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[GigaCourse.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:2022-01-28 大小:11.3 GB 最近下载:2025-05-17 热度:1562

[GigaCourse.com] 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 151.3 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 104.1 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:2021-03-09 大小:16.9 GB 最近下载:2025-05-17 热度:1553

[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:2025-05-10 热度:1551

[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:2025-05-10 热度:1551

[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

[ 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:2025-05-16 热度:1539

[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:2025-05-16 热度:1532

[FreeCourseSite.com] Udemy - Complete Machine Learning & Data Science Bootcamp 2022

  • 09 - Scikit-learn_ Creating Machine Learning Models/017 NEW_ Choosing The Right Model For Your Data.mp4 245.7 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/040 NEW_ Evaluating A Model With Cross Validation and Scoring Parameter.mp4 235.8 MB
  • 05 - Data Science Environment Setup/008 Windows Environment Setup 2.mp4 200.2 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/007 Typical scikit-learn Workflow.mp4 193.6 MB
  • 16 - Career Advice + Extra Bits/009 CWD_ Git + Github.mp4 184.8 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/008 Optional_ Debugging Warnings In Jupyter.mp4 179.8 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/043 Tuning Hyperparameters.mp4 176.1 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/032 Training Your Deep Neural Network.mp4 171.0 MB
  • 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/008 Feature Engineering.mp4 165.0 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/034 Make And Transform Predictions.mp4 161.2 MB
  • 16 - Career Advice + Extra Bits/003 What If I Don't Have Enough Experience_.mp4 154.5 MB
  • 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/009 Turning Data Into Numbers.mp4 151.2 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/050 Putting It All Together.mp4 150.2 MB
  • 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/021 Feature Importance.mp4 147.4 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/037 Visualizing And Evaluate Model Predictions 2.mp4 147.1 MB
  • 05 - Data Science Environment Setup/005 Mac Environment Setup.mp4 146.3 MB
  • 11 - Milestone Project 1_ Supervised Learning (Classification)/010 Finding Patterns 3.mp4 142.5 MB
  • 12 - Milestone Project 2_ Supervised Learning (Time Series Data)/006 Exploring Our Data.mp4 142.1 MB
  • 14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/015 Preparing The Images.mp4 138.5 MB
  • 09 - Scikit-learn_ Creating Machine Learning Models/016 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.mp4 137.7 MB
[磁力链接] 添加时间:2022-01-11 大小:17.5 GB 最近下载:2025-05-17 热度:1528

[ 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:2025-05-13 热度:1521

[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

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:2025-05-17 热度:1514

[ FreeCourseWeb.com ] Udemy - Machine Learning & Data Science Bootcamp with R & Python (07 - 2021)

  • ~Get Your Files Here !/11 Kaggle - Covid 19- Classification (Chest X-ray.) - Covid-19 & Pneumonia/001 Demo - [without voice].mp4 449.1 MB
  • ~Get Your Files Here !/07 Convolutional Neural Networks - CNN/001 How to Develop a CNN From Scratch for CIFAR-10 Photo Classification.mp4 415.1 MB
  • ~Get Your Files Here !/04 Machine Learning - Supervised Learning/002 Univariate Linear regression Part 2.mp4 298.5 MB
  • ~Get Your Files Here !/04 Machine Learning - Supervised Learning/003 Multivariate Linear Regression.mp4 222.1 MB
  • ~Get Your Files Here !/05 Machine Learning - Unsupervised Learning - Clustering/005 K-Means clustering - Code walkthrough with Theory & Practical.mp4 157.3 MB
  • ~Get Your Files Here !/04 Machine Learning - Supervised Learning/004 Logistic regression.mp4 157.1 MB
  • ~Get Your Files Here !/11 Kaggle - Covid 19- Classification (Chest X-ray.) - Covid-19 & Pneumonia/002 Demonstration with Step by step Guidance [With voice].mp4 141.8 MB
  • ~Get Your Files Here !/04 Machine Learning - Supervised Learning/001 Univariate Linear regression Part 1.mp4 141.1 MB
  • ~Get Your Files Here !/04 Machine Learning - Supervised Learning/005 Naive Bayes Classifier.mp4 130.6 MB
  • ~Get Your Files Here !/06 Implementing a ANN with R programming _ R Studio/001 Implementing a ANN with R programming _ R Studio.mp4 126.8 MB
  • ~Get Your Files Here !/05 Machine Learning - Unsupervised Learning - Clustering/001 Clustering _ Lecture Part 1.mp4 93.8 MB
  • ~Get Your Files Here !/01 Introduction/007 Classification _ Definition.mp4 88.7 MB
  • ~Get Your Files Here !/01 Introduction/003 What is Machine Learning.mp4 84.8 MB
  • ~Get Your Files Here !/02 Setting up the Environment for Machine Learning - R language and R studio/001 Installing R and R studio.mp4 79.6 MB
  • ~Get Your Files Here !/05 Machine Learning - Unsupervised Learning - Clustering/003 What is clustering in Machine Learning.mp4 73.0 MB
  • ~Get Your Files Here !/03 Setting up the Environment for Machine Learning - Python & Anaconda/001 Installing Python and Pycharm IDE.mp4 49.4 MB
  • ~Get Your Files Here !/01 Introduction/005 Steps to Solve a Data Mining & Machine Learning Problem.mp4 48.4 MB
  • ~Get Your Files Here !/01 Introduction/001 Why we need Data Mining & Machine Learning.mp4 45.3 MB
  • ~Get Your Files Here !/01 Introduction/008 Clustering _ Definition.mp4 38.9 MB
  • ~Get Your Files Here !/03 Setting up the Environment for Machine Learning - Python & Anaconda/002 Setting up the Environment _ Anaconda.mp4 38.1 MB
[磁力链接] 添加时间:2024-04-20 大小:3.0 GB 最近下载:2025-05-17 热度:1514

[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:2025-05-17 热度:1509

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:2025-05-17 热度:1507

[GigaCourse.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:2024-01-13 大小:31.4 GB 最近下载:2025-05-17 热度:1506

[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:2025-05-17 热度:1503

[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:2025-04-25 热度:1502

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

  • 04 - Introduction to Optimisation and the Gradient Descent Algorithm/007 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 240.6 MB
  • 12 - Serving a Tensorflow Model through a Website/014 Calculating the Centre of Mass and Shifting the Image.mp4 220.7 MB
  • 05 - Predict House Prices with Multivariable Linear Regression/031 Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 210.7 MB
  • 10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/012 Model Evaluation and the Confusion Matrix.mp4 202.6 MB
  • 04 - Introduction to Optimisation and the Gradient Descent Algorithm/009 Understanding the Learning Rate.mp4 199.4 MB
  • 03 - Python Programming for Data Science and Machine Learning/008 [Python] - Module Imports.mp4 195.9 MB
  • 12 - Serving a Tensorflow Model through a Website/007 Loading a Tensorflow.js Model and Starting your own Server.mp4 183.9 MB
  • 05 - Predict House Prices with Multivariable Linear Regression/014 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 183.7 MB
  • 10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/010 Use the Model to Make Predictions.mp4 182.3 MB
  • 11 - Use Tensorflow to Classify Handwritten Digits/012 Different Model Architectures Experimenting with Dropout.mp4 182.3 MB
  • 12 - Serving a Tensorflow Model through a Website/009 Styling an HTML Canvas.mp4 181.1 MB
  • 12 - Serving a Tensorflow Model through a Website/010 Drawing on an HTML Canvas.mp4 167.0 MB
  • 12 - Serving a Tensorflow Model through a Website/016 Adding the Game Logic.mp4 165.9 MB
  • 10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/009 Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 159.9 MB
  • 04 - Introduction to Optimisation and the Gradient Descent Algorithm/010 How to Create 3-Dimensional Charts.mp4 159.4 MB
  • 08 - Test and Evaluate a Naive Bayes Classifier Part 3/006 Visualising the Decision Boundary.mp4 156.7 MB
  • 12 - Serving a Tensorflow Model through a Website/013 Resizing and Adding Padding to Images.mp4 155.0 MB
  • 08 - Test and Evaluate a Naive Bayes Classifier Part 3/011 A Naive Bayes Implementation using SciKit Learn.mp4 152.8 MB
  • 04 - Introduction to Optimisation and the Gradient Descent Algorithm/008 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 152.3 MB
  • 03 - Python Programming for Data Science and Machine Learning/013 How to Make Sense of Python Documentation for Data Visualisation.mp4 144.8 MB
[磁力链接] 添加时间:2023-12-20 大小:13.5 GB 最近下载:2025-05-17 热度:1471

[DesireCourse.Net] Udemy - Data Science and Machine Learning Bootcamp with R

  • 18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4 57.1 MB
  • 19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4 50.9 MB
  • 21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 50.1 MB
  • 23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4 49.7 MB
  • 14. Data Manipulation with R/8. Guide to Using Tidyr.mp4 49.4 MB
  • 20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 49.2 MB
  • 33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4 48.5 MB
  • 20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 48.2 MB
  • 15. Data Visualization with R/2. Histograms.mp4 47.8 MB
  • 6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip.zip 47.8 MB
  • 1. Course Introduction/4.1 R-Course-HTML-Notes.zip.zip 47.8 MB
  • 22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 42.9 MB
  • 24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 42.4 MB
  • 22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4 41.5 MB
  • 15. Data Visualization with R/3. Scatterplots.mp4 39.4 MB
  • 12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4 38.5 MB
  • 32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4 37.4 MB
  • 12. R Programming Basics/8. Functions.mp4 36.8 MB
  • 18. Capstone Data Project/1. Introduction to Capstone Project.mp4 36.6 MB
  • 9. R Data Frames/5. Overview of Data Frame Operations - Part 2.mp4 35.8 MB
[磁力链接] 添加时间:2021-03-09 大小:2.6 GB 最近下载:2025-05-17 热度:1462

[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:2025-05-17 热度:1457


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