data science -移花宫 -武林禁地，闲人禁止入内

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

6. Advanced Visualization/10. BONUS Building Dashboards in Python.mp4 87.6 MB
5. Data Frames/6. Filtering a Data Frame.mp4 78.8 MB
4. Matrices/3. Building Your First Matrix.mp4 74.6 MB
6. Advanced Visualization/11. BONUS Styling Tips.mp4 74.5 MB
4. Matrices/4. Dictionaries in Python.mp4 73.5 MB
5. Data Frames/4. Subsetting dataframes in Pandas.mp4 64.8 MB
6. Advanced Visualization/4. Stacked histograms in Python.mp4 60.3 MB
4. Matrices/9. Advanced Function Design.mp4 59.5 MB
6. Advanced Visualization/12. BONUS Finishing Touches.mp4 55.1 MB
7. Homework Solutions/9. THANK YOU bonus video.mp4 54.8 MB
7. Homework Solutions/4. Homework Solution Section 4 Basketball Free Throws.mp4 54.0 MB
4. Matrices/8. Creating Your First Function.mp4 50.9 MB
5. Data Frames/10. Keyword Arguments in Python (advanced tutorial).mp4 46.2 MB
2. Core Programming Principles/1. Updates on Udemy Reviews.mp4 45.5 MB
6. Advanced Visualization/8. Creating a Facet Grid.mp4 45.1 MB
5. Data Frames/5. Basic operations with a Data Frame.mp4 44.5 MB
6. Advanced Visualization/6. Working with Subplots().mp4 43.6 MB
4. Matrices/10. Basketball Insights.mp4 43.5 MB
4. Matrices/7. Expanded Visualization.mp4 42.7 MB
5. Data Frames/2. Exploring your dataset.mp4 42.0 MB

[磁力链接] 添加时间:2021-03-19 大小:2.3 GB 最近下载:2025-06-01 热度:1255

[FreeCourseSite.com] Udemy - Introduction to Machine Learning for Data Science

10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Foundations of Machine Learning and Data Science - Algorithms, concepts and more.mp4 127.2 MB
7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Introduction and Setup.mp4 125.6 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/4. A Titanic Example - Preparing the right data and applying a basic algorithm.mp4 120.1 MB
13. Section 7 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Conclusions - for our Titanic Example, important concepts and where to go next!.mp4 106.3 MB
11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Pandas and Matplotlib.mp4 103.8 MB
7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. What will we cover!.mp4 101.0 MB
9. Section 3 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Hands on Running Python.mp4 100.0 MB
11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introducing the essential modules for Machine Learning, and NumPy Basics.mp4 99.5 MB
10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Foundations of Machine Learning and Data Science - Definitions and concepts..mp4 99.0 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. A Titanic Example - Getting our start..mp4 93.1 MB
11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Analysis using Pandas, plotting in Matplotlib, intro to SciPy and Scikit-learn.mp4 87.8 MB
7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introduction and Anaconda Installation.mp4 81.6 MB
10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Foundations of Machine Learning and Data Science - Machine Learning Workflow.mp4 79.3 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. A Titanic Example - Understanding the data set..mp4 77.0 MB
3. Impacts, Importance and examples/3. Computers exploding! - The explosive growth of computer power explained..mp4 76.0 MB
8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Crash course in Python - Strings, Slices and Lists!.mp4 70.7 MB
8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Crash course in Python - Beginning concepts.mp4 64.6 MB
8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/4. Crash course in Python - Functions, Scope, Dictionaries and more!.mp4 59.8 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/6. A Titanic Example - Applying Decision Trees (example of overfit and underfit).mp4 58.9 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/3. A Titanic Example - Understanding the data set in regards to survival.mp4 57.4 MB

[磁力链接] 添加时间:2021-03-19 大小:2.6 GB 最近下载:2025-05-30 热度:811

Udemy - Python for Data Science and Machine Learning Bootcamp

26. Neural Nets and Deep Learning/8. Tensorflow Estimators.mp4 164.3 MB
26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.mp4 99.2 MB
26. Neural Nets and Deep Learning/7. MNIST - Part Two.mp4 98.7 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/1. TensorFlow Installation.mp4 72.6 MB
25. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
26. Neural Nets and Deep Learning/6. MNIST - Part One.mp4 61.2 MB
25. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 58.4 MB
18. K Nearest Neighbors/4. KNN Project Solutions.mp4 55.2 MB
1. Course Introduction/3.1 Py_DS_ML_Bootcamp-master.zip.zip 55.0 MB
2. Environment Set-Up/1.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
3. Jupyter Overview/2.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp4 53.9 MB
11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp4 53.6 MB
13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp4 52.2 MB
24. Natural Language Processing/6. NLP Project Solutions.mp4 50.4 MB
20. Support Vector Machines/2. Support Vector Machines with Python.mp4 49.8 MB
13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp4 49.6 MB
21. K Means Clustering/4. K Means Project Solutions.mp4 49.4 MB

[磁力链接] 添加时间:2021-03-19 大小:4.1 GB 最近下载:2025-03-15 热度:81

[08-2020] python-data-science-machine-learning-bootcamp

04 Introduction to Optimisation and the Gradient Descent Algorithm/036 [Python] - Loops and the Gradient Descent Algorithm.mp4 471.0 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/037 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 468.5 MB
12 Serving a Tensorflow Model through a Website/198 Introduction to OpenCV.mp4 453.3 MB
12 Serving a Tensorflow Model through a Website/200 Calculating the Centre of Mass and Shifting the Image.mp4 425.6 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/169 Model Evaluation and the Confusion Matrix.mp4 384.2 MB
03 Python Programming for Data Science and Machine Learning/021 [Python] - Module Imports.mp4 366.5 MB
11 Use Tensorflow to Classify Handwritten Digits/183 Different Model Architectures_ Experimenting with Dropout.mp4 352.1 MB
05 Predict House Prices with Multivariable Linear Regression/068 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 350.7 MB
12 Serving a Tensorflow Model through a Website/193 Loading a Tensorflow.js Model and Starting your own Server.mp4 336.9 MB
12 Serving a Tensorflow Model through a Website/195 Styling an HTML Canvas.mp4 327.6 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/038 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 317.0 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/167 Use the Model to Make Predictions.mp4 314.6 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/040 How to Create 3-Dimensional Charts.mp4 308.6 MB
12 Serving a Tensorflow Model through a Website/196 Drawing on an HTML Canvas.mp4 305.1 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/166 Use Regularisation to Prevent Overfitting_ Early Stopping & Dropout Techniques.mp4 301.0 MB
12 Serving a Tensorflow Model through a Website/199 Resizing and Adding Padding to Images.mp4 300.2 MB
12 Serving a Tensorflow Model through a Website/202 Adding the Game Logic.mp4 299.9 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/039 Understanding the Learning Rate.mp4 294.2 MB
08 Test and Evaluate a Naive Bayes Classifier_ Part 3/141 Visualising the Decision Boundary.mp4 290.8 MB
08 Test and Evaluate a Naive Bayes Classifier_ Part 3/146 A Naive Bayes Implementation using SciKit Learn.mp4 283.7 MB

[磁力链接] 添加时间:2021-03-19 大小:25.0 GB 最近下载:2025-06-01 热度:9223

[ FreeCourseWeb.com ] Udemy - Data Science Real-World Use Cases - Hands On Python.zip

[ FreeCourseWeb.com ] Udemy - Data Science Real-World Use Cases - Hands On Python.zip 4.1 GB

[磁力链接] 添加时间:2021-03-19 大小:4.1 GB 最近下载:2025-06-01 热度:2701

[ 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

[FreeTutorials.Eu] Udemy - TABLEAU 2018 Hands-On Tableau Training For Data Science!

7. Advanced Data Preparation/3. Data Interpreter.mp4 160.5 MB
4. Maps, Scatterplots, and Your First Dashboard/2. Joining Data in Tableau.mp4 115.3 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/6. The Showdown Joining Data v.s. Blending Data in Tableau.mp4 113.0 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/8. Creating Calculated Fields in a Blend (Advanced Topic).mp4 111.6 MB
8. Clusters, custom territories, design features/7. Modeling With Clusters.mp4 111.5 MB
6. Table Calculations, Advanced Dashboards, Storytelling/11. Creating a Storyline.mp4 107.2 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/1. Section Intro.mp4 103.7 MB
8. Clusters, custom territories, design features/2. Custom Territories Via Groups.mp4 103.5 MB
4. Maps, Scatterplots, and Your First Dashboard/3. Creating a Map, Working with Hierarchies.mp4 102.7 MB
8. Clusters, custom territories, design features/1. The Challenge Startup Expansion Analytics.mp4 98.4 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/5. Data Blending in Tableau.mp4 96.8 MB
5. Joining and Blending Data, PLUS Dual Axis Charts/7. Dual Axis Chart.mp4 93.0 MB
4. Maps, Scatterplots, and Your First Dashboard/7. Adding an Interactive Action - Highlighting.mp4 92.2 MB
3. Time series, Aggregation, and Filters/5. Creating an Area Chart & Learning About Highlighting.mp4 90.4 MB
9. What's new in Tableau 2018/5. Joining to Spatial Files.mp4 87.5 MB
9. What's new in Tableau 2018/8. Viz in Tolltip.mp4 86.5 MB
9. What's new in Tableau 2018/3. Connecting to PDF.mp4 84.1 MB
4. Maps, Scatterplots, and Your First Dashboard/6. Adding an Interactive Action - Filter.mp4 81.6 MB
6. Table Calculations, Advanced Dashboards, Storytelling/10. Analyzing the Customer Segmentation Dashboard.mp4 77.0 MB
3. Time series, Aggregation, and Filters/4. Understanding Aggregation, Granularity, and Level of Detail.mp4 76.8 MB

[磁力链接] 添加时间:2021-03-19 大小:4.3 GB 最近下载:2025-06-01 热度:1155

[Udemy] Python A-Z™ Python For Data Science With Real Exercises! (2021) [En]

6. Advanced Visualization/10. BONUS Building Dashboards in Python.mp4 111.1 MB
6. Advanced Visualization/11. BONUS Styling Tips.mp4 95.1 MB
5. Data Frames/6. Filtering a Data Frame.mp4 92.4 MB
5. Data Frames/4. Subsetting dataframes in Pandas.mp4 75.7 MB
4. Matrices/3. Building Your First Matrix.mp4 74.6 MB
4. Matrices/4. Dictionaries in Python.mp4 73.5 MB
6. Advanced Visualization/12. BONUS Finishing Touches.mp4 69.0 MB
6. Advanced Visualization/4. Stacked histograms in Python.mp4 60.3 MB
5. Data Frames/10. Keyword Arguments in Python (advanced tutorial).mp4 59.6 MB
4. Matrices/9. Advanced Function Design.mp4 59.5 MB
7. Homework Solutions/9. THANK YOU bonus video.mp4 54.8 MB
6. Advanced Visualization/8. Creating a Facet Grid.mp4 54.3 MB
7. Homework Solutions/4. Homework Solution Section 4 Basketball Free Throws.mp4 54.0 MB
6. Advanced Visualization/6. Working with Subplots().mp4 52.3 MB
4. Matrices/8. Creating Your First Function.mp4 50.9 MB
5. Data Frames/8. Introduction to Seaborn.mp4 49.1 MB
5. Data Frames/7. Using .at() and .iat() (advanced tutorial).mp4 46.0 MB
5. Data Frames/5. Basic operations with a Data Frame.mp4 44.5 MB
4. Matrices/10. Basketball Insights.mp4 43.5 MB
5. Data Frames/9. Visualizing With Seaborn Part 1.mp4 42.9 MB

[磁力链接] 添加时间:2021-03-20 大小:2.4 GB 最近下载:2025-05-25 热度:3295

[FreeCourseLab.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
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 118.2 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
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
7. Estimators and estimates/12. What is a margin of error and why is it important in Statistics.mp4 62.1 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

[磁力链接] 添加时间:2021-03-20 大小:3.0 GB 最近下载:2025-05-31 热度:1048

[ FreeCourseWeb.com ] The Complete NumPy course For Data Science - Hands-on NumPy (Updated).zip

[ FreeCourseWeb.com ] The Complete NumPy course For Data Science - Hands-on NumPy (Updated).zip 964.0 MB

[磁力链接] 添加时间:2021-03-20 大小:964.0 MB 最近下载:2025-05-31 热度:1597

[FreeAllCourse.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 to People.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.mp4 113.1 MB

[磁力链接] 添加时间:2021-03-20 大小:8.3 GB 最近下载:2025-05-30 热度:1281

[DMC.RIP] [Skillbox] Основы математики для Data Science (2020)

[DMC.RIP] 3.Аналитика и ML. Функции одной переменной, их свойства и графики/[DMC.RIP] 3.4 Элементарные функции и их свойства.mp4 129.4 MB
[DMC.RIP] 10.ML. Линейная регрессия и системы линейных уравнений/10.2 Задача аппроксимации как система линейных уравнений.mp4 121.4 MB
[DMC.RIP] 9.ML. Вектора и Матрицы. Градиент/9.3 Скалярное произведение векторов и линейная модель.mp4 101.2 MB
[DMC.RIP] 10.ML. Линейная регрессия и системы линейных уравнений/10.3 Представление СЛАУ в виде матричного уравнения.mp4 94.8 MB
[DMC.RIP] 5.ML. Аппроксимация и преобразования функций/5.2 Функция потерь.mp4 90.1 MB
[DMC.RIP] 6.ML. Аппроксимация и производные/[DMC.RIP] 6.6 Минимум MSE и техники вычисления производных (часть 2).mp4 90.1 MB
[DMC.RIP] 5.ML. Аппроксимация и преобразования функций/5.3 Преобразования функций. Сдвиги вправо и влево.mp4 88.8 MB
[DMC.RIP] 9.ML. Вектора и Матрицы. Градиент/9.5 Вектор функций и градиент.mp4 87.2 MB
[DMC.RIP] 7.ML. Функции нескольких переменных, их свойства и графики/7.2 Определение функции нескольких переменных.mp4 86.9 MB
[DMC.RIP] 10.ML. Линейная регрессия и системы линейных уравнений/10.1 Введение.mp4 86.5 MB
[DMC.RIP] 8.ML. Частные производные функции нескольких переменных/8.2 Задача аппроксимации функцией многих переменных.mp4 82.9 MB
[DMC.RIP] 11.Задача аппроксимации как матричное уравнение/11.3 Детерминант и нахождение обратных матриц (часть 1).mp4 82.5 MB
[DMC.RIP] 1.Аналитика и ML. Дроби и преобразования/[DMC.RIP] 1.2 Основные операции с дробями.mp4 79.8 MB
[DMC.RIP] 6.ML. Аппроксимация и производные/[DMC.RIP] 6.8 Сигмоида и еще несколько правил вычисления производных.mp4 79.3 MB
[DMC.RIP] 10.ML. Линейная регрессия и системы линейных уравнений/10.5 Переопределенные СЛАУ.mp4 74.3 MB
[DMC.RIP] 10.ML. Линейная регрессия и системы линейных уравнений/10.4 Решение СЛАУ с помощью sympy.mp4 69.0 MB
[DMC.RIP] 2.Аналитика и ML. Необходимые функции и некоторые дополнительные объекты/2.4 Логарифмы и их свойства.mp4 69.0 MB
[DMC.RIP] 11.Задача аппроксимации как матричное уравнение/11.4 Детерминант и нахождение обратных матриц (часть 2).mp4 68.8 MB
[DMC.RIP] 5.ML. Аппроксимация и преобразования функций/5.4 Преобразования функций. Растяжения и сжатия.mp4 68.3 MB
[DMC.RIP] 11.Задача аппроксимации как матричное уравнение/11.2 Решение задачи аппроксимации с помощью матриц.mp4 67.7 MB

[磁力链接] 添加时间:2021-03-20 大小:3.6 GB 最近下载:2025-05-25 热度:540

[ FreeCourseWeb.com ] Udemy - Introduction to AI, Machine Learning and Data Science 2020.zip

[ FreeCourseWeb.com ] Udemy - Introduction to AI, Machine Learning and Data Science 2020.zip 202.5 MB

[磁力链接] 添加时间:2021-03-20 大小:202.5 MB 最近下载:2025-05-24 热度:798

Curso completo de Machine Learning Data Science en Python - COMPLETO

8. Regresión logística con Python/7. Estimación con el método de máxima verosimilitud.mp4 476.4 MB
8. Regresión logística con Python/8. Crear un modelo logístico desde cero.mp4 461.6 MB
9. Clustering y clasificación/2. ¿Qué es y para qué sirve el clustering.mp4 347.6 MB
7. Regresión lineal con Python/19. Transformar las variables en relaciones no lineales.mp4 333.6 MB
14. Análisis de componentes principales/3. Demostración de cómo se hace un ACP.mp4 325.2 MB
10. Árboles y bosques aleatorios/5. Algoritmos para la generación de árboles de clasificación.mp4 323.2 MB
11. Máquinas de Soporte Vectorial/14. Práctica de SVM reconocimiento facial a lo CSI.mp4 322.4 MB
9. Clustering y clasificación/3. El concepto de distancia.mp4 320.8 MB
8. Regresión logística con Python/9. Análisis exploratorio de los datos.mp4 315.2 MB
9. Clustering y clasificación/17. Implementando la técnica del codo y el coeficiente de la silueta.mp4 313.1 MB
10. Árboles y bosques aleatorios/4. Entropía y ganancia de Información.mp4 310.3 MB
7. Regresión lineal con Python/16. Variables categóricas en una regresión lineal.mp4 298.3 MB
8. Regresión logística con Python/16. Implementación de las curvas ROC en Python.mp4 296.5 MB
15. Introducción a las redes neuronales y al deep learning con TensorFlow/7. La carga del dataset de imágenes.mp4 295.8 MB
7. Regresión lineal con Python/5. Sumas de los cuadrados totales, de las diferencias y de la regresión.mp4 294.4 MB
11. Máquinas de Soporte Vectorial/3. El problema de clasificación no óptimo.mp4 286.7 MB
11. Máquinas de Soporte Vectorial/15. Práctica de SVM Clasificación de las flores de Iris.mp4 281.7 MB
14. Análisis de componentes principales/6. Plotly, la librería de gráficos personalizados e interactivos.mp4 280.2 MB
9. Clustering y clasificación/10. Un clustering completo por donde cortamos el dendrograma.mp4 275.9 MB
9. Clustering y clasificación/6. Uniendo datos manualmente.mp4 265.8 MB

[磁力链接] 添加时间:2021-03-21 大小:28.0 GB 最近下载:2025-05-28 热度:1216

[2021] Data Science A-Z Bootcamp + Real Cases (Version 8.1)

[TutsNode.com] - Data Science A-Z Bootcamp/20. Excel Basic Formulas-I/2. Excel Basic Formulas-I Part-2.mp4 574.4 MB
[TutsNode.com] - Data Science A-Z Bootcamp/25. Excel Tables/2. Tables in Excel Part-2.mp4 191.9 MB
[TutsNode.com] - Data Science A-Z Bootcamp/11. Data Manipulation in R/2. Data Manipulation in R Part-2.mp4 167.1 MB
[TutsNode.com] - Data Science A-Z Bootcamp/12. Summarising the Data Graphically/2. Basic Graphs Part-2.mp4 155.8 MB
[TutsNode.com] - Data Science A-Z Bootcamp/25. Excel Tables/1. Tables in Excel Part-1.mp4 154.2 MB
[TutsNode.com] - Data Science A-Z Bootcamp/20. Excel Basic Formulas-I/6. Excel Basic Formulas-I Part-6.mp4 146.4 MB
[TutsNode.com] - Data Science A-Z Bootcamp/64. Tableau Module 12/3. Create Interactive Dashboards Part-3.mp4 134.4 MB
[TutsNode.com] - Data Science A-Z Bootcamp/53. Tableau Module 1/3. Data Visualization Process.mp4 134.3 MB
[TutsNode.com] - Data Science A-Z Bootcamp/23. Microsoft Excel Pivot Tables/2. Microsoft Excel Pivot Tables Part-2.mp4 129.1 MB
[TutsNode.com] - Data Science A-Z Bootcamp/22. Microsoft Excel Advanced Formulas-I/3. Microsoft Excel Advanced Formulas-I Part-3.mp4 127.1 MB
[TutsNode.com] - Data Science A-Z Bootcamp/22. Microsoft Excel Advanced Formulas-I/2. Microsoft Excel Advanced Formulas-I Part-2.mp4 124.9 MB
[TutsNode.com] - Data Science A-Z Bootcamp/27. Conditional Formatting/2. Conditional Formatting In Excel Part-2.mp4 122.8 MB
[TutsNode.com] - Data Science A-Z Bootcamp/23. Microsoft Excel Pivot Tables/1. Microsoft Excel Pivot Tables Part-1.mp4 122.0 MB
[TutsNode.com] - Data Science A-Z Bootcamp/15. Multi-Linear Regression/2. Multi-Linear Regression in R Part-2.mp4 121.0 MB
[TutsNode.com] - Data Science A-Z Bootcamp/7. Subsetting Data in R/2. Subset Command.mp4 120.5 MB
[TutsNode.com] - Data Science A-Z Bootcamp/22. Microsoft Excel Advanced Formulas-I/1. Microsoft Excel Advanced Formulas-I Part-1.mp4 117.4 MB
[TutsNode.com] - Data Science A-Z Bootcamp/16. Logistic Regression/1. Logistic Regression in R.mp4 116.0 MB
[TutsNode.com] - Data Science A-Z Bootcamp/16. Logistic Regression/2. Logistic Regression Model.mp4 114.2 MB
[TutsNode.com] - Data Science A-Z Bootcamp/21. Sum & Sumif/1. Sum & Sumif Part-1.mp4 112.0 MB
[TutsNode.com] - Data Science A-Z Bootcamp/75. Tableau Module 23/3. Analytics tab in Tableau Part-3.mp4 111.1 MB

[磁力链接] 添加时间:2021-03-21 大小:14.1 GB 最近下载:2025-06-01 热度:1764

[FreeAllCourse.Com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.5 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB

[磁力链接] 添加时间:2021-03-21 大小:6.4 GB 最近下载:2025-05-19 热度:1061

[ FreeCourseWeb.com ] Full-Stack Data Science Course.zip

[ FreeCourseWeb.com ] Full-Stack Data Science Course.zip 331.9 MB

[磁力链接] 添加时间:2021-03-21 大小:331.9 MB 最近下载:2025-05-09 热度:393

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

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

[磁力链接] 添加时间:2021-03-21 大小:1.4 GB 最近下载:2025-05-31 热度:2900

Applied Data Science with Python

[TutsNode.com] - Applied Data Science with Python/python-social-network-analysis/04_network-evolution/01_module-4-applications/03_small-world-networks.mp4 55.6 MB
[TutsNode.com] - Applied Data Science with Python/python-social-network-analysis/04_network-evolution/01_module-4-applications/04_link-prediction.mp4 44.2 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/03_module-3-evaluation/01_module-3-evaluation/01_model-evaluation-selection.mp4 33.3 MB
[TutsNode.com] - Applied Data Science with Python/python-text-mining/03_module-3-classification-of-text/01_module-3-classification-of-text/05_support-vector-machines.mp4 32.9 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/02_module-2-supervised-machine-learning-part-1/01_module-2-supervised-machine-learning/06_linear-regression-ridge-lasso-and-polynomial-regression.mp4 30.7 MB
[TutsNode.com] - Applied Data Science with Python/python-social-network-analysis/04_network-evolution/01_module-4-applications/01_preferential-attachment-model.mp4 30.7 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/02_module-2-supervised-machine-learning-part-1/01_module-2-supervised-machine-learning/12_decision-trees.mp4 28.8 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/04_module-4-supervised-machine-learning-part-2/01_module-4-supervised-machine-learning-part-2/04_neural-networks.mp4 28.4 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/09_k-nearest-neighbors-classification.mp4 28.2 MB
[TutsNode.com] - Applied Data Science with Python/python-text-mining/04_module-4-topic-modeling/01_module-4-topic-modeling/05_information-extraction.mp4 28.0 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/02_module-2-supervised-machine-learning-part-1/01_module-2-supervised-machine-learning/10_kernelized-support-vector-machines.mp4 28.0 MB
[TutsNode.com] - Applied Data Science with Python/python-social-network-analysis/03_influence-measures-and-network-centralization/01_module-3-influence-measures-and-network-centralization/02_betweenness-centrality.mp4 27.7 MB
[TutsNode.com] - Applied Data Science with Python/python-text-mining/03_module-3-classification-of-text/01_module-3-classification-of-text/03_naive-bayes-classifiers.mp4 27.7 MB
[TutsNode.com] - Applied Data Science with Python/python-social-network-analysis/03_influence-measures-and-network-centralization/01_module-3-influence-measures-and-network-centralization/05_hubs-and-authorities.mp4 27.5 MB
[TutsNode.com] - Applied Data Science with Python/python-social-network-analysis/02_network-connectivity/01_module-2-network-connectivity/02_distance-measures.mp4 27.3 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/02_module-2-supervised-machine-learning-part-1/01_module-2-supervised-machine-learning/01_introduction-to-supervised-machine-learning.mp4 26.2 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/02_module-2-supervised-machine-learning-part-1/01_module-2-supervised-machine-learning/05_linear-regression-least-squares.mp4 25.1 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/04_key-concepts-in-machine-learning.mp4 25.0 MB
[TutsNode.com] - Applied Data Science with Python/python-text-mining/02_module-2-basic-natural-language-processing/01_module-2-basic-natural-language-processing/02_basic-nlp-tasks-with-nltk.mp4 24.6 MB
[TutsNode.com] - Applied Data Science with Python/python-text-mining/01_module-1-working-with-text-in-python/01_module-1-working-with-text-in-python/04_handling-text-in-python.mp4 24.5 MB

[磁力链接] 添加时间:2021-03-21 大小:2.1 GB 最近下载:2025-06-01 热度:14956

GetFreeCourses.Me-Udemy-Python for Data Science and Machine Learning Bootcamp

25. Neural Nets and Deep Learning/30. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp4 79.7 MB
25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Neural Nets and Deep Learning/7. Activation Functions.mp4 65.6 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
25. Neural Nets and Deep Learning/10. Backpropagation.mp4 60.8 MB

[磁力链接] 添加时间:2021-03-22 大小:5.5 GB 最近下载:2025-06-01 热度:5977