data science -移花宫 -武林禁地，闲人禁止入内

[GigaCourse.com] 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 72.8 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:2021-03-22 大小:3.0 GB 最近下载:2025-06-01 热度:1573

[ FreeCourseWeb.com ] Oreilly - Data Science and Machine Learning Series- Using Python to Master the Concepts of Object Oriented Programming (OOP).zip

[ FreeCourseWeb.com ] Oreilly - Data Science and Machine Learning Series- Using Python to Master the Concepts of Object Oriented Programming (OOP).zip 358.6 MB

[磁力链接] 添加时间:2021-05-06 大小:358.6 MB 最近下载:2025-05-31 热度:1573

O'Reilly - Data Science at the Command Line

part00.mp4 411.1 MB

[磁力链接] 添加时间:2017-02-09 大小:411.1 MB 最近下载:2025-05-31 热度:1570

[ FreeCourseWeb.com ] Learn Python by Building Data Science Applications- A fun, project-based guide to learning Python 3 (True PDF, EPUB,MOBI).zip

[ FreeCourseWeb.com ] Learn Python by Building Data Science Applications- A fun, project-based guide to learning Python 3 (True PDF, EPUB,MOBI).zip 270.6 MB

[磁力链接] 添加时间:2021-04-05 大小:270.6 MB 最近下载:2025-05-27 热度:1564

[FreeCourseLab.com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass

23 Hierarchical Clustering/004 Hierarchical Clustering - Coding Part Two - Scikit-Learn.mp4 218.8 MB
05 Pandas/028 Pandas Project Exercise Solutions.mp4 181.0 MB
13 Logistic Regression/016 Logistic Regression Project Exercise - Solutions.mp4 152.6 MB
08 Data Analysis and Visualization Capstone Project Exercise/004 Capstone Project Solutions - Part Three.mp4 143.9 MB
17 Random Forests/007 Coding Classification with Random Forest Classifier - Part Two.mp4 136.7 MB
05 Pandas/026 Pandas Pivot Tables.mp4 135.0 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/007 DBSCAN - Outlier Project Exercise Solutions.mp4 134.2 MB
11 Feature Engineering and Data Preparation/003 Dealing with Outliers.mp4 126.5 MB
11 Feature Engineering and Data Preparation/005 Dealing with Missing Data _ Part Two - Filling or Dropping data based on Rows.mp4 123.3 MB
16 Tree Based Methods_ Decision Tree Learning/008 Coding Decision Trees - Part Two -Creating the Model.mp4 121.5 MB
23 Hierarchical Clustering/003 Hierarchical Clustering - Coding Part One - Data and Visualization.mp4 120.4 MB
07 Seaborn Data Visualizations/002 Scatterplots with Seaborn.mp4 116.5 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/002 DBSCAN - Theory and Intuition.mp4 114.4 MB
20 Naive Bayes Classification and Natural Language Processing (Supervised Learning)/010 Text Classification Project Exercise Solutions.mp4 113.3 MB
22 K-Means Clustering/011 K-Means Clustering Exercise Solution - Part Two.mp4 113.1 MB
08 Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two.mp4 111.4 MB
06 Matplotlib/011 Matplotlib Exercise Questions - Solutions.mp4 111.0 MB
07 Seaborn Data Visualizations/014 Seaborn Plot Exercises Solutions.mp4 110.8 MB
11 Feature Engineering and Data Preparation/006 Dealing with Missing Data _ Part 3 - Fixing data based on Columns.mp4 110.4 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/005 DBSCAN - Hyperparameter Tuning Methods.mp4 110.2 MB

[磁力链接] 添加时间:2022-02-07 大小:11.3 GB 最近下载:2025-05-30 热度:1562

GetFreeCourses.Co-Udemy-Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn

15. Module 15 Real World Data Analysis Example/5. Housing Dataset Analysis -Part Five.mp4 41.9 MB
1. Introduction/2. How to Download Course Notebooks.mp4 39.9 MB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/1. Merging Datasets on Keys (common columns).mp4 38.7 MB
4. Module 4 Data Structures And Sequences In Python/2. List.mp4 38.1 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/13. Scatter Plots and Pair Plots.mp4 37.5 MB
6. Module 6 NumPy Arrays/10. Mathematical and Statistical Methods.mp4 37.1 MB
7. Module 7 Pandas Dataframe/2. Dataframe in Pandas.mp4 35.6 MB
14. Module 14 Time Series/6. Handling Time Zone.mp4 35.1 MB
14. Module 14 Time Series/5. Shifting Data Through Time (Lagging and Leading).mp4 34.8 MB
14. Module 14 Time Series/3. Basics of Time Series.mp4 34.4 MB
15. Module 15 Real World Data Analysis Example/4. Housing Dataset Analysis -Part Four.mp4 33.5 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/7. Adding Annotations and Drawings on a Plot.mp4 33.1 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/2. Creating Figures and Subplots.mp4 32.7 MB
10. Module 10 Data Wrangling1 Hierarchical Indexing/1. Hierarchical Indexing.mp4 32.7 MB
6. Module 6 NumPy Arrays/2. Creating Ndarrays.mp4 32.7 MB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/3. Concatenating Along an Axis.mp4 31.6 MB
14. Module 14 Time Series/8. Rolling and Moving Windows.mp4 31.2 MB
15. Module 15 Real World Data Analysis Example/3. Housing Dataset Analysis -Part Three.mp4 31.2 MB
14. Module 14 Time Series/4. Generating Date Ranges.mp4 30.9 MB
12. Module 12 Data Wrangling3 Reshaping and Pivoting/3. Reshaping by Pivoting (Long to Wide).mp4 30.3 MB

[磁力链接] 添加时间:2022-01-10 大小:2.1 GB 最近下载:2025-05-29 热度:1557

[FreeCourseSite.com] Udemy - Complete 2020 Data Science & Machine Learning Bootcamp

4. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
4. 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
5. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4 246.8 MB
3. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.3 MB
12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4 234.1 MB
4. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.6 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 MB
5. 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
8. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 215.3 MB
8. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
4. 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
12. Serving a Tensorflow Model through a Website/7. Loading a Tensorflow.js Model and Starting your own Server.mp4 197.2 MB
12. Serving a Tensorflow Model through a Website/9. Styling an HTML Canvas.mp4 196.5 MB
12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4 181.2 MB
12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4 180.3 MB

[磁力链接] 添加时间:2021-03-14 大小:18.4 GB 最近下载:2025-05-22 热度:1552

[GigaCourse.Com] Udemy - Data Science Masterclass 2021 Build 30 Real World Projects

16. Project-15 Cats Vs Dogs Image Classification App/2. Creating Project Notebook.mp4 256.2 MB
18. Project-17 Gender From Voice Prediction/2. Creating Project Notebook.mp4 254.7 MB
19. Project-18 Restaurant Recommendation System/4. Data Analysis 2.mp4 254.6 MB
20. Project-19 Check Happiness Ranking Using Machine Learning/2. Project Notebook.mp4 252.2 MB
13. Project-12 Attrition Rate Django App/2. Creating Colab Notebook.mp4 224.2 MB
21. Project-20 Predicting Forest Fire - Machine Learning/2. Project Notebook.mp4 217.2 MB
17. Project-16 Customer Revenue Prediction/2. Colab Notebook.mp4 211.5 MB
21. Project-20 Predicting Forest Fire - Machine Learning/6.1 Forest Fires App -Code.zip 196.6 MB
16. Project-15 Cats Vs Dogs Image Classification App/6.1 Cats Vs Dogs App Code.zip 189.4 MB
14. Project-13 Project To Find Legendary Pokemon/2. Creating Colab Notebook.mp4 185.8 MB
30. Project-29 Customer Churning Prediction/3. data visualization.mp4 168.3 MB
30. Project-29 Customer Churning Prediction/4. Model building.mp4 154.4 MB
12. Project-11 Sentiment Analysis Using Logistic Regression/2. Project Notebook Google Colab.mp4 147.7 MB
20. Project-19 Check Happiness Ranking Using Machine Learning/3. Creating Django App.mp4 145.1 MB
29. Project-28 Covid-19 Case Analysis/4. Data Analysis part2.mp4 141.5 MB
9. Project-8 Create A Face Swapping Application/3. Data preprocessing and creating output.mp4 133.7 MB
28. Project-27 Air Quality Prediction/6. Model building part1.mp4 129.4 MB
29. Project-28 Covid-19 Case Analysis/2. data preprocessing.mp4 124.9 MB
17. Project-16 Customer Revenue Prediction/3. Creating Flask App.mp4 123.7 MB
21. Project-20 Predicting Forest Fire - Machine Learning/4. Creating Django App.mp4 122.8 MB

[磁力链接] 添加时间:2022-01-14 大小:11.7 GB 最近下载:2025-05-17 热度:1550

Complete 2020 Data Science and Machine Learning Bootcamp [UdemyLibrary.com]

Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
Course/5. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
Course/12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4 246.8 MB
Course/3. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.3 MB
Course/12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4 234.1 MB
Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.6 MB
Course/10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 MB
Course/5. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
Course/11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 215.3 MB
Course/8. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
Course/4. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
Course/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
Course/12. Serving a Tensorflow Model through a Website/7. Loading a Tensorflow.js Model and Starting your own Server.mp4 197.2 MB
Course/12. Serving a Tensorflow Model through a Website/9. Styling an HTML Canvas.mp4 196.5 MB
Course/12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4 181.2 MB
Course/12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4 180.3 MB

[磁力链接] 添加时间:2022-01-09 大小:18.4 GB 最近下载:2025-05-31 热度:1547

[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

[ DevCourseWeb.com ] Udemy - Python and Google Trends - Best for Data Science and Marketing

~Get Your Files Here !/3. Marketing Insights with Python and Google Trends/2. An Advanced Example Cryptocurrency Trends Analysis.mp4 41.1 MB
~Get Your Files Here !/2. Access to Google Trends data using Python/2. A Practical Guide to PyTrends and Matplotlib Part 1.mp4 29.4 MB
~Get Your Files Here !/1. Introduction/1. Introduction.mp4 24.8 MB
~Get Your Files Here !/3. Marketing Insights with Python and Google Trends/1. A Marketing Example.mp4 24.3 MB
~Get Your Files Here !/2. Access to Google Trends data using Python/3. A Practical Guide to PyTrends and Matplotlib Part2.mp4 23.0 MB
~Get Your Files Here !/1. Introduction/2. Installing Requirements.mp4 11.1 MB
~Get Your Files Here !/2. Access to Google Trends data using Python/1. Connecting to Google.mp4 8.7 MB
~Get Your Files Here !/3. Marketing Insights with Python and Google Trends/2. An Advanced Example Cryptocurrency Trends Analysis.srt 7.8 kB
~Get Your Files Here !/3. Marketing Insights with Python and Google Trends/1. A Marketing Example.srt 6.4 kB
~Get Your Files Here !/2. Access to Google Trends data using Python/2. A Practical Guide to PyTrends and Matplotlib Part 1.srt 5.5 kB
~Get Your Files Here !/1. Introduction/1. Introduction.srt 4.6 kB
~Get Your Files Here !/2. Access to Google Trends data using Python/3. A Practical Guide to PyTrends and Matplotlib Part2.srt 3.7 kB
~Get Your Files Here !/2. Access to Google Trends data using Python/1. Connecting to Google.srt 2.2 kB
~Get Your Files Here !/1. Introduction/2. Installing Requirements.srt 1.5 kB
~Get Your Files Here !/Bonus Resources.txt 386 Bytes
Get Bonus Downloads Here.url 182 Bytes

[磁力链接] 添加时间:2023-12-18 大小:162.4 MB 最近下载:2025-06-01 热度:1544

GetFreeCourses.Co-Udemy-Complete 2022 Data Science & Machine Learning Bootcamp

04. Introduction to Optimisation and the Gradient Descent Algorithm/08. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/06. [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
12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4 246.8 MB
03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.3 MB
12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4 234.1 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/09. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.6 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 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 3/06. 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/09. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
12. Serving a Tensorflow Model through a Website/07. Loading a Tensorflow.js Model and Starting your own Server.mp4 197.2 MB
12. Serving a Tensorflow Model through a Website/09. Styling an HTML Canvas.mp4 196.5 MB
12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4 181.2 MB
12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4 180.3 MB

[磁力链接] 添加时间:2022-02-15 大小:18.4 GB 最近下载:2025-05-31 热度:1543

[ FreeCourseWeb.com ] Udemy - Spatial Analysis & Geospatial Data Science in Python.zip

[ FreeCourseWeb.com ] Udemy - Spatial Analysis & Geospatial Data Science in Python.zip 818.4 MB

[磁力链接] 添加时间:2021-03-19 大小:818.4 MB 最近下载:2025-05-28 热度:1542

[ DevCourseWeb.com ] Numerical Methods Using Java - For Data Science, Analysis, and Engineering

~Get Your Files Here !/Numerical Methods Using Java 2022.epub 65.2 MB
~Get Your Files Here !/Numerical Methods Using Java 2022.pdf 29.1 MB
~Get Your Files Here !/Bonus Resources.txt 386 Bytes
Get Bonus Downloads Here.url 182 Bytes

[磁力链接] 添加时间:2022-01-14 大小:94.3 MB 最近下载:2025-05-27 热度:1539

[ FreeCourseWeb.com ] SkillShare - Data Science and Machine Learning Prerequisite - Mathematics.zip

[ FreeCourseWeb.com ] SkillShare - Data Science and Machine Learning Prerequisite - Mathematics.zip 151.0 MB

[磁力链接] 添加时间:2022-03-31 大小:151.0 MB 最近下载:2025-06-01 热度:1532

[GigaCourse.com] 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:2021-03-09 大小:2.7 GB 最近下载:2025-06-01 热度:1528

AI-Data Science Movies

Chappie.2015.1080p.BluRay.x264.anoXmous/Chappie.2015.1080p.BluRay.x264.anoXmous.mp4 2.5 GB
Margin Call 2011.True.1080p.BluRay.x264 . NVEE/Margin Call 2011.True.1080p.BluRay.x264 . NVEE.mp4 2.3 GB
Surrogates (2009) [1080p]/Surrogates.2009.1080p.BrRip.x264.YIFY+HI.mp4 1.3 GB
Ex Machina 2015 720p BRRip x264-RLSM/Ex.Machina.2015.720p.BRRip.x264-RLSM.mkv 1.2 GB
Artificial Intelligence (2001)/Artificial.Intelligence.2001.720p.BrRip.x264.YIFY.mp4 997.2 MB
Her (2013)/Her.2013.720p.BluRay.x264.YIFY.mp4 917.3 MB
A Beautiful Mind (2001)/A.Beautiful.Mind.2001.1080p.BrRip.x264.YIFY.mkv-muxeddddfdf.mp4 840.4 MB
Blade.Runner (1997)/Blade.Runner.Final.Cut.1997.720p.BluRay.x264.YIFY.mp4 736.5 MB
21 (2008)/21_Twenty_One_the_Movie_2008.mkv 579.0 MB
Her (2013)/Her.2013.BluRay.x264-YIFY.srt 207.2 kB
Chappie.2015.1080p.BluRay.x264.anoXmous/Chappie.2015.1080p.BluRay.x264.anoXmous_eng.srt 147.9 kB
21 (2008)/21_Twenty_One_the_Movie_2008.srt 113.6 kB
A Beautiful Mind (2001)/A.Beautiful.Mind.2001.1080p.BrRip.x264.YIFY.srt 102.6 kB
Margin Call 2011.True.1080p.BluRay.x264 . NVEE/Margin Call 2011.True.1080p.BluRay.x264 . NVEE_English.srt 101.2 kB
Artificial Intelligence (2001)/Artificial.Intelligence.2001.720p.BrRip.x264.YIFY.srt 82.7 kB
Ex Machina 2015 720p BRRip x264-RLSM/Ex.Machina.2015.720p.BluRay.x264-SPARKS.srt 80.5 kB
Surrogates (2009) [1080p]/Surrogates.2009.1080p.BrRip.x264.YIFY+HI.srt 64.2 kB
Blade.Runner (1997)/Blade-Runner-Final-Cut-1997-720p-BluRay-x264-YIFY.srt 55.3 kB

[磁力链接] 添加时间:2017-02-12 大小:11.5 GB 最近下载:2025-05-30 热度:1519

[DesireCourse.Com] Udemy - Statistics for Data Science using Python

[DesireCourse.Com] Udemy - Statistics for Data Science using Python.zip 1.3 GB
[DesireCourse.Com].txt 828 Bytes
[DesireCourse.Com].url 51 Bytes

[磁力链接] 添加时间:2018-11-13 大小:1.3 GB 最近下载:2025-05-29 热度:1517

[FreeCourseSite.com] Udemy - Machine Learning, Data Science and Deep Learning with Python

2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4 140.5 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations with Item-Based Collaborative Filtering.mp4 139.0 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4 134.5 MB
2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4 131.2 MB
1. Getting Started/11. Introducing the Pandas Library [Optional].mp4 129.1 MB
10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.mp4 124.0 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 123.6 MB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 122.4 MB
10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4 120.9 MB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 119.6 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 117.4 MB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 115.1 MB
5. Recommender Systems/3. [Activity] Finding Movie Similarities using Cosine Similarity.mp4 113.1 MB

[磁力链接] 添加时间:2021-03-10 大小:8.2 GB 最近下载:2025-04-27 热度:1517

[UdemyCourseDownloader] Data Science Natural Language Processing (NLP) in Python

10. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.5 MB
09. Machine Learning Basics Review/3. (Review) Classification in Code.mp4 146.3 MB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
06. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.mp4 82.0 MB
04. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.mp4 81.5 MB
09. Machine Learning Basics Review/2. (Review) What is Classification.mp4 74.1 MB
09. Machine Learning Basics Review/5. (Review) Regression in Code.mp4 72.7 MB
09. Machine Learning Basics Review/9. (Review) Comparing Different Machine Learning Models.mp4 56.2 MB
09. Machine Learning Basics Review/4. (Review) What is Regression.mp4 52.0 MB
09. Machine Learning Basics Review/1. (Review) Machine Learning Section Introduction.mp4 47.0 MB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
04. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression.mp4 45.7 MB
09. Machine Learning Basics Review/10. (Review) Machine Learning and Deep Learning Future Topics.mp4 42.8 MB
03. Build your own spam detector/4. Naive Bayes Concepts.mp4 41.6 MB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
09. Machine Learning Basics Review/6. (Review) What is a Feature Vector.mp4 39.8 MB
10. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
07. Write your own article spinner/2. More about Language Models.mp4 38.4 MB
03. Build your own spam detector/3. Key Takeaway from Spam Detection Exercise.mp4 32.1 MB
10. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB

[磁力链接] 添加时间:2021-05-29 大小:1.8 GB 最近下载:2025-06-01 热度:1517