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[FreeCourseSite.com] Udemy - Data Science A-Z™ Hands-On Exercises & ChatGPT Bonus [2023]

  • 20 - Handling errors during ETL Phases 1 & 2/136 - What do you do when your source file is corrupt Part 1.mp4 315.8 MB
  • 20 - Handling errors during ETL Phases 1 & 2/142 - How to analyze the error files.mp4 223.7 MB
  • 27 - Homework Solutions/214 - ETL Error Handling Phases 1 and 2.mp4 217.3 MB
  • 27 - Homework Solutions/215 - ETL Error Handling Vehicle Service Project Part 1 of 3.mp4 179.2 MB
  • 27 - Homework Solutions/217 - ETL Error Handling Vehicle Service Project Part 3 of 3.mp4 156.2 MB
  • 26 - Presenting for Data Scientists/205 - REAL Data Science Presentation Walkthrough.mp4 154.2 MB
  • 13 - Assessing your model/90 - How to build a CAP curve in Excel.mp4 140.1 MB
  • 23 - Handling errors during ETL Phase 3/182 - Upload the data to RAW table.mp4 140.0 MB
  • 10 - Multiple Linear Regression/65 - Backward Elimination.mp4 120.5 MB
  • 14 - Drawing insights from your model/102 - Deriving insights from your coefficients advanced topic.mp4 120.1 MB
  • 20 - Handling errors during ETL Phases 1 & 2/138 - SSIS Error Data truncation.mp4 119.7 MB
  • 10 - Multiple Linear Regression/67 - Interpreting coefficients of MLR.mp4 108.6 MB
  • 6 - Advanced Data Mining With Tableau/41 - Bonus Chi.mp4 103.3 MB
  • 6 - Advanced Data Mining With Tableau/40 - Visualising Balance and Estimated Salary distribution.mp4 100.5 MB
  • 22 - ETL Phase 3 Data Wrangling after the load/176 - Converting data on the fly.mp4 98.3 MB
  • 13 - Assessing your model/94 - Applying the model to test data.mp4 88.3 MB
  • 13 - Assessing your model/95 - Comparing training performance and test performance.mp4 87.0 MB
  • 10 - Multiple Linear Regression/64 - Ways to build a model BACKWARD FORWARD STEPWISE.mp4 78.0 MB
  • 20 - Handling errors during ETL Phases 1 & 2/137 - What do you do when your source file is corrupt Part 2.mp4 74.8 MB
  • 12 - Building a robust geodemographic segmentation model/81 - Lets build the model.mp4 74.5 MB
[磁力链接] 添加时间:2024-01-09 大小:7.2 GB 最近下载:2025-05-30 热度:4131

Datascy Master of Data Science and Analytics - Jerry Strazzeri

  • 17. Machine Learning e Inteligência Artificial (AI)/2. Perguntas e Respostas - 1 aula.mp4 1.6 GB
  • 3. Pre-Work - Iniciando sua Jornada em Data Science e Analytics/3. A Importância dos Dados - 1 aula.mp4 1.2 GB
  • 28. Desenvolvendo Pensamento Analítico para Dados (Aula ao Vivo)/3. Cherry Picking - Escolha Aleatória - 1 aula.mp4 1.1 GB
  • 31. Como Arrumar um Emprego em Dados/7. Como Fazer o seu CV - Parte 2 - 1 aula.mp4 954.1 MB
  • 14. Introdução Análise de Dados/4. Introdução - Data Análise 2 - 1 aula.mp4 917.6 MB
  • 39. Trabalho Final/22. Opção Alternativa Google Merchandise Store - 1 aula.mp4 905.3 MB
  • 28. Desenvolvendo Pensamento Analítico para Dados (Aula ao Vivo)/10. Aleatoriedade e Pensamento Analítico 3 -(Aula ao Vivo) - 1 aula.mp4 890.2 MB
  • 28. Desenvolvendo Pensamento Analítico para Dados (Aula ao Vivo)/9. Aleatoriedade e Pensamento Analítico 2 -(Aula ao Vivo) - 1 aula.mp4 765.3 MB
  • 31. Como Arrumar um Emprego em Dados/8. Como Fazer seu CV - Parte 3 - 1 aula.mp4 761.3 MB
  • 14. Introdução Análise de Dados/3. Introdução - Data Análises - 1 aula.mp4 732.4 MB
  • 28. Desenvolvendo Pensamento Analítico para Dados (Aula ao Vivo)/12. Metodologia de Mensuração - Parte 2 - 1 aula.mp4 725.2 MB
  • 39. Trabalho Final/5. Análise de Dados - Opção 1 - Orlando Airbnb - 1 aula.mp4 707.7 MB
  • 31. Como Arrumar um Emprego em Dados/11. Se preparando para Entrevista 3 (Aula ao Vivo) - 1 aula.mp4 695.2 MB
  • 28. Desenvolvendo Pensamento Analítico para Dados (Aula ao Vivo)/13. Metodologia de Mensuração Parte 3 Perguntas - 1 aula.mp4 688.8 MB
  • 30. Tableau/7. Contexto em Data Science - 1 aula.mp4 596.3 MB
  • 25. SQL para Data Science e Analytics/40. SQL Like - 1 aula.mp4 580.2 MB
  • 28. Desenvolvendo Pensamento Analítico para Dados (Aula ao Vivo)/11. Metodologia de Mensuração Parte 1 - 1 aula.mp4 531.7 MB
  • 25. SQL para Data Science e Analytics/41. SQL Like Exemplos - 1 aula.mp4 530.3 MB
  • 31. Como Arrumar um Emprego em Dados/6. Como fazer o seu CV - 1 aula.mp4 523.0 MB
  • 28. Desenvolvendo Pensamento Analítico para Dados (Aula ao Vivo)/4. Como Analisar Dados Criticamente - 1 aula.mp4 512.8 MB
[磁力链接] 添加时间:2024-01-08 大小:60.5 GB 最近下载:2025-06-01 热度:1244

CBT Nuggets - Programming for Data Science

  • 19. Evaluate Complexity and Memory for Data Science/4. Pandas Data Types .mp4 220.8 MB
  • 21. Explore R Fundamentals for Data Science/1. Introduction -3.mp4 203.1 MB
  • 24. Explore AI Language Models and OpenAI's ChatGPT/5. Prompts and Completions.mp4 194.4 MB
  • 21. Explore R Fundamentals for Data Science/3. Getting Started with R and Google Colab .mp4 185.3 MB
  • 2. Access the Command Line for Data Science/1. Introduction .mp4 179.1 MB
  • 10. Write Code using OOP Concepts for Data Science/3. Python Class Objects .mp4 177.6 MB
  • 21. Explore R Fundamentals for Data Science/2. What is R and Why Should I Learn it in 2023 .mp4 176.0 MB
  • 13. Visualizing Data with Matplotlib for Data Science/2. What is Matplotlib .mp4 169.3 MB
  • 13. Visualizing Data with Matplotlib for Data Science/3. Fields in the dataset from Kaggle .mp4 163.0 MB
  • 14. Visualize Data with Seaborn for Data Science/2. Matplotlib vs Seaborn .mp4 156.6 MB
  • 15. Explore Web Scraping Fundamentals for Data Science/6. Web Scraping with BeautifulSoup .mp4 156.2 MB
  • 19. Evaluate Complexity and Memory for Data Science/1. Introduction - Programming for Data Science CBT Nuggets-3.mp4 151.0 MB
  • 18. Analyze Core Data Structures for Data Science/4. Data Structures Deep Dive .mp4 148.4 MB
  • 2. Access the Command Line for Data Science/2. What is a command-line, terminal, and Shell .mp4 144.1 MB
  • 16. Collect Web Data with Python and BeautifulSoup/5. The find_all() Method Part 1 .mp4 142.3 MB
  • 22. Implement and Compare R Data Structures/7. Data Exploration .mp4 139.9 MB
  • 26. Create an AI Powered Web App with OpenAI, Streamlit/7. HungryBear Production Code Part 2 .mp4 139.8 MB
  • 18. Analyze Core Data Structures for Data Science/1. Introduction .mp4 139.5 MB
  • 20. Apply Big O Notation Concepts for Data Science/5. Factorial time .mp4 139.0 MB
  • 4. Explore Python Data Types for Data Science/7. Collections Dictionaries .mp4 138.5 MB
[磁力链接] 添加时间:2024-01-08 大小:13.2 GB 最近下载:2025-05-31 热度:5876

[ CourseWikia.com ] Udemy - Spatial Analysis & Geospatial Data Science in Python 2021.zip

  • [ CourseWikia.com ] Udemy - Spatial Analysis & Geospatial Data Science in Python 2021.zip 2.1 GB
[磁力链接] 添加时间:2024-01-08 大小:2.1 GB 最近下载:2025-05-31 热度:1133

[Tutorialsplanet.NET] 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:2024-01-07 大小:2.1 GB 最近下载:2025-06-01 热度:949

[ DevCourseWeb.com ] Deep Dive Into Mastering Data Science And Machine Learning

  • ~Get Your Files Here !/21 - Covariance and Correlation.mp4 60.1 MB
  • ~Get Your Files Here !/25 - Hierarchical Indexing.mp4 50.9 MB
  • ~Get Your Files Here !/8 - DataFrame.mp4 50.1 MB
  • ~Get Your Files Here !/19 - Functions by Element and Row or Column and Statistics.mp4 44.3 MB
  • ~Get Your Files Here !/20 - Ranking and Sorting.mp4 42.5 MB
  • ~Get Your Files Here !/14 - Reindexing.mp4 35.9 MB
  • ~Get Your Files Here !/16 - Arithmetic and Data Alignment.mp4 34.9 MB
  • ~Get Your Files Here !/13 - Methods and Duplicate Labels.mp4 30.3 MB
  • ~Get Your Files Here !/23 - NaN Value Filtration.mp4 28.6 MB
  • ~Get Your Files Here !/9 - Selecting Elements.mp4 25.7 MB
  • ~Get Your Files Here !/12 - Nested Dict and Transposition.mp4 24.6 MB
  • ~Get Your Files Here !/7 - Dictionaries and Operations between Series.mp4 24.3 MB
  • ~Get Your Files Here !/5 - Mathematical Functions and Evaluating Values.mp4 23.4 MB
  • ~Get Your Files Here !/2 - Welcome to the Series.mp4 23.0 MB
  • ~Get Your Files Here !/15 - Dropping.mp4 23.0 MB
  • ~Get Your Files Here !/10 - Assigning Values.mp4 22.1 MB
  • ~Get Your Files Here !/18 - DataFrame and Series and Operations.mp4 20.4 MB
  • ~Get Your Files Here !/11 - Value Membership Deleting and Filtering.mp4 16.3 MB
  • ~Get Your Files Here !/6 - NaN Values.mp4 14.1 MB
  • ~Get Your Files Here !/22 - Assigning a NaN Value.mp4 13.6 MB
[磁力链接] 添加时间:2024-01-07 大小:663.7 MB 最近下载:2025-05-31 热度:1477

[GigaCourse.Com] Udemy - Power BI A-Z Hands-On Power BI Training For Data Science!

  • 6 - Leveraging Custom Visuals/42 - THANK YOU Video.mp4 111.5 MB
  • 4 - Maps Scatterplots and Interactive BI Reports/23 - Power BI Calculated Columns vs Calculated Measures.mp4 104.4 MB
  • 4 - Maps Scatterplots and Interactive BI Reports/26 - Adding a Donut Chart.mp4 99.2 MB
  • 4 - Maps Scatterplots and Interactive BI Reports/22 - Creating a map working with hierarchies lats and lons.mp4 93.1 MB
  • 5 - Creating an Interactive Business Intelligence Report/35 - Analyzing the Customer Segmentation Dashboard.mp4 86.0 MB
  • 6 - Leveraging Custom Visuals/41 - Exploring the visualization.mp4 77.8 MB
  • 6 - Leveraging Custom Visuals/37 - Installing a Custom Visual for Power BI.mp4 76.2 MB
  • 4 - Maps Scatterplots and Interactive BI Reports/25 - Combining charts filters and slicers.mp4 71.5 MB
  • 3 - Timeseries Aggregation and Filters/13 - Downloading and connecting to the dataset.mp4 71.5 MB
  • 2 - Your First Bar Chart/9 - Advanced drilling in hierarchies.mp4 67.8 MB
  • 6 - Leveraging Custom Visuals/36 - The Challenge Visualizing the European Debt Crisis.mp4 63.8 MB
  • 6 - Leveraging Custom Visuals/40 - Adding Treemaps.mp4 61.1 MB
  • 2 - Your First Bar Chart/6 - Connecting Power BI to a Data File CSV File.mp4 58.6 MB
  • 4 - Maps Scatterplots and Interactive BI Reports/18 - Joining data in Power BI.mp4 52.5 MB
  • 3 - Timeseries Aggregation and Filters/17 - Filters and Slicers in Power BI.mp4 48.4 MB
  • 5 - Creating an Interactive Business Intelligence Report/34 - Controlling Report Interactivity.mp4 41.4 MB
  • 4 - Maps Scatterplots and Interactive BI Reports/24 - Creating a scatter plot.mp4 41.1 MB
  • 5 - Creating an Interactive Business Intelligence Report/27 - Downloading the dataset and connecting Power BI.mp4 39.0 MB
  • 5 - Creating an Interactive Business Intelligence Report/33 - Creating a Customer Segmentation Dashboard.mp4 38.1 MB
  • 6 - Leveraging Custom Visuals/38 - Mechanics of a Chord Chart.mp4 38.0 MB
[磁力链接] 添加时间:2024-01-07 大小:1.7 GB 最近下载:2025-05-31 热度:4513

[CourseClub.Me] Coursera - Data Science Foundations Data Structures and Algorithms Specialization

  • 2. Trees and Graphs Basics/Week 2/3. Depth First Search.mp4 218.0 MB
  • 3. Dynamic Programming, Greedy Algorithms/Week 1/3. Karatsuba’s Multiplication Algorithm.mp4 189.7 MB
  • 1/Week 1/2. An Introduction Through the Insertion Sort Algorithm.mp4 178.2 MB
  • 3. Dynamic Programming, Greedy Algorithms/Week 2/4. Knapsack Problem.mp4 176.6 MB
  • 1/Week 1/4. Asymptotic Notation.mp4 171.2 MB
  • 1/Week 1/3. Time and Space Complexity.mp4 171.2 MB
  • 3. Dynamic Programming, Greedy Algorithms/Week 2/1. Introduction to Dynamic Programming + Rod Cutting Problem.mp4 168.5 MB
  • 1/Week 3/4. Analysis of Quicksort Algorithm.mp4 168.1 MB
  • 3. Dynamic Programming, Greedy Algorithms/Week 3/3. Prefix Codes.mp4 165.4 MB
  • 2. Trees and Graphs Basics/Week 1/2. Binary Search Trees -- Insertion and Deletion.mp4 161.4 MB
  • 2. Trees and Graphs Basics/Week 3/3. Spanning Trees and Minimal Spanning Trees with Applications.mp4 157.0 MB
  • 1/Week 1/1. What is an Algorithm.mp4 152.6 MB
  • 3. Dynamic Programming, Greedy Algorithms/Week 2/6. Dynamic Programming Longest Common Subsequence.mp4 146.3 MB
  • 1/Week 3/3. Detailed Design of Partitioning Schemes.mp4 143.5 MB
  • 3. Dynamic Programming, Greedy Algorithms/Week 2/2. Rod Cutting Problem Memoization.mp4 134.0 MB
  • 3. Dynamic Programming, Greedy Algorithms/Week 1/2. Max Subarray Problem Using Divide and Conquer.mp4 130.8 MB
  • 3. Dynamic Programming, Greedy Algorithms/Week 3/2. Greedy Interval Scheduling.mp4 130.4 MB
  • 3. Dynamic Programming, Greedy Algorithms/Week 3/1. Introduction to Greedy Algorithms.mp4 109.8 MB
  • 2. Trees and Graphs Basics/Week 1/1. Binary Search Trees -- Introduction and Properties.mp4 108.7 MB
  • 3. Dynamic Programming, Greedy Algorithms/Week 3/5. Huffman Codes Proof of Optimality.mp4 104.1 MB
[磁力链接] 添加时间:2024-01-07 大小:6.0 GB 最近下载:2025-05-17 热度:646

[ DevCourseWeb.com ] Introduction to Data Science (2023)

  • ~Get Your Files Here !/Ex_Files_Intro_to_Data_Science/Exercise Files/state_baby_names.csv 154.7 MB
  • ~Get Your Files Here !/Ex_Files_Intro_to_Data_Science/Exercise Files/us_baby_names.csv 44.4 MB
  • ~Get Your Files Here !/09 - 8. Using Inference and Statistical Analysis/05 - Bootstrapping a confidence interval.mp4 19.7 MB
  • ~Get Your Files Here !/10 - 9. Using Prediction in Data Science/04 - Implementing k-Nearest Neighbors.mp4 16.7 MB
  • ~Get Your Files Here !/08 - 7. Using Data Visualization/03 - Visualizing your quantitative data.mp4 14.7 MB
  • ~Get Your Files Here !/09 - 8. Using Inference and Statistical Analysis/04 - Conducting a permutation test.mp4 13.8 MB
  • ~Get Your Files Here !/10 - 9. Using Prediction in Data Science/07 - Implementing linear regression.mp4 13.5 MB
  • ~Get Your Files Here !/05 - 4. Structuring Your Tabular Data/02 - Reading tabular data.mp4 12.9 MB
  • ~Get Your Files Here !/05 - 4. Structuring Your Tabular Data/04 - Gathering insights.mp4 12.3 MB
  • ~Get Your Files Here !/06 - 5. Using Exploratory Data Analysis/03 - Distinguishing properties of data.mp4 11.9 MB
  • ~Get Your Files Here !/09 - 8. Using Inference and Statistical Analysis/02 - Designing a hypothesis test.mp4 10.1 MB
  • ~Get Your Files Here !/08 - 7. Using Data Visualization/02 - Visualizing your qualitative data.mp4 9.7 MB
  • ~Get Your Files Here !/07 - 6. Cleaning Your Data/02 - Questions to guide data cleaning.mp4 8.8 MB
  • ~Get Your Files Here !/09 - 8. Using Inference and Statistical Analysis/03 - Creating a permutation.mp4 8.6 MB
  • ~Get Your Files Here !/03 - 2. Starting with Data Design/01 - Reducing bias with probability sampling.mp4 7.7 MB
  • ~Get Your Files Here !/04 - 3. Utilizing Computational Tools/02 - Setting up your Jupyter environment.mp4 7.2 MB
  • ~Get Your Files Here !/Ex_Files_Intro_to_Data_Science/Exercise Files/Airbnb_NYC_2019.csv 7.1 MB
  • ~Get Your Files Here !/02 - 1. Defining Data Science/01 - Demystifying data science.mp4 6.9 MB
  • ~Get Your Files Here !/10 - 9. Using Prediction in Data Science/03 - Recognizing the k-NN algorithm.mp4 6.5 MB
  • ~Get Your Files Here !/10 - 9. Using Prediction in Data Science/05 - Navigating regression.mp4 6.0 MB
[磁力链接] 添加时间:2024-01-07 大小:456.7 MB 最近下载:2025-05-22 热度:1023

Machine Learning and Data Science Hands-on with Python and R

  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/107. Tensorflow-Playground.mp4 143.3 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/14. Getting started with Anaconda.mp4 142.8 MB
  • Machine Learning and Data Science Hands-on with Python and R/10. Natural Language Processing (NLP) Tutorials/6. Replacing Contractions.mp4 141.6 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/108. Average of Quarter Denationalization.mp4 133.1 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/55. Creating a Graph for Kmeans Clustering.mp4 132.8 MB
  • Machine Learning and Data Science Hands-on with Python and R/3. Machine Learning Project #1 - Shipping and Time Estimation/8. Assigning a Training Set.mp4 131.3 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/54. Example of Kmeans Dataset.mp4 128.6 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/126. More on Rstudio in Market Analysis.mp4 128.5 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/85. R Type Model.mp4 127.2 MB
  • Machine Learning and Data Science Hands-on with Python and R/4. Machine Learning Project #2 - Supply Chain-Demand Trends Analysis/3. Checking the Function Argument.mp4 127.1 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/79. Numeric Hosing Data.mp4 126.1 MB
  • Machine Learning and Data Science Hands-on with Python and R/3. Machine Learning Project #1 - Shipping and Time Estimation/13. Normalization and Discretization.mp4 125.3 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/117. Example of Dataset Boosting in Gradient Continues.mp4 118.7 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/58. Grid.mp4 116.2 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/19. Arrays.mp4 115.7 MB
  • Machine Learning and Data Science Hands-on with Python and R/13. BIP - Business Intelligence Publisher using Siebel/8. Showing Report Views on Application.mp4 115.4 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/52. Pairplot.mp4 115.1 MB
  • Machine Learning and Data Science Hands-on with Python and R/2. Machine Learning with Tensorflow for Beginners/23. Universal Functions.mp4 114.9 MB
  • Machine Learning and Data Science Hands-on with Python and R/12. Machine Learning with R/101. Forecasting Using Stock Price.mp4 114.2 MB
  • Machine Learning and Data Science Hands-on with Python and R/7. Machine Learning Project #5 - Fraud Detection in Credit Payments/10. VRS.mp4 112.7 MB
[磁力链接] 添加时间:2024-01-07 大小:32.4 GB 最近下载:2025-06-01 热度:2201

Pluralsight Path. Data Science with Microsoft Azure (2021)

  • F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/3. Working with Azure Databricks/5. Demo - Azure Databricks with Azure Data Lake Storage Gen2.mp4 63.4 MB
  • F3. Deploying and Managing Models in Microsoft Azure (Jared Rhodes, 2020)/3. Using Continuous Integration and Continuous Deployment/4. Creating Pipelines.mp4 51.2 MB
  • E5. Building Features for Computer Vision in Microsoft Azure (David Tucker, 2020)/exercise.7z 45.9 MB
  • D2. Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer (Neeraj Kumar, 2019)/4. Using the Kusto Query Language (KQL)/6. Demo - Working with KQL - Timeseries.mp4 44.0 MB
  • F1. Developing Models in Microsoft Azure (Saravanan Dhandapani, 2020)/3. Import and Prepare Data for Modeling/2. Data Preprocessing with Microsoft AzureML.mp4 39.4 MB
  • D2. Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer (Neeraj Kumar, 2019)/4. Using the Kusto Query Language (KQL)/5. Demo - Working with KQL - Basic.mp4 39.0 MB
  • F3. Deploying and Managing Models in Microsoft Azure (Jared Rhodes, 2020)/2. Deploying a Machine Learning Model/5. Creating and Deploying.mp4 38.8 MB
  • E5. Building Features for Computer Vision in Microsoft Azure (David Tucker, 2020)/3. Utilizing the SIFT and HOG Algorithms for Feature Detection/4. Extracting and Matching Features with SIFT.mp4 37.1 MB
  • D2. Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer (Neeraj Kumar, 2019)/5. Data Ingestion for ADX/6. Demo - Data Ingestion Using EventHubs and .Net Custom Code.mp4 36.5 MB
  • B2. Sourcing Data in Microsoft Azure (Jared Rhodes, 2019)/3. Extracting and Loading Data into an Azure Workflow/6. HD Insights Demo.mp4 34.4 MB
  • F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/4. Model Evaluation and Summarizing Results/6. Demo - Create Model and Perform Predictive Analytics Part3.mp4 34.1 MB
  • F1. Developing Models in Microsoft Azure (Saravanan Dhandapani, 2020)/5. Tuning Hyperparameters and AutoML/3. Automated Machine Learning Experiment Using Python SDK.mp4 33.4 MB
  • F1. Developing Models in Microsoft Azure (Saravanan Dhandapani, 2020)/3. Import and Prepare Data for Modeling/1. Creating and Registering Microsoft AzureML Datastore.mp4 31.3 MB
  • F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/5. Reviewing Results with Stakeholders/4. Demo - Communicating Insights using MatPlotLib.mp4 29.9 MB
  • F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/3. Working with Azure Databricks/4. Demo - Configuring and Working with Azure Databricks.mp4 29.1 MB
  • E5. Building Features for Computer Vision in Microsoft Azure (David Tucker, 2020)/3. Utilizing the SIFT and HOG Algorithms for Feature Detection/6. Extracting and Matching Features with HOG.mp4 28.5 MB
  • F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/3. Working with Azure Databricks/6. Demo - Performing Exploratory Data Analysis using Azure Databricks.mp4 27.0 MB
  • F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/4. Model Evaluation and Summarizing Results/5. Demo - Create Model and Perform Predictive Analytics Part 2.mp4 25.7 MB
  • F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/3. Working with Azure Databricks/7. Demo - Working with Streaming Data Using Azure Databricks and Event Hubs.mp4 24.7 MB
  • F4. Communicating Insights from Microsoft Azure to the Business (Neeraj Kumar, 2020)/5. Reviewing Results with Stakeholders/3. Demo - Communicating Insights using Power BI.mp4 24.5 MB
[磁力链接] 添加时间:2024-01-06 大小:3.4 GB 最近下载:2025-06-01 热度:2747

[CourserHub.com] Coursera - Mathematics for Machine Learning and Data Science Specialization

  • machine-learning-linear-algebra/01_week-1-system-of-linear-equations/01_specialization-course-introduction/01_specialization-introduction.mp4 27.8 MB
  • machine-learning-calculus/03_week-3-optimization-in-neural-networks-and-newtons-method/04_lecture-notes/01_week-3-slides_C2_W3.pdf 21.8 MB
  • machine-learning-calculus/01_week-1-derivatives-and-optimization/05_lecture-notes/01_week-1-slides_C2_W1.pdf 20.4 MB
  • machine-learning-calculus/01_week-1-derivatives-and-optimization/01_lesson-1-derivatives/03_machine-learning-motivation.mp4 18.2 MB
  • machine-learning-calculus/03_week-3-optimization-in-neural-networks-and-newtons-method/02_lesson-2-newtons-method/03_the-second-derivative.mp4 15.4 MB
  • machine-learning-linear-algebra/01_week-1-system-of-linear-equations/02_system-of-linear-equations-2-variables/04_system-of-equations.mp4 14.7 MB
  • machine-learning-linear-algebra/01_week-1-system-of-linear-equations/02_system-of-linear-equations-2-variables/05_system-of-equations-as-lines.mp4 14.6 MB
  • machine-learning-calculus/01_week-1-derivatives-and-optimization/01_lesson-1-derivatives/02_course-introduction-by-luis-serrano.mp4 13.8 MB
  • machine-learning-calculus/01_week-1-derivatives-and-optimization/01_lesson-1-derivatives/13_the-inverse-function-and-its-derivative.mp4 13.5 MB
  • machine-learning-calculus/01_week-1-derivatives-and-optimization/01_lesson-1-derivatives/15_meaning-of-the-exponential-e.mp4 13.1 MB
  • machine-learning-calculus/01_week-1-derivatives-and-optimization/01_lesson-1-derivatives/04_motivation-to-derivatives-part-i.mp4 13.0 MB
  • machine-learning-linear-algebra/03_week-3-vectors-and-linear-transformations/02_linear-transformations/07_neural-networks-and-matrices.mp4 12.7 MB
  • machine-learning-calculus/01_week-1-derivatives-and-optimization/03_lesson-2-optimization/05_optimization-of-log-loss-part-1.mp4 12.5 MB
  • machine-learning-calculus/03_week-3-optimization-in-neural-networks-and-newtons-method/01_lesson-1-optimization-in-neural-networks/09_classification-with-a-neural-network-minimizing-log-loss.mp4 12.1 MB
  • machine-learning-calculus/02_week-2-gradients-and-gradient-descent/01_lesson-1-gradients/07_optimization-using-gradients-analytical-method.mp4 12.0 MB
  • machine-learning-linear-algebra/03_week-3-vectors-and-linear-transformations/04_lecture-notes/01_week-3-slides_C1_W3.pdf 12.0 MB
  • machine-learning-calculus/02_week-2-gradients-and-gradient-descent/01_lesson-1-gradients/01_introduction-to-tangent-planes.mp4 11.4 MB
  • machine-learning-calculus/02_week-2-gradients-and-gradient-descent/01_lesson-1-gradients/06_optimization-with-gradients-an-example.mp4 10.8 MB
  • machine-learning-linear-algebra/01_week-1-system-of-linear-equations/02_system-of-linear-equations-2-variables/03_system-of-sentences.mp4 10.8 MB
  • machine-learning-calculus/03_week-3-optimization-in-neural-networks-and-newtons-method/01_lesson-1-optimization-in-neural-networks/07_classification-with-perceptron-calculating-the-derivatives.mp4 10.8 MB
[磁力链接] 添加时间:2024-01-06 大小:899.7 MB 最近下载:2025-05-31 热度:8773

Wang J. Encyclopedia of Data Science and Machine Learning (5 Volume Set) 2023

  • Wang J. Encyclopedia of Data Science and Machine Learning (5 Volume Set) 2023.pdf 185.2 MB
[磁力链接] 添加时间:2024-01-05 大小:185.2 MB 最近下载:2025-05-30 热度:4131

[ DevCourseWeb.com ] Applied Math for Data Science

  • ~Get Your Files Here !/Module 2 Probability/003. Probability Basics.mp4 110.0 MB
  • ~Get Your Files Here !/Module 1 Calculus and Functions/002. Mathematical Functions.mp4 106.8 MB
  • ~Get Your Files Here !/Module 5 Linear Regression/004. Fitting a Linear Regression.mp4 105.1 MB
  • ~Get Your Files Here !/Module 1 Calculus and Functions/004. The Limit and the Derivative.mp4 98.6 MB
  • ~Get Your Files Here !/Module 3 Statistics and Hypothesis Testing/002. Descriptive Statistics.mp4 93.3 MB
  • ~Get Your Files Here !/Module 6 Logistic Regression and Classification/006. ROCAUC and Confusion Matrices.mp4 74.3 MB
  • ~Get Your Files Here !/Module 6 Logistic Regression and Classification/003. Fitting a Logistic Regression.mp4 72.6 MB
  • ~Get Your Files Here !/Module 4 Linear Algebra/003. Transformations and Matrices.mp4 68.6 MB
  • ~Get Your Files Here !/Module 5 Linear Regression/002. Simple Linear Regression.mp4 64.6 MB
  • ~Get Your Files Here !/Module 4 Linear Algebra/002. Vectors and Vector Operations.mp4 61.6 MB
  • ~Get Your Files Here !/Module 5 Linear Regression/007. Performance Metrics.mp4 55.9 MB
  • ~Get Your Files Here !/Module 5 Linear Regression/005. Overfitting, Variance, and RidgeLasso Regression.mp4 54.6 MB
  • ~Get Your Files Here !/Module 3 Statistics and Hypothesis Testing/006. Hypothesis Testing.mp4 47.5 MB
  • ~Get Your Files Here !/Module 6 Logistic Regression and Classification/002. Logistic Regression Basics.mp4 46.6 MB
  • ~Get Your Files Here !/Module 2 Probability/005. Binomial and Beta Distribution.mp4 43.8 MB
  • ~Get Your Files Here !/Module 3 Statistics and Hypothesis Testing/003. The Normal Distribution.mp4 43.4 MB
  • ~Get Your Files Here !/Module 2 Probability/004. Bayes Theorem.mp4 42.7 MB
  • ~Get Your Files Here !/Module 5 Linear Regression/006. TrainTest Splits.mp4 32.6 MB
  • ~Get Your Files Here !/Module 3 Statistics and Hypothesis Testing/005. Z Scores and Confidence Intervals.mp4 32.0 MB
  • ~Get Your Files Here !/Module 6 Logistic Regression and Classification/005. The R2 and P-Value.mp4 29.2 MB
[磁力链接] 添加时间:2024-01-05 大小:1.6 GB 最近下载:2025-05-30 热度:1333

Apprendre la data science par la pratique avec Python !

  • 108 - les fichiers sources/cours_python/14_SQL/database.sqlite 313.1 MB
  • 076 -La librairie %22Beautifulsoup%22.mp4 45.9 MB
  • 056 -Gestion des dates dans un Dataframe.mp4 41.8 MB
  • 104 -Le dilemme biais-Variance.mp4 40.6 MB
  • 107 -Correction travaux pratiques.mp4 37.1 MB
  • 059 -Correction travaux pratiques.mp4 34.4 MB
  • 089 -Les statistiques de base.mp4 32.6 MB
  • 053 -Les premières analyses avec Pandas.mp4 32.5 MB
  • 105 -La gestion des variables avec catégories.mp4 31.8 MB
  • 087 -Correction travaux pratiques.mp4 31.7 MB
  • 096 -Le data cleaning - gestion des valeurs manquantes.mp4 30.9 MB
  • 079 -Introduction au SQL.mp4 30.7 MB
  • 054 -Introduction au feature modeling.mp4 29.6 MB
  • 052 -Le Data cleaning.mp4 29.1 MB
  • 085 -Faire des jointures en SQL.mp4 28.9 MB
  • 038 -Corrections exercices.mp4 28.7 MB
  • 099 -Concept de la régression linéaire.mp4 28.4 MB
  • 094 -Le data cleaning - analyse de la valeur à prédire.mp4 28.0 MB
  • 062 -Le bar chart.mp4 27.7 MB
  • 071 -Transformer du Json en Dataframe.mp4 26.5 MB
[磁力链接] 添加时间:2024-01-04 大小:2.1 GB 最近下载:2024-07-15 热度:68

[FreeCourseSite.com] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

  • 26. Presenting for Data Scientists/4. Intro dissection - recap.mp4 358.5 MB
  • 20. Handling errors during ETL (Phases 1 & 2)/12. How to analyze the error files.mp4 344.7 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 301.8 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 269.7 MB
  • 27. Homework Solutions/6. ETL Error Handling Vehicle Service Project (Part 3 of 3).mp4 242.6 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:2024-01-03 大小:15.9 GB 最近下载:2025-06-01 热度:1681

[ DevCourseWeb.com ] Udemy - Statistics and Hypothesis Testing for Data science

  • ~Get Your Files Here !/4. Introduction to Inferential Statistics/9. Introduction to Correlations.mp4 283.8 MB
  • ~Get Your Files Here !/4. Introduction to Inferential Statistics/10. Introduction to Sampling Methods.mp4 269.0 MB
  • ~Get Your Files Here !/5. Introduction to Hypothesis Testing/4. Introduction to Chi Squared Tests.mp4 243.3 MB
  • ~Get Your Files Here !/4. Introduction to Inferential Statistics/1. Introduction to Normal Distribution.mp4 226.2 MB
  • ~Get Your Files Here !/4. Introduction to Inferential Statistics/3. Introduction to Statistical Transformations.mp4 222.9 MB
  • ~Get Your Files Here !/3. Introduction to Basic and Conditional Probability/7. Introduction to Probability Distribution Functions.mp4 212.4 MB
  • ~Get Your Files Here !/3. Introduction to Basic and Conditional Probability/1. Introduction to Basic Probability.mp4 184.8 MB
  • ~Get Your Files Here !/2. Introduction to Descriptive Statistics/5. Measures of Shape and Position.mp4 152.6 MB
  • ~Get Your Files Here !/4. Introduction to Inferential Statistics/2. Introduction to Skewness and Kurtosis.mp4 150.7 MB
  • ~Get Your Files Here !/5. Introduction to Hypothesis Testing/2. Introduction to T Tests.mp4 145.4 MB
  • ~Get Your Files Here !/2. Introduction to Descriptive Statistics/1. Types of Data.mp4 132.9 MB
  • ~Get Your Files Here !/3. Introduction to Basic and Conditional Probability/4. Introduction to Bayes Theorem.mp4 123.8 MB
  • ~Get Your Files Here !/4. Introduction to Inferential Statistics/6. Introduction to Bias and Variance.mp4 119.9 MB
  • ~Get Your Files Here !/3. Introduction to Basic and Conditional Probability/5. Introduction to Permutations and Combinations.mp4 117.8 MB
  • ~Get Your Files Here !/5. Introduction to Hypothesis Testing/1. 1. Fundamentals of Hypothesis Testing.mp4 114.1 MB
  • ~Get Your Files Here !/1. Introduction to Statistics/1. Introduction to Statistics and its importance.mp4 112.0 MB
  • ~Get Your Files Here !/3. Introduction to Basic and Conditional Probability/2. Introduction to Set Theory.mp4 111.6 MB
  • ~Get Your Files Here !/2. Introduction to Descriptive Statistics/2. Measures of Central Tendency.mp4 110.1 MB
  • ~Get Your Files Here !/4. Introduction to Inferential Statistics/7. Introduction to Maximum Likelihood Estimation.mp4 106.7 MB
  • ~Get Your Files Here !/1. Introduction to Statistics/3. Introduction to Python for Statistical Analysis.mp4 97.0 MB
[磁力链接] 添加时间:2024-01-03 大小:4.1 GB 最近下载:2025-05-31 热度:1842

[DesireCourse.Net] Udemy - Statistics for Business Analytics and Data Science A-Z™

  • 3. Central Limit Theorem/8. Hands-On CLT - Analytics Challenge.mp4 189.6 MB
  • 5. Advanced Hypothesis Testing/6. Warning about misuse and overuse of p-values.mp4 55.2 MB
  • 5. Advanced Hypothesis Testing/9. THANK YOU bonus video.mp4 54.8 MB
  • 2. Distributions/10. Homework Solution - Part 1.mp4 54.0 MB
  • 2. Distributions/11. Homework Solution - Part 2.mp4 52.4 MB
  • 5. Advanced Hypothesis Testing/3. T-Tests.mp4 51.9 MB
  • 2. Distributions/2. Updates on Udemy Reviews.mp4 51.3 MB
  • 3. Central Limit Theorem/10. Homework Solution.mp4 45.9 MB
  • 4. Hypothesis Testing Statistical Significance/6. Proportion Testing.mp4 41.6 MB
  • 5. Advanced Hypothesis Testing/5. 2-Tailed Test Exercise.mp4 40.2 MB
  • 4. Hypothesis Testing Statistical Significance/2. Hypothesis Testing - Steps.mp4 38.0 MB
  • 6. Vitaly Dolgov's Guest Section/6. Trends in Analytics - Part 2.mp4 36.0 MB
  • 5. Advanced Hypothesis Testing/1. What it means when you cannot reject the Null Hypothesis.mp4 34.9 MB
  • 4. Hypothesis Testing Statistical Significance/8. Homework Solution.mp4 33.4 MB
  • 5. Advanced Hypothesis Testing/7. Real Life Example.mp4 31.9 MB
  • 2. Distributions/4. What is a Distribution.mp4 27.6 MB
  • 4. Hypothesis Testing Statistical Significance/4. Hypothesis Testing - Rejection Region.mp4 25.9 MB
  • 3. Central Limit Theorem/7. Z-Score.mp4 25.8 MB
  • 2. Distributions/5. What is Standard Deviation.mp4 25.6 MB
  • 4. Hypothesis Testing Statistical Significance/5. Hypothesis Testing Assumptions.mp4 25.4 MB
[磁力链接] 添加时间:2024-01-03 大小:1.3 GB 最近下载:2025-03-31 热度:530

Data Science w Pythonie. Kurs video. Przetwarzanie i analiza danych - Videopoint.pl.zip

  • Data Science w Pythonie. Kurs video. Przetwarzanie i analiza danych - Videopoint.pl.zip 1.1 GB
[磁力链接] 添加时间:2024-01-02 大小:1.1 GB 最近下载:2025-05-08 热度:535

GetFreeCourses.Co-Udemy-Data Science Transformers for Natural Language Processing

  • 4. Fine-Tuning (Intermediate)/9. Fine-Tuning Sentiment Analysis in Python.mp4 137.1 MB
  • 7. Question-Answering (Advanced)/13. From Logits to Answers in Python.mp4 126.5 MB
  • 9. Implement Transformers From Scratch (Advanced)/10. How to Train a Causal Language Model From Scratch.mp4 126.2 MB
  • 5. Named Entity Recognition (NER) and POS Tagging (Intermediate)/14. POS Tagging & Custom Datasets (Solution).mp4 120.7 MB
  • 9. Implement Transformers From Scratch (Advanced)/13. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 3).mp4 113.9 MB
  • 13. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
  • 4. Fine-Tuning (Intermediate)/10. Fine-Tuning Transformers with Custom Dataset.mp4 112.0 MB
  • 7. Question-Answering (Advanced)/7. Aligning the Targets in Python.mp4 108.4 MB
  • 3. Beginner's Corner/4. Sentiment Analysis in Python.mp4 101.8 MB
  • 7. Question-Answering (Advanced)/12. From Logits to Answers.mp4 100.2 MB
  • 9. Implement Transformers From Scratch (Advanced)/12. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 2).mp4 99.8 MB
  • 9. Implement Transformers From Scratch (Advanced)/11. Implement a Seq2Seq Transformer From Scratch for Language Translation (pt 1).mp4 98.6 MB
  • 9. Implement Transformers From Scratch (Advanced)/3. How to Implement Multihead Attention From Scratch.mp4 97.9 MB
  • 9. Implement Transformers From Scratch (Advanced)/7. Train and Evaluate Encoder From Scratch.mp4 93.7 MB
  • 3. Beginner's Corner/18. Zero-Shot Classification in Python.mp4 91.9 MB
  • 3. Beginner's Corner/6. Text Generation in Python.mp4 90.5 MB
  • 4. Fine-Tuning (Intermediate)/4. Models and Tokenizers in Python.mp4 88.4 MB
  • 13. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
  • 3. Beginner's Corner/2. From RNNs to Attention and Transformers - Intuition.mp4 82.0 MB
  • 7. Question-Answering (Advanced)/9. Applying the Tokenizer in Python.mp4 80.2 MB
[磁力链接] 添加时间:2024-01-02 大小:6.1 GB 最近下载:2025-05-31 热度:5748


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