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[ FreeCourseWeb.com ] Udemy - Google Cloud SQL for Data Science.zip

  • [ FreeCourseWeb.com ] Udemy - Google Cloud SQL for Data Science.zip 531.6 MB
[磁力链接] 添加时间:2021-04-27 大小:531.6 MB 最近下载:2025-08-23 热度:1945

[DesireCourse.Net] Udemy - Intro to Data Science Your Step-by-Step Guide To Starting

  • 2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/2. The 6-Week Data Scientist.mp4 250.2 MB
  • 2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/13. Artificial Intelligence.mp4 235.4 MB
  • 6. Section 5 -------------------- Course Conclusion --------------------/1. Course Conclusion.mp4 224.7 MB
  • 4. Section 3 -------------------- Data Science with Python --------------------/9. Python - Step 9.mp4 190.1 MB
  • 2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/5. Visualization.mp4 173.8 MB
  • 4. Section 3 -------------------- Data Science with Python --------------------/6. Python - Step 6.mp4 169.9 MB
  • 2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/11. Deep Learning and Computer Vision.mp4 169.8 MB
  • 2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/10. Deep Learning.mp4 161.4 MB
  • 5. Section 4 -------------------- Data Science with the Cloud --------------------/3. Cloud - Step 3.mp4 154.0 MB
  • 2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/12. Deep Learning and NLP.mp4 153.3 MB
  • 3. Section 2 -------------------- Data Science with Tableau --------------------/2. Intro to Tableau - Step 2.mp4 143.7 MB
  • 4. Section 3 -------------------- Data Science with Python --------------------/10. Python - Step 10.mp4 143.6 MB
  • 2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/9. Machine Learning.srt 135.1 MB
  • 2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/9. Machine Learning.mp4 135.0 MB
  • 2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/4. The Data Science Process.mp4 132.8 MB
  • 2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/3. Statistics.mp4 129.1 MB
  • 2. Section 1 -------------------- The Ultimate Data Science Guide ----------------/7. Databases.mp4 125.9 MB
  • 5. Section 4 -------------------- Data Science with the Cloud --------------------/2. Cloud - Step 2.mp4 124.1 MB
  • 3. Section 2 -------------------- Data Science with Tableau --------------------/3. Intro to Tableau - Step 3.mp4 122.2 MB
  • 5. Section 4 -------------------- Data Science with the Cloud --------------------/1. Cloud - Step 1.mp4 117.5 MB
[磁力链接] 添加时间:2022-02-10 大小:4.5 GB 最近下载:2025-08-23 热度:1214

[ DevCourseWeb.com ] Udemy - 2023 Master Class On Data Science Using Python A-Z - For Ml

  • ~Get Your Files Here !/1 - BONUS Python Crash Course/18 - Working with List methods.mp4 198.9 MB
  • ~Get Your Files Here !/1 - BONUS Python Crash Course/28 - Basics of dictionary.mp4 139.6 MB
  • ~Get Your Files Here !/3 - Data Handling using Pandas/58 - Introduction to Pandas.mp4 84.6 MB
  • ~Get Your Files Here !/1 - BONUS Python Crash Course/23 - Tuple Indexing Slicing.mp4 82.4 MB
  • ~Get Your Files Here !/1 - BONUS Python Crash Course/27 - Dictionaries.mp4 79.0 MB
  • ~Get Your Files Here !/5 - Data Visualization using Seaborn in Python/78 - Facet Grids.mp4 62.6 MB
  • ~Get Your Files Here !/1 - BONUS Python Crash Course/32 - Example program1 on Functions.mp4 61.0 MB
  • ~Get Your Files Here !/2 - Data Handling using Numpy/40 - Mathematical Operations on Array.mp4 56.0 MB
  • ~Get Your Files Here !/1 - BONUS Python Crash Course/33 - Example program2 on functions.mp4 55.3 MB
  • ~Get Your Files Here !/3 - Data Handling using Pandas/59 - Working with series in Pandas.mp4 54.5 MB
  • ~Get Your Files Here !/5 - Data Visualization using Seaborn in Python/76 - Swarm Plot.mp4 54.2 MB
  • ~Get Your Files Here !/2 - Data Handling using Numpy/56 - Finding Transpose of a Matrix.mp4 52.1 MB
  • ~Get Your Files Here !/1 - BONUS Python Crash Course/21 - Tuple definition.mp4 51.9 MB
  • ~Get Your Files Here !/1 - BONUS Python Crash Course/26 - Sets.mp4 50.8 MB
  • ~Get Your Files Here !/1 - BONUS Python Crash Course/15 - Introduction to containers.mp4 47.2 MB
  • ~Get Your Files Here !/1 - BONUS Python Crash Course/29 - Accessing dictionary.mp4 46.5 MB
  • ~Get Your Files Here !/2 - Data Handling using Numpy/39 - Slicing a 1D array.mp4 44.7 MB
  • ~Get Your Files Here !/1 - BONUS Python Crash Course/16 - Creating and accessing lists in Python.mp4 43.7 MB
  • ~Get Your Files Here !/3 - Data Handling using Pandas/60 - Combining series with Numpy.mp4 42.6 MB
  • ~Get Your Files Here !/1 - BONUS Python Crash Course/17 - List indexing and slicing.mp4 41.0 MB
[磁力链接] 添加时间:2024-07-31 大小:2.6 GB 最近下载:2025-08-23 热度:749

[ FreeCourseWeb.com ] Udemy - Python, Excel and Machine Learning for Stocks Data Science.zip

  • [ FreeCourseWeb.com ] Udemy - Python, Excel and Machine Learning for Stocks Data Science.zip 3.7 GB
[磁力链接] 添加时间:2024-10-28 大小:3.7 GB 最近下载:2025-08-23 热度:674

[DesireCourse.Com] Udemy - Data Science Natural Language Processing (NLP) in Python

  • 08 Appendix/021 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
  • 03 Build your own sentiment analyzer/010 Sentiment Analysis in Python.mp4 45.7 MB
  • 06 Write your own article spinner/019 Writing an article spinner in Python.mp4 27.2 MB
  • 05 Latent Semantic Analysis/016 Latent Semantic Analysis in Python.mp4 26.7 MB
  • 08 Appendix/022 How to Code by Yourself part 1.mp4 25.7 MB
  • 08 Appendix/023 How to Code by Yourself part 2.mp4 15.5 MB
  • 05 Latent Semantic Analysis/015 PCA and SVD - The underlying math behind LSA.mp4 13.8 MB
  • 02 Build your own spam detector/007 Build your own spam detector - the code.mp4 13.1 MB
  • 01 Natural Language Processing - What is it used for/002 NLP Applications.mp4 11.4 MB
  • 01 Natural Language Processing - What is it used for/005 How to Succeed in this Course.mp4 9.2 MB
  • 04 NLTK Exploration/013 NLTK Exploration Named Entity Recognition.mp4 7.0 MB
  • 03 Build your own sentiment analyzer/009 Description of Sentiment Analyzer.mp4 5.9 MB
  • 01 Natural Language Processing - What is it used for/001 Introduction and Outline.mp4 5.1 MB
  • 06 Write your own article spinner/017 Article Spinning Introduction.mp4 4.9 MB
  • 07 How to learn more about NLP/020 What we didnt talk about.mp4 4.5 MB
  • 04 NLTK Exploration/012 NLTK Exploration Stemming and Lemmatization.mp4 4.2 MB
  • 05 Latent Semantic Analysis/014 Latent Semantic Analysis - What does it do.mp4 4.1 MB
  • 01 Natural Language Processing - What is it used for/003 Why is NLP hard.mp4 4.1 MB
  • 06 Write your own article spinner/018 Trigram Model.mp4 4.0 MB
  • 01 Natural Language Processing - What is it used for/004 The Central Message of this Course.mp4 3.9 MB
[磁力链接] 添加时间:2021-03-16 大小:292.3 MB 最近下载:2025-08-23 热度:1561

[ DevCourseWeb.com ] Udemy - Excel for Data Science and Machine Learning

  • ~Get Your Files Here !/4. Logistic Regression/4. Applying Logistic Regression in Excel.mp4 111.8 MB
  • ~Get Your Files Here !/4. Logistic Regression/7. Understanding the Logistic Regression Summary (Part 2).mp4 98.4 MB
  • ~Get Your Files Here !/2. Simple Linear Regression/9. Interpreting Regression Tables (Part 2).mp4 98.0 MB
  • ~Get Your Files Here !/1. Introduction/1. What Is Machine Learning.mp4 93.8 MB
  • ~Get Your Files Here !/2. Simple Linear Regression/7. Interpreting Regression Tables (Part 1).mp4 89.3 MB
  • ~Get Your Files Here !/3. Multiple Linear Regression/2. Multiple Linear Regression (Example).mp4 87.2 MB
  • ~Get Your Files Here !/3. Multiple Linear Regression/3. Mutiple Linear Regression (Results).mp4 80.5 MB
  • ~Get Your Files Here !/2. Simple Linear Regression/10. Interpreting Regression Tables (Part 3).mp4 78.1 MB
  • ~Get Your Files Here !/2. Simple Linear Regression/5. First Regression in Excel.mp4 74.7 MB
  • ~Get Your Files Here !/4. Logistic Regression/2. From Linear to Logistic Regression.mp4 71.9 MB
  • ~Get Your Files Here !/4. Logistic Regression/8. ROC Curve.mp4 59.6 MB
  • ~Get Your Files Here !/3. Multiple Linear Regression/10. Dummy Variables.mp4 57.7 MB
  • ~Get Your Files Here !/4. Logistic Regression/6. Logistic Regression with XReal.mp4 56.8 MB
  • ~Get Your Files Here !/1. Introduction/2. Types of Machine Learning.mp4 48.7 MB
  • ~Get Your Files Here !/3. Multiple Linear Regression/11. Making Predictions Using Linear Regression.mp4 44.8 MB
  • ~Get Your Files Here !/3. Multiple Linear Regression/7. OLS Assumptions Normality and Homoscedasticity.mp4 35.2 MB
  • ~Get Your Files Here !/2. Simple Linear Regression/2. Linear Regression.mp4 32.0 MB
  • ~Get Your Files Here !/3. Multiple Linear Regression/9. OLS Assumptions No Multicollinearity.mp4 29.6 MB
  • ~Get Your Files Here !/4. Logistic Regression/5. Interpreting Regression Coefficients.mp4 29.3 MB
  • ~Get Your Files Here !/4. Logistic Regression/9. Underfitting and Overfitting.mp4 28.5 MB
[磁力链接] 添加时间:2022-02-28 大小:1.6 GB 最近下载:2025-08-23 热度:957

[DesireCourse.Net] Udemy - The Data Science Course 2020 Complete Data Science Bootcamp

  • 16. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4 168.2 MB
  • 12. Probability - Distributions/29. A Practical Example of Probability Distributions.mp4 165.5 MB
  • 11. Probability - Bayesian Inference/22. A Practical Example of Bayesian Inference.mp4 152.2 MB
  • 40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4 151.4 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4 145.0 MB
  • 10. Probability - Combinatorics/20. A Practical Example of Combinatorics.mp4 140.8 MB
  • 3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4 133.0 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4 131.2 MB
  • 56. Software Integration/5. Taking a Closer Look at APIs.mp4 121.2 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 117.1 MB
  • 2. The Field of Data Science - The Various Data Science Disciplines/7. Continuing with BI, ML, and AI.mp4 114.3 MB
  • 56. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4 109.1 MB
  • 6. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4 108.6 MB
  • 55. Appendix Deep Learning - TensorFlow 1 Business Case/4. Business Case Preprocessing.mp4 108.4 MB
  • 19. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4 107.7 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 104.2 MB
  • 13. Probability - Probability in Other Fields/1. Probability in Finance.mp4 103.9 MB
  • 35. Advanced Statistical Methods - Practical Example Linear Regression/1. Practical Example Linear Regression (Part 1).mp4 101.8 MB
  • 20. Statistics - Hypothesis Testing/1. Null vs Alternative Hypothesis.mp4 96.5 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/7. Business Intelligence (BI) Techniques.mp4 94.3 MB
[磁力链接] 添加时间:2021-03-31 大小:16.4 GB 最近下载:2025-08-23 热度:3327

[DesireCourse.Net] Udemy - R Programming for Statistics and Data Science 2020

  • 11. Hypothesis Testing/1. Distributions.mp4 112.1 MB
  • 11. Hypothesis Testing/3. Hypothesis testing.mp4 86.2 MB
  • 11. Hypothesis Testing/2. Standard Error and Confidence Intervals.mp4 68.8 MB
  • 11. Hypothesis Testing/7. The P-value.mp4 63.6 MB
  • 11. Hypothesis Testing/5. Test for the mean - population variance known.mp4 61.5 MB
  • 12. Linear Regression Analysis/1. The linear regression model.mp4 60.3 MB
  • 11. Hypothesis Testing/8. Test for the mean - Population variance unknown.mp4 57.4 MB
  • 6. Fundamentals of programming with R/16. Building a function in R 2.0 - Scoping.mp4 54.3 MB
  • 12. Linear Regression Analysis/5. How to interpret the regression table.mp4 52.7 MB
  • 5. Matrices/18. Lists in R.mp4 52.7 MB
  • 11. Hypothesis Testing/10. Comparing two means - Dependent samples.mp4 51.6 MB
  • 12. Linear Regression Analysis/7. Decomposition of variability SST, SSR, SSE.mp4 51.6 MB
  • 1. Introduction/1. Ten Things You Will Learn in This Course.mp4 51.3 MB
  • 11. Hypothesis Testing/12. Comparing two means - Independent samples.mp4 46.5 MB
  • 3. The building blocks of R/1. Creating an object in R.mp4 46.1 MB
  • 11. Hypothesis Testing/4. Type I and Type II errors.mp4 43.7 MB
  • 12. Linear Regression Analysis/4. First regression in R.mp4 39.8 MB
  • 12. Linear Regression Analysis/8. R-squared.mp4 36.1 MB
  • 6. Fundamentals of programming with R/15. Building a function in R 2.0.mp4 33.3 MB
  • 5. Matrices/14. Categorical data.mp4 32.3 MB
[磁力链接] 添加时间:2021-03-25 大小:1.9 GB 最近下载:2025-08-23 热度:3587

[FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 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
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 90.7 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
  • 18. K Nearest Neighbors/4. KNN Project Solutions.mp4 74.3 MB
  • 26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 74.2 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 74.1 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
[磁力链接] 添加时间:2021-03-16 大小:6.0 GB 最近下载:2025-08-23 热度:2366

[ DevCourseWeb.com ] Udemy - Mastering Data Science, Machine Learning, and AI

  • ~Get Your Files Here !/10. Ethics and Bias in AI/1. The impact of AI on society and ethics.mp4 29.7 MB
  • ~Get Your Files Here !/11. Conclusion/2. Opportunities and challenges in data science, machine learning, and AI.mp4 29.6 MB
  • ~Get Your Files Here !/1. Introduction to Data Science/2. The process of data science and its different stages.mp4 28.6 MB
  • ~Get Your Files Here !/1. Introduction to Data Science/3. Different fields that use data science and examples of real-world applications.mp4 27.7 MB
  • ~Get Your Files Here !/9. Artificial Intelligence/2. Types of artificial intelligence and their applications.mp4 27.0 MB
  • ~Get Your Files Here !/1. Introduction to Data Science/4. Overview of the tools and techniques used in data science.mp4 26.3 MB
  • ~Get Your Files Here !/4. Statistical Modeling/1. Overview of statistics and probability.mp4 26.3 MB
  • ~Get Your Files Here !/5. Machine Learning/2. Different types of machine learning algorithms.mp4 25.6 MB
  • ~Get Your Files Here !/2. Data Collection and Preprocessing/1. Sources of data and methods of collecting data.mp4 24.6 MB
  • ~Get Your Files Here !/11. Conclusion/3. Suggestions for further learning and resources.mp4 24.3 MB
  • ~Get Your Files Here !/3. Exploratory Data Analysis/1. Univariate and multivariate analysis.mp4 23.9 MB
  • ~Get Your Files Here !/3. Exploratory Data Analysis/3. Identifying relationships and patterns in data.mp4 23.2 MB
  • ~Get Your Files Here !/2. Data Collection and Preprocessing/2. Understanding and cleaning data.mp4 22.9 MB
  • ~Get Your Files Here !/2. Data Collection and Preprocessing/4. Feature engineering and selection.mp4 21.7 MB
  • ~Get Your Files Here !/7. Unsupervised Learning/2. Dimensionality reduction.mp4 20.5 MB
  • ~Get Your Files Here !/8. Reinforcement Learning/3. Policy gradient methods.mp4 20.2 MB
  • ~Get Your Files Here !/9. Artificial Intelligence/1. Definition and history of artificial intelligence.mp4 19.6 MB
  • ~Get Your Files Here !/4. Statistical Modeling/4. Model evaluation and selection.mp4 19.4 MB
  • ~Get Your Files Here !/3. Exploratory Data Analysis/2. Data visualization techniques.mp4 19.2 MB
  • ~Get Your Files Here !/7. Unsupervised Learning/3. Anomaly detection.mp4 19.0 MB
[磁力链接] 添加时间:2024-01-26 大小:768.0 MB 最近下载:2025-08-23 热度:748

Udemy - R Programming Advanced Analytics In R For Data Science

  • 2. Data Preparation/3. Updates on Udemy Reviews.mp4 61.2 MB
  • 3. Lists in R/2. Project Brief Machine Utilization.mp4 55.7 MB
  • 4. Apply Family of Functions/15. THANK YOU bonus video.mp4 54.8 MB
  • 2. Data Preparation/17. Replacing Missing Data Median Imputation Method (Part 1).mp4 51.3 MB
  • 2. Data Preparation/11. An Elegant Way To Locate Missing Data.mp4 50.8 MB
  • 2. Data Preparation/9. Dealing with Missing Data.mp4 44.6 MB
  • 2. Data Preparation/15. Reseting the dataframe index.mp4 41.1 MB
  • 4. Apply Family of Functions/7. Using lapply().mp4 40.6 MB
  • 3. Lists in R/4. Handling Date-Times in R.mp4 40.5 MB
  • 3. Lists in R/10. Creating A Timeseries Plot.mp4 40.1 MB
  • 3. Lists in R/5. R programming What is a List.mp4 37.7 MB
  • 4. Apply Family of Functions/10. Using sapply().mp4 36.6 MB
  • 2. Data Preparation/8. gsub() and sub().mp4 34.7 MB
  • 3. Lists in R/8. Adding and deleting components.mp4 34.1 MB
  • 4. Apply Family of Functions/12. which.max() and which.min() (advanced topic).mp4 34.0 MB
  • 2. Data Preparation/21. Visualizing results.mp4 33.4 MB
  • 2. Data Preparation/12. Data Filters which() for Non-Missing Data.mp4 31.4 MB
  • 2. Data Preparation/5. What are Factors (Refresher).mp4 30.6 MB
  • 1. Welcome To The Course/1. Welcome to the Advanced R Programming Course!.mp4 30.5 MB
  • 4. Apply Family of Functions/3. Import Data into R.mp4 29.4 MB
[磁力链接] 添加时间:2021-03-11 大小:1.4 GB 最近下载:2025-08-23 热度:4787

[DesireCourse.Net] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

  • 26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 358.6 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 344.8 MB
  • 27. Homework Solutions/3. ETL Error Handling (Phases 1 and 2).mp4 342.2 MB
  • 27. Homework Solutions/4. ETL Error Handling Vehicle Service Project (Part 1 of 3).mp4 301.9 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/8. SSIS Error Data truncation.mp4 280.5 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/6. What do you do when your source file is corrupt (Part 1).mp4 269.6 MB
  • 27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 242.7 MB
  • 26. Presenting for Data Scientists/5. REAL Data Science Presentation Walkthrough - Make Your Audience Say WOW.mp4 241.7 MB
  • 13. Assessing your model/4. How to build a CAP curve in Excel.mp4 223.4 MB
  • 22. ETL Phase 3 Data Wrangling after the load/11. Create the proc for the second file.mp4 217.0 MB
  • 23. Handling errors during ETL (Phase 3)/3. Upload the data to RAW table.mp4 207.4 MB
  • 26. Presenting for Data Scientists/7. How to present to executives.mp4 207.1 MB
  • 25. Working with people/6. The art of saying No.mp4 206.0 MB
  • 22. ETL Phase 3 Data Wrangling after the load/16. What you can do with these tables going forward [drv files etc.].mp4 199.0 MB
  • 10. Multiple Linear Regression/8. Backward Elimination - Practice time.mp4 196.0 MB
  • 25. Working with people/8. Building a data culture.mp4 194.2 MB
  • 26. Presenting for Data Scientists/10. Bonus my full presentation LIVE 2015.mp4 188.3 MB
  • 27. Homework Solutions/5. ETL Error Handling Vehicle Service Project (Part 2 of 3).mp4 181.9 MB
  • 12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4 179.7 MB
  • 10. Multiple Linear Regression/10. Interpreting coefficients of MLR.mp4 176.9 MB
[磁力链接] 添加时间:2021-03-15 大小:15.9 GB 最近下载:2025-08-23 热度:2168

[GigaCourse.Com] Udemy - The Data Science Course 2021 Complete Data Science Bootcamp

  • 16. Statistics - Practical Example Descriptive Statistics/1. Practical Example Descriptive Statistics.mp4 168.2 MB
  • 12. Probability - Distributions/29. A Practical Example of Probability Distributions.mp4 165.5 MB
  • 11. Probability - Bayesian Inference/22. A Practical Example of Bayesian Inference.mp4 152.2 MB
  • 40. Part 6 Mathematics/16. Why is Linear Algebra Useful.mp4 151.3 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/1. Techniques for Working with Traditional Data.mp4 145.0 MB
  • 10. Probability - Combinatorics/20. A Practical Example of Combinatorics.mp4 140.8 MB
  • 3. The Field of Data Science - Connecting the Data Science Disciplines/1. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4 133.0 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/15. Types of Machine Learning.mp4 131.2 MB
  • 56. Software Integration/5. Taking a Closer Look at APIs.mp4 121.2 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/10. Techniques for Working with Traditional Methods.mp4 117.1 MB
  • 2. The Field of Data Science - The Various Data Science Disciplines/7. Continuing with BI, ML, and AI.mp4 114.3 MB
  • 56. Software Integration/3. What are Data Connectivity, APIs, and Endpoints.mp4 109.1 MB
  • 6. The Field of Data Science - Popular Data Science Tools/1. Necessary Programming Languages and Software Used in Data Science.mp4 108.5 MB
  • 55. Appendix Deep Learning - TensorFlow 1 Business Case/4. Business Case Preprocessing.mp4 108.4 MB
  • 19. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4 107.6 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 104.2 MB
  • 13. Probability - Probability in Other Fields/1. Probability in Finance.mp4 103.9 MB
  • 35. Advanced Statistical Methods - Practical Example Linear Regression/1. Practical Example Linear Regression (Part 1).mp4 101.8 MB
  • 20. Statistics - Hypothesis Testing/1. Null vs Alternative Hypothesis.mp4 96.5 MB
  • 5. The Field of Data Science - Popular Data Science Techniques/7. Business Intelligence (BI) Techniques.mp4 94.3 MB
[磁力链接] 添加时间:2024-02-08 大小:16.4 GB 最近下载:2025-08-23 热度:301

[ TutPig.com ] Udemy - Guide to Careers in Data Science - Interview Hacks (2021)

  • ~Get Your Files Here !/6. Expertise & Readiness/3. Do's and Don'ts of Preparation.mp4 30.1 MB
  • ~Get Your Files Here !/1. Introduction/1. Course Overview.mp4 28.4 MB
  • ~Get Your Files Here !/3. Data Science Job Outline/3. Job Titles in Data Science.mp4 23.8 MB
  • ~Get Your Files Here !/7. The Interview/2. 4 Mantras for Guaranteed Success.mp4 21.4 MB
  • ~Get Your Files Here !/3. Data Science Job Outline/1. Why choose a Career in Data Science.mp4 18.8 MB
  • ~Get Your Files Here !/4. Creating an Effective Resume/1. Important Elements to focus on.mp4 15.6 MB
  • ~Get Your Files Here !/10. Machine Learning Questions and Answers/1. Question and Answer 1.mp4 15.5 MB
  • ~Get Your Files Here !/3. Data Science Job Outline/6. Framework of a Typical Data Science Project.mp4 14.7 MB
  • ~Get Your Files Here !/14. Guesstimation Questions and Answers/2. Question and Answer 2.mp4 14.5 MB
  • ~Get Your Files Here !/16. Tricky Questions and Answers/5. Question and Answer 5.mp4 13.4 MB
  • ~Get Your Files Here !/5. Efficiently searching Data Science job/3. Getting Referrals.mp4 12.5 MB
  • ~Get Your Files Here !/9. Probability Questions and Answers/9. Question and Answer 9.mp4 11.8 MB
  • ~Get Your Files Here !/16. Tricky Questions and Answers/1. Question and Answer 1.mp4 11.2 MB
  • ~Get Your Files Here !/5. Efficiently searching Data Science job/4. PRO Tip.mp4 11.0 MB
  • ~Get Your Files Here !/14. Guesstimation Questions and Answers/1. Question and Answer 1.mp4 10.9 MB
  • ~Get Your Files Here !/4. Creating an Effective Resume/4. Negative Elements.mp4 10.4 MB
  • ~Get Your Files Here !/14. Guesstimation Questions and Answers/3. Question and Answer 3.mp4 9.9 MB
  • ~Get Your Files Here !/8. Statistics Questions and Answers/5. Question and Answer 5.mp4 9.8 MB
  • ~Get Your Files Here !/15. Puzzles/4. Puzzle 4 with Answer.mp4 9.4 MB
  • ~Get Your Files Here !/9. Probability Questions and Answers/4. Question and Answer 4.mp4 9.3 MB
[磁力链接] 添加时间:2023-12-24 大小:725.0 MB 最近下载:2025-08-23 热度:1454

giga-course.-com-udemy-complete-machine-learning-data-science-bootcamp-2023

  • 9 - Scikitlearn Creating Machine Learning Models/114 - NEW Choosing The Right Model For Your Data.mp4 456.4 MB
  • 5 - Data Science Environment Setup/40 - Windows Environment Setup 2.mp4 437.1 MB
  • 9 - Scikitlearn Creating Machine Learning Models/137 - NEW Evaluating A Model With Cross Validation and Scoring Parameter.mp4 430.1 MB
  • 16 - Career Advice Extra Bits/268 - CWD Git Github.mp4 379.5 MB
  • 9 - Scikitlearn Creating Machine Learning Models/104 - Typical scikitlearn Workflow.mp4 352.2 MB
  • 9 - Scikitlearn Creating Machine Learning Models/105 - Optional Debugging Warnings In Jupyter.mp4 337.7 MB
  • 16 - Career Advice Extra Bits/262 - What If I Dont Have Enough Experience.mp4 327.3 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/239 - Training Your Deep Neural Network.mp4 311.7 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/181 - Feature Engineering.mp4 305.0 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/241 - Make And Transform Predictions.mp4 292.6 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/182 - Turning Data Into Numbers.mp4 278.7 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/228 - Turning Data Into Batches 2.mp4 278.7 MB
  • 5 - Data Science Environment Setup/37 - Mac Environment Setup.mp4 274.1 MB
  • 9 - Scikitlearn Creating Machine Learning Models/147 - Putting It All Together.mp4 273.8 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/192 - Preproccessing Our Data.mp4 271.4 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/194 - Feature Importance.mp4 266.3 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/244 - Visualizing And Evaluate Model Predictions 2.mp4 266.0 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/179 - Exploring Our Data.mp4 263.6 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/160 - Finding Patterns 3.mp4 260.8 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/248 - Making Predictions On Test Images.mp4 257.0 MB
[磁力链接] 添加时间:2023-12-30 大小:51.8 GB 最近下载:2025-08-23 热度:2070

[Tutorialsplanet.NET] Udemy - Probability for Statistics and Data Science

  • 4. Distributions/29. Practical Example Distributions.mp4 165.1 MB
  • 3. Bayesian Inference/22. Practical Example Bayesian Inference.mp4 152.0 MB
  • 2. Combinatorics/20. Practical Example Combinatorics.mp4 140.9 MB
  • 5. Tie-ins to Other Fields/1. Tie-ins to Finance.mp4 103.6 MB
  • 4. Distributions/3. What are the two main types of distributions based on the type of data we have.mp4 96.1 MB
  • 1. Introduction to Probability/2. What is the probability formula.mp4 90.0 MB
  • 4. Distributions/15. What is a Continuous Distribution.mp4 88.2 MB
  • 5. Tie-ins to Other Fields/2. Tie-ins to Statistics.mp4 80.9 MB
  • 1. Introduction to Probability/4. How to compute expected values.mp4 79.4 MB
  • 4. Distributions/1. What is a probability distribution.mp4 76.9 MB
  • 4. Distributions/11. What is the Binomial Distribution.mp4 72.2 MB
  • 5. Tie-ins to Other Fields/3. Tie-ins to Data Science.mp4 66.5 MB
  • 1. Introduction to Probability/6. What is a probability frequency distribution.mp4 64.6 MB
  • 1. Introduction to Probability/8. What is a complement.mp4 62.0 MB
  • 2. Combinatorics/11. What are combinations and how are they similar to variations.mp4 60.1 MB
  • 3. Bayesian Inference/7. What is the union of sets A and B.mp4 60.0 MB
  • 4. Distributions/13. What is the Poisson Distribution.mp4 58.5 MB
  • 1. Introduction to Probability/1. What does the course cover.mp4 55.2 MB
  • 3. Bayesian Inference/20. When do we use Bayes' Theorem in Real Life.mp4 52.4 MB
  • 4. Distributions/27. What is the Logistic Distribution.mp4 52.4 MB
[磁力链接] 添加时间:2021-03-16 大小:2.7 GB 最近下载:2025-08-23 热度:268

[GigaCourse.Com] Udemy - Data Science in R Be an Expert in Regression Analysis in R

  • 07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/005 Lab_ Machine Learning Models' Comparison & Best Model Selection.mp4 106.2 MB
  • 07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/004 Lab_ Random Forest in R.mp4 105.0 MB
  • 06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/002 Lab_ Polynomial regression in R.mp4 68.1 MB
  • 05 More types of regression models/001 Lab_ Multiple linear regression - model estimation.mp4 63.1 MB
  • 05 More types of regression models/005 ANOVA - Categorical variables with more than two levels in linear regressions.mp4 57.2 MB
  • 04 Linear Regression Analysis for Supervised Machine Learning in R/003 Your first linear regression model in R.mp4 55.9 MB
  • 07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/002 Lab_ Decision Trees in R.mp4 54.5 MB
  • 04 Linear Regression Analysis for Supervised Machine Learning in R/001 Overview of Regression Analysis.mp4 51.5 MB
  • 01 Introduction to the course, Machine Learning & Regression Analysis/002 Introduction to Regression Analysis.mp4 51.5 MB
  • 03 R Crash Course - get started with R-programming in R-Studio/006 Lab_ data types and data structures in R.mp4 50.4 MB
  • 02 Software used in this course R-Studio and Introduction to R/006 Lab_ Get started with R in RStudio.mp4 50.0 MB
  • 06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/005 Lab_ Generalized additive models in R.mp4 49.8 MB
  • 06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/004 Lab_ Spline regression in R.mp4 49.2 MB
  • 05 More types of regression models/003 Lab_ Multiple linear regression with interaction.mp4 46.7 MB
  • 04 Linear Regression Analysis for Supervised Machine Learning in R/006 Lab_ Linear Regression Diagnostics.mp4 45.3 MB
  • 02 Software used in this course R-Studio and Introduction to R/004 Lab_ Install R and RStudio in 2020.mp4 40.6 MB
  • 03 R Crash Course - get started with R-programming in R-Studio/007 Vectors' operations in R.mp4 37.7 MB
  • 01 Introduction to the course, Machine Learning & Regression Analysis/003 What is Machine Leraning and it's main types_.mp4 36.0 MB
  • 03 R Crash Course - get started with R-programming in R-Studio/012 Read Data into R.mp4 33.5 MB
  • 04 Linear Regression Analysis for Supervised Machine Learning in R/010 Prediction model evaluation with data split_ out-of-sample RMSE.mp4 32.7 MB
[磁力链接] 添加时间:2022-03-12 大小:1.6 GB 最近下载:2025-08-23 热度:1709

[DesireCourse.Net] Udemy - R Programming Advanced Analytics In R For Data Science

  • 02 Data Preparation/020 Replacing Missing Data Median Imputation Method (Part 1).mp4 65.0 MB
  • 03 Lists in R/027 Project Brief Machine Utilization.mp4 64.8 MB
  • 02 Data Preparation/006 Updates on Udemy Reviews.mp4 61.2 MB
  • 02 Data Preparation/014 An Elegant Way To Locate Missing Data.mp4 59.8 MB
  • 04 Apply Family of Functions/050 THANK YOU bonus video.mp4 54.8 MB
  • 03 Lists in R/029 Handling Date-Times in R.mp4 52.5 MB
  • 04 Apply Family of Functions/037 Welcome to this section. This is what you will learn.mp4 51.9 MB
  • 04 Apply Family of Functions/043 Using lapply().mp4 51.0 MB
  • 02 Data Preparation/004 Welcome to this section. This is what you will learn.mp4 50.1 MB
  • 01 Welcome To The Course/001 Welcome to the Advanced R Programming Course.mp4 48.4 MB
  • 03 Lists in R/035 Creating A Timeseries Plot.mp4 48.1 MB
  • 02 Data Preparation/012 Dealing with Missing Data.mp4 47.8 MB
  • 03 Lists in R/030 R programming What is a List.mp4 46.9 MB
  • 02 Data Preparation/011 gsub() and sub().mp4 46.1 MB
  • 02 Data Preparation/018 Reseting the dataframe index.mp4 46.0 MB
  • 04 Apply Family of Functions/046 Using sapply().mp4 45.7 MB
  • 04 Apply Family of Functions/048 which.max() and which.min() (advanced topic).mp4 42.4 MB
  • 02 Data Preparation/024 Visualizing results.mp4 42.0 MB
  • 03 Lists in R/033 Adding and deleting components.mp4 40.3 MB
  • 02 Data Preparation/008 What are Factors (Refresher).mp4 39.4 MB
[磁力链接] 添加时间:2021-06-10 大小:1.7 GB 最近下载:2025-08-22 热度:2735

[DesireCourse.Com] Udemy - Introduction To Data Science

  • 02-modeling-and-machine-learning/009-linear-regression-background.mp4 166.7 MB
  • 02-modeling-and-machine-learning/016-support-vector-machines.mp4 150.3 MB
  • 02-modeling-and-machine-learning/010-linear-regression-practice.mp4 149.7 MB
  • 03-data/023-the-shape-of-data.mp4 148.6 MB
  • 02-modeling-and-machine-learning/019-evaluating-models.mp4 148.2 MB
  • 03-data/024-dealing-with-categorical-variables.mp4 145.3 MB
  • 02-modeling-and-machine-learning/012-logistic-regression-practice.mp4 123.0 MB
  • 02-modeling-and-machine-learning/005-validating-models.mp4 118.1 MB
  • 03-data/025-useful-data-transformations.mp4 115.2 MB
  • 03-data/021-visualizing-data.mp4 114.8 MB
  • 04-moving-on/027-further-topics.mp4 114.2 MB
  • 03-data/022-missing-values.mp4 104.5 MB
  • 02-modeling-and-machine-learning/008-naive-bayes-practice.mp4 103.0 MB
  • 01-course-overview/003-starting-with-r-and-data.mp4 98.0 MB
  • 03-data/020-loading-data-in-r.mp4 90.8 MB
  • 02-modeling-and-machine-learning/007-naive-bayes-background.mp4 81.5 MB
  • 02-modeling-and-machine-learning/014-random-forest-practice.mp4 80.3 MB
  • 02-modeling-and-machine-learning/017-gradient-boosting.mp4 74.1 MB
  • 02-modeling-and-machine-learning/018-regularization-for-linear-and-logistic-regression.mp4 70.6 MB
  • 02-modeling-and-machine-learning/011-logistic-regression-background.mp4 64.6 MB
[磁力链接] 添加时间:2022-04-06 大小:2.6 GB 最近下载:2025-08-22 热度:2075

Udemy - Statistics for Data Science and Business Analysis [720p - WEB HD - H264 - AAC]

  • 17 Practical example_ regression analysis/087 Practical example_ regression analysis.mp4 44.5 MB
  • 05 Practical example_ descriptive statistics/025 Practical example.mp4 43.3 MB
  • 09 Practical example_ inferential statistics/049 Practical example_ inferential statistics.mp4 26.5 MB
  • 12 Practical example_ hypothesis testing/064 Practical example_ hypothesis testing.mp4 20.9 MB
  • 01 Introduction/001 What does the course cover_.mp4 13.3 MB
  • 07 Estimators and estimates/036 Calculating confidence intervals within a population with a known variance.mp4 13.1 MB
  • 14 Subtleties of regression analysis/078 Adjusted R-squared.mp4 12.5 MB
  • 08 Confidence intervals_ advanced topics/042 Calculating confidence intervals for two means with dependent samples.mp4 12.0 MB
  • 15 Assumptions for linear regression analysis/083 A3_ Normality and homoscedasticity.mp4 11.9 MB
  • 02 Sample or population data_/002 Understanding the difference between a population and a sample.mp4 11.9 MB
  • 03 The fundamentals of descriptive statistics/003 The various types of data we can work with.mp4 11.5 MB
  • 04 Measures of central tendency_ asymmetry_ and variability/019 Standard deviation and coefficient of variation.mp4 11.3 MB
  • 11 Hypothesis testing_ Let's start testing!/054 Test for the mean_ Population variance known.mp4 11.2 MB
  • 07 Estimators and estimates/038 Student's T distribution.mp4 10.7 MB
  • 07 Estimators and estimates/041 What is a margin of error and why is it important in Statistics_.mp4 10.7 MB
  • 04 Measures of central tendency_ asymmetry_ and variability/013 The main measures of central tendency_ mean_ median_ mode.mp4 10.5 MB
  • 13 The fundamentals of regression analysis/068 The linear regression model made easy.mp4 10.0 MB
  • 15 Assumptions for linear regression analysis/082 A2_ No endogeneity.mp4 9.9 MB
  • 10 Hypothesis testing_ Introduction/051 The null and the alternative hypothesis.mp4 9.8 MB
  • 06 Distributions/032 Understanding the central limit theorem.mp4 9.6 MB
[磁力链接] 添加时间:2021-04-26 大小:581.8 MB 最近下载:2025-08-22 热度:1220


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