pandas.mp4 61.4 MB
  • ~Get Your Files Here !/7. Functions on pandas/1. Statistical functions.mp4 57.8 MB
  • ~Get Your Files Here !/7. Functions on pandas/3. Aggregation functions.mp4 57.0 MB
  • ~Get Your Files Here !/2. Types of pandas data structures/1. Pandas data structures.mp4 56.7 MB
  • ~Get Your Files Here !/13. Data visualization and IO operations/1. Data visualization.mp4 55.7 MB
  • ~Get Your Files Here !/10. Database operations/2. Concatenation.mp4 54.2 MB
[磁力链接] 添加时间:2022-03-14 大小:2.0 GB 最近下载:2025-05-31 热度:1102

Udemy - Python for Data Science and Machine Learning Bootcamp (5.2020)

  • 25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
  • 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
  • 25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
  • 25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
  • 25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
  • 25. Neural Nets and Deep Learning/8. Activation Functions.mp4 65.6 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
  • 25. Neural Nets and Deep Learning/11. Backpropagation.mp4 60.8 MB
[磁力链接] 添加时间:2025-04-23 大小:5.4 GB 最近下载:2025-05-31 热度:463

Data Science 101 Python Data Visualization for Beginners

  • [TutsNode.com] - Data Science 101 Python Data Visualization for Beginners/7 Visualizing Data in Matplotlib.mp4 106.5 MB
  • [TutsNode.com] - Data Science 101 Python Data Visualization for Beginners/6 Analyzing Data in Pandas.mp4 62.4 MB
  • [TutsNode.com] - Data Science 101 Python Data Visualization for Beginners/5 Preprocessing Data in Pandas.mp4 33.7 MB
  • [TutsNode.com] - Data Science 101 Python Data Visualization for Beginners/3 Python Refresher.mp4 30.2 MB
  • [TutsNode.com] - Data Science 101 Python Data Visualization for Beginners/2 Project A B Webpage Test.mp4 11.1 MB
  • [TutsNode.com] - Data Science 101 Python Data Visualization for Beginners/1 Introduction.mp4 9.9 MB
  • [TutsNode.com] - Data Science 101 Python Data Visualization for Beginners/8 Conclusion.mp4 8.6 MB
  • [TutsNode.com] - Data Science 101 Python Data Visualization for Beginners/4 Privacy-First Experimental Design.mp4 5.8 MB
  • .pad/3 217.0 kB
  • .pad/2 150.2 kB
  • .pad/4 137.2 kB
  • .pad/1 105.1 kB
  • [TutsNode.com] - Data Science 101 Python Data Visualization for Beginners/Data101 Resources.pdf.pdf 103.7 kB
  • .pad/6 97.4 kB
  • .pad/5 87.5 kB
  • [TutsNode.com] - Data Science 101 Python Data Visualization for Beginners/7 Visualizing Data in Matplotlib.en.srt 32.1 kB
  • [TutsNode.com] - Data Science 101 Python Data Visualization for Beginners/7 Visualizing Data in Matplotlib.en.vtt 30.8 kB
  • [TutsNode.com] - Data Science 101 Python Data Visualization for Beginners/3 Python Refresher.en.srt 16.7 kB
  • [TutsNode.com] - Data Science 101 Python Data Visualization for Beginners/3 Python Refresher.en.vtt 16.0 kB
  • [TutsNode.com] - Data Science 101 Python Data Visualization for Beginners/6 Analyzing Data in Pandas.en.srt 15.1 kB
[磁力链接] 添加时间:2021-05-11 大小:269.3 MB 最近下载:2025-05-31 热度:895


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