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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:
2025-10-25
热度:
1333
GetFreeCourses.Co-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.srt
148.5 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
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
10. Deep Learning and Neural Networks/8. [Activity] Using Tensorflow, Part 2.mp4
113.9 MB
[磁力链接]
添加时间:
2021-04-10
大小:
8.5 GB
最近下载:
2025-10-16
热度:
1332
[FreeTutorials.Us] Udemy - complete-guide-to-tensorflow-for-deep-learning-with-python
01 Introduction/001 Introduction.mp4
12.5 MB
01 Introduction/001 Introduction-subtitle-en.vtt
4.0 kB
01 Introduction/002 Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks _).mp4
17.2 MB
01 Introduction/002 Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks _)-subtitle-en.vtt
14.8 kB
01 Introduction/002 TensorFlow-Bootcamp.zip
305.2 MB
01 Introduction/003 TensorFlow-Bootcamp.zip
305.2 MB
02 Installation and Setup/005 Installing TensorFlow Environment.mp4
29.2 MB
02 Installation and Setup/005 Installing TensorFlow Environment-subtitle-en.vtt
17.5 kB
03 What is Machine Learning_/006 Machine Learning Overview.mp4
31.9 MB
03 What is Machine Learning_/006 Machine Learning Overview-subtitle-en.vtt
24.1 kB
03 What is Machine Learning_/links-to-visit.txt
147 Bytes
04 Crash Course Overview/007 Crash Course Section Introduction.mp4
2.3 MB
04 Crash Course Overview/007 Crash Course Section Introduction-subtitle-en.vtt
1.8 kB
04 Crash Course Overview/008 NumPy Crash Course.mp4
34.1 MB
04 Crash Course Overview/008 NumPy Crash Course-subtitle-en.vtt
20.7 kB
04 Crash Course Overview/009 Pandas Crash Course.mp4
9.5 MB
04 Crash Course Overview/009 Pandas Crash Course-subtitle-en.vtt
6.0 kB
04 Crash Course Overview/010 Data Visualization Crash Course.mp4
20.5 MB
04 Crash Course Overview/010 Data Visualization Crash Course-subtitle-en.vtt
10.3 kB
04 Crash Course Overview/011 SciKit Learn Preprocessing Overview.mp4
21.3 MB
[磁力链接]
添加时间:
2018-01-28
大小:
2.1 GB
最近下载:
2025-10-02
热度:
1331
[FreeTutorials.Us] data-science-and-machine-learning-with-python-hands-on
01 Getting Started/001 Introduction.mp4
60.4 MB
01 Getting Started/002 Activity Getting What You Need.mp4
34.2 MB
01 Getting Started/003 Activity Installing Enthought Canopy.mp4
50.1 MB
01 Getting Started/004 Python Basics Part 1.mp4
67.0 MB
01 Getting Started/005 Activity Python Basics Part 2.mp4
44.5 MB
01 Getting Started/006 Running Python Scripts.mp4
36.8 MB
02 Statistics and Probability Refresher and Python Practise/007 Types of Data.mp4
51.9 MB
02 Statistics and Probability Refresher and Python Practise/008 Mean Median Mode.mp4
46.8 MB
02 Statistics and Probability Refresher and Python Practise/009 Activity Using mean median and mode in Python.mp4
62.0 MB
02 Statistics and Probability Refresher and Python Practise/010 Activity Variation and Standard Deviation.mp4
70.3 MB
02 Statistics and Probability Refresher and Python Practise/011 Probability Density Function Probability Mass Function.mp4
19.4 MB
02 Statistics and Probability Refresher and Python Practise/012 Common Data Distributions.mp4
44.0 MB
02 Statistics and Probability Refresher and Python Practise/013 Activity Percentiles and Moments.mp4
66.1 MB
02 Statistics and Probability Refresher and Python Practise/014 Activity A Crash Course in matplotlib.mp4
75.3 MB
02 Statistics and Probability Refresher and Python Practise/015 Activity Covariance and Correlation.mp4
76.3 MB
02 Statistics and Probability Refresher and Python Practise/016 Exercise Conditional Probability.mp4
52.0 MB
02 Statistics and Probability Refresher and Python Practise/017 Exercise Solution Conditional Probability of Purchase by Age.mp4
23.8 MB
02 Statistics and Probability Refresher and Python Practise/018 Bayes Theorem.mp4
48.2 MB
03 Predictive Models/019 Activity Linear Regression.mp4
48.2 MB
03 Predictive Models/020 Activity Polynomial Regression.mp4
46.6 MB
[磁力链接]
添加时间:
2017-08-05
大小:
4.1 GB
最近下载:
2025-07-30
热度:
1329
[ FreeCourseWeb.com ] Real-World Machine Learning Project - DNA Classification Project With Python
~Get Your Files Here !/07-generating_a_dna_sequence.mkv
223.2 MB
~Get Your Files Here !/10-scoring_method_and_results.mkv
113.9 MB
~Get Your Files Here !/08-analysing_dna_sequence.mkv
107.4 MB
~Get Your Files Here !/05-importing_library_and_data.mkv
85.5 MB
~Get Your Files Here !/09-splitting_the_dataset_into_training_test_and_test_set.mkv
52.5 MB
~Get Your Files Here !/06-data_preprocessing.mkv
30.6 MB
~Get Your Files Here !/04-introduction_to_the_project.mkv
27.0 MB
~Get Your Files Here !/12-thank_you.mkv
20.4 MB
~Get Your Files Here !/01-class_structure.mkv
14.6 MB
~Get Your Files Here !/Sample/skillshare.real-world.machine.learning.project.dna.classification.project.with.python-skilledhares-sample.mkv
10.3 MB
~Get Your Files Here !/11-summary.mkv
7.9 MB
~Get Your Files Here !/02-what_is_the_prerequisite_of_this_class.mkv
7.5 MB
~Get Your Files Here !/03-important_note_about_tools_in_this_class.mkv
6.3 MB
~Get Your Files Here !/Bonus Resources.txt
357 Bytes
Get Bonus Downloads Here.url
183 Bytes
[磁力链接]
添加时间:
2023-12-18
大小:
706.9 MB
最近下载:
2025-10-24
热度:
1324
[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:
2025-10-18
热度:
1323
Introduction to Machine Learning & Face Detection in Python (2015)
Introduction to Machine Learning & Face Detection in Python.tgz
846.0 MB
Torrent downloaded from demonoid.pw.txt
46 Bytes
Torrent Downloaded From ExtraTorrent.cc.txt
352 Bytes
[磁力链接]
添加时间:
2017-02-08
大小:
846.0 MB
最近下载:
2025-10-21
热度:
1320
[FreeCourseSite.com] Udemy - Neural Networks in Python Deep Learning for Beginners
11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4
163.4 MB
13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4
158.9 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4
128.1 MB
15. Add-on 1 Data Preprocessing/13. Bi-variate analysis and Variable transformation.mp4
105.3 MB
16. Add-on 2 Classic ML models - Linear Regression/3. Assessing accuracy of predicted coefficients.mp4
96.6 MB
12. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4
96.6 MB
3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4
90.8 MB
10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4
85.7 MB
10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4
83.0 MB
15. Add-on 1 Data Preprocessing/18. Correlation Analysis.mp4
75.1 MB
15. Add-on 1 Data Preprocessing/9. Outlier Treatment in Python.mp4
73.6 MB
10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4
73.3 MB
16. Add-on 2 Classic ML models - Linear Regression/9. Multiple Linear Regression in Python.mp4
73.1 MB
15. Add-on 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp4
72.7 MB
2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4
68.3 MB
2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4
67.6 MB
16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.mp4
66.5 MB
5. Important concepts Common Interview questions/1. Some Important Concepts.mp4
65.2 MB
15. Add-on 1 Data Preprocessing/7. EDD in Python.mp4
64.8 MB
14. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4
63.6 MB
[磁力链接]
添加时间:
2022-01-09
大小:
3.3 GB
最近下载:
2025-10-24
热度:
1319
[LinkedIn Learning] Bill Weinman - Python Essential Training
15. Databases/2. A database interface.mp4
37.6 MB
15. Databases/3. Example- Short URL database.mp4
33.7 MB
2. Installation/1. Installing Python and PyCharm on a Mac.mp4
33.1 MB
8. Functions/2. Function arguments.mp4
21.7 MB
14. Modules/2. Creating a module.mp4
18.6 MB
14. Modules/1. Using standard modules.mp4
17.6 MB
11. String Objects/3. Formatting strings.mp4
16.5 MB
9. Classes/2. Constructing an object.mp4
14.7 MB
10. Exceptions/1. Handling exceptions.mp4
14.6 MB
8. Structured Data/3. Dictionaries.mp4
14.6 MB
2. Installation/2. Installing Python and Komodo on Windows.mp4
14.2 MB
9. Classes/3. Class methods.mp4
14.1 MB
9. Classes/4. Object data.mp4
14.0 MB
13. Built In Functions/2. String functions.mp4
13.2 MB
11. String Objects/2. Common string methods.mp4
13.0 MB
8. Functions/7. Decorators.mp4
13.0 MB
8. Structured Data/2. Lists and tuples.mp4
12.9 MB
15. Databases/1. Python database API.mp4
12.5 MB
9. Classes/5. Inheritance.mp4
12.5 MB
8. Functions/1. Defining a function.mp4
12.4 MB
[磁力链接]
添加时间:
2021-05-12
大小:
654.6 MB
最近下载:
2025-10-19
热度:
1312
[FreeCourseLab.com] Udemy - Machine Learning, Data Science and Deep Learning with Python
8. Apache Spark Machine Learning on Big Data/8. [Activity] Decision Trees in Spark.mp4
202.6 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4
180.7 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
1. Getting Started/5. Python Basics, Part 1 [Optional].mp4
140.3 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4
140.3 MB
10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 2.mp4
140.1 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
2. Statistics and Probability Refresher, and Python Practise/10. [Exercise] Conditional Probability.mp4
136.7 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4
135.7 MB
2. Statistics and Probability Refresher, and Python Practise/8. [Activity] A Crash Course in matplotlib.mp4
135.6 MB
10. Deep Learning and Neural Networks/14. The Ethics of Deep Learning.mp4
134.5 MB
1. Getting Started/8. Introducing the Pandas Library [Optional].mp4
134.1 MB
3. Predictive Models/3. [Activity] Multivariate Regression, and Predicting Car Prices.mp4
129.8 MB
2. Statistics and Probability Refresher, and Python Practise/9. [Activity] Covariance and Correlation.mp4
122.4 MB
2. Statistics and Probability Refresher, and Python Practise/7. [Activity] Percentiles and Moments.mp4
119.6 MB
8. Apache Spark Machine Learning on Big Data/12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.mp4
119.3 MB
8. Apache Spark Machine Learning on Big Data/11. [Activity] Searching Wikipedia with Spark.mp4
116.9 MB
2. Statistics and Probability Refresher, and Python Practise/4. [Activity] Variation and Standard Deviation.mp4
116.2 MB
[磁力链接]
添加时间:
2021-04-18
大小:
7.9 GB
最近下载:
2025-10-25
热度:
1309
[DesireCourse.Net] Udemy - Python required for Data Science and Machine Learning 2020
6. Python Basics V/2. Topic 2.mp4
83.6 MB
8. Exploratory Data Analysis/2. Case Study - Topic 2.mp4
65.1 MB
6. Python Basics V/1. Topic 1.mp4
63.6 MB
3. Python Basics II/4. Topic 4.mp4
48.7 MB
7. Visualization Tools/2. Matplotlib - Topic 2.mp4
41.8 MB
5. Python Basics IV/1. Topic 1.mp4
34.9 MB
5. Python Basics IV/4. Topic 4.mp4
32.9 MB
3. Python Basics II/3. Topic 3.mp4
28.4 MB
1. Introduction/3. What is Machine Learning and Data Science.mp4
28.3 MB
5. Python Basics IV/2. Topic 2.mp4
27.4 MB
3. Python Basics II/2. Topic 2.mp4
26.7 MB
9. Available Machine Learning Tools/2. Topic 2.mp4
23.8 MB
2. Python Basic I/4. Topic 2.mp4
22.3 MB
2. Python Basic I/2. Installation.mp4
21.3 MB
7. Visualization Tools/3. Seaborn- Topic 1.mp4
18.8 MB
5. Python Basics IV/3. Topic 3.srt
18.0 MB
5. Python Basics IV/3. Topic 3.mp4
18.0 MB
4. Python Basics III/1. Topic 1.mp4
17.0 MB
7. Visualization Tools/7. Seaborn- Topic 5.mp4
16.8 MB
4. Python Basics III/4. Topic 4.mp4
15.1 MB
[磁力链接]
添加时间:
2022-04-25
大小:
778.2 MB
最近下载:
2025-10-18
热度:
1308
[FreeCourseSite.com] Udemy - Machine Learning Classification Bootcamp in Python
4. Logistic Regression/6. Logistic Regression - Project #1 - Part #3.mp4
168.6 MB
7. Decision Trees and Random Forest/13. Decision Trees & Random Forest - Project #2 - Part #1.mp4
164.0 MB
5. Support Vector Machines/9. Support Vector Machines - Project #1 - Part #7.mp4
155.1 MB
2. What is Machine Learning The Big Picture/2. What is Machine Learning The Big Picture Part #2.mp4
144.2 MB
8. Naive Bayes Classifiers/2. Naive Bayes Intuition.mp4
143.1 MB
1. Introduction/2.1 ML Classification Package.zip
138.2 MB
8. Naive Bayes Classifiers/3. Naive Bayes - Mathematics.mp4
134.0 MB
5. Support Vector Machines/4. Support Vector Machines - Project #1 - Part #2.mp4
129.1 MB
3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/3. How to run a Jupyter Notebook.mp4
128.8 MB
6. K-Nearest Neighbors/8. KNN - Project #2 - Part #1.mp4
126.7 MB
5. Support Vector Machines/5. Support Vector Machines - Project #1 - Part #3.mp4
125.6 MB
8. Naive Bayes Classifiers/6. Project #1 - Part #3.mp4
124.8 MB
7. Decision Trees and Random Forest/2. Decision Trees - Intuition.mp4
123.6 MB
8. Naive Bayes Classifiers/11. Project #2 - Part #1.mp4
116.5 MB
7. Decision Trees and Random Forest/16. Decision Trees & Random Forest - Project #2 - Part #4.mp4
114.7 MB
6. K-Nearest Neighbors/2. K-Nearest Neighbors - Intuition.mp4
112.4 MB
4. Logistic Regression/7. Logistic Regression - Project #1 - Part #4.mp4
102.8 MB
2. What is Machine Learning The Big Picture/1. What is Machine Learning The Big Picture Part #1.mp4
100.2 MB
1. Introduction/5. Course Overview.mp4
99.5 MB
5. Support Vector Machines/2. Support Vector Machines - Intuition.mp4
99.2 MB
[磁力链接]
添加时间:
2021-03-11
大小:
6.1 GB
最近下载:
2025-10-23
热度:
1307
[ DevCourseWeb.com ] Udemy - Keras Deep Learning Python Crash Course - Learn Keras Today!
~Get Your Files Here !/4 - Building Convolutional Neural Network/10 - Solving the problem with Keras.mp4
113.3 MB
~Get Your Files Here !/5 - Building Recurrent Neural Network/13 - Solving the problem with Keras.mp4
104.7 MB
~Get Your Files Here !/3 - Building Deep Neural Network/8 - Solving the problem with Keras.mp4
98.7 MB
~Get Your Files Here !/1 - Introduction to Keras/2 - Environment setup and Installations.mp4
93.9 MB
~Get Your Files Here !/4 - Building Convolutional Neural Network/11 - Building VGG16 network architecture.mp4
76.9 MB
~Get Your Files Here !/2 - Building a Simple Keras model/4 - Compiling the Model.mp4
41.4 MB
~Get Your Files Here !/1 - Introduction to Keras/1 - Different DeepLearning Frameworks vs Keras.mp4
35.9 MB
~Get Your Files Here !/2 - Building a Simple Keras model/5 - Fitting the Model.mp4
35.8 MB
~Get Your Files Here !/4 - Building Convolutional Neural Network/9 - Explanation and Problem Description.mp4
32.9 MB
~Get Your Files Here !/2 - Building a Simple Keras model/3 - Define Model Architecture.mp4
32.3 MB
~Get Your Files Here !/3 - Building Deep Neural Network/7 - Explanation and Problem Description.mp4
24.9 MB
~Get Your Files Here !/2 - Building a Simple Keras model/6 - Evaluating and Predicting with the Model.mp4
20.8 MB
~Get Your Files Here !/5 - Building Recurrent Neural Network/12 - Explanation and Problem Description.mp4
17.2 MB
~Get Your Files Here !/7 - Conclusion/16 - Conclusion.mp4
6.8 MB
~Get Your Files Here !/7 - Conclusion/17 - Bonus Lecture Course discounts newsletter.mp4
814.2 kB
~Get Your Files Here !/3 - Building Deep Neural Network/8 - Solving the problem with Keras English.vtt
13.0 kB
~Get Your Files Here !/5 - Building Recurrent Neural Network/13 - Solving the problem with Keras English.vtt
10.5 kB
~Get Your Files Here !/4 - Building Convolutional Neural Network/10 - Solving the problem with Keras English.vtt
10.0 kB
~Get Your Files Here !/1 - Introduction to Keras/1 - Different DeepLearning Frameworks vs Keras English.vtt
9.6 kB
~Get Your Files Here !/4 - Building Convolutional Neural Network/11 - Building VGG16 network architecture English.vtt
7.5 kB
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2024-02-06
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736.4 MB
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2025-10-04
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Udemy - Modern Deep Learning in Python [Lazy Programmer Inc.]
17. Appendix/4. Windows-Focused Environment Setup 2018.mp4
195.4 MB
15. PyTorch/1. PyTorch Basics.mp4
122.5 MB
17. Appendix/10. Proof that using Jupyter Notebook is the same as not using it.mp4
82.1 MB
17. Appendix/2. What's the difference between neural networks and deep learning.mp4
47.3 MB
11. Project Facial Expression Recognition/5. Class-Based ANN in Theano.mp4
46.1 MB
17. Appendix/5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
46.1 MB
17. Appendix/9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
40.9 MB
14. Keras/3. Keras Functional API.mp4
40.5 MB
17. Appendix/14. What order should I take your courses in (part 2).mp4
39.4 MB
11. Project Facial Expression Recognition/6. Class-Based ANN in TensorFlow.mp4
39.2 MB
15. PyTorch/3. PyTorch Batch Norm.mp4
35.5 MB
15. PyTorch/2. PyTorch Dropout.mp4
34.3 MB
17. Appendix/13. What order should I take your courses in (part 1).mp4
30.8 MB
9. GPU Speedup, Homework, and Other Misc Topics/1. Setting up a GPU Instance on Amazon Web Services.mp4
26.9 MB
17. Appendix/7. How to Code by Yourself (part 1).mp4
25.7 MB
8. TensorFlow/2. Building a neural network in TensorFlow.mp4
25.0 MB
8. TensorFlow/3. What is a Session (And more).mp4
24.7 MB
2. Review/1. Review of Basic Concepts.mp4
24.5 MB
12. Modern Regularization Techniques/2. Dropout Regularization.mp4
23.8 MB
7. Theano/2. Building a neural network in Theano.mp4
22.8 MB
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2024-02-12
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2025-09-20
热度:
1304
[FreeCourseLab.com] Udemy - Machine Learning & Deep Learning in Python & R
27 ANN in R/008 Saving - Restoring Models and Using Callbacks.mp4
226.5 MB
37 Time Series - Preprocessing in Python/003 Time Series - Visualization in Python.mp4
173.2 MB
18 Ensemble technique 3 - Boosting/007 XGBoosting in R.mp4
169.1 MB
26 ANN in Python/009 Building Neural Network for Regression Problem.mp4
163.5 MB
26 ANN in Python/011 Saving - Restoring Models and Using Callbacks.mp4
158.9 MB
23 Creating Support Vector Machine Model in R/004 Classification SVM model using Linear Kernel.mp4
145.9 MB
27 ANN in R/006 Building Regression Model with Functional API.mp4
137.5 MB
27 ANN in R/003 Building,Compiling and Training.mp4
137.1 MB
34 Transfer Learning _ Basics/006 Project - Transfer Learning - VGG16.mp4
135.4 MB
07 Linear Regression/020 Ridge regression and Lasso in Python.mp4
135.1 MB
25 Neural Networks - Stacking cells to create network/003 Back Propagation.mp4
128.1 MB
38 Time Series - Important Concepts/005 Differencing in Python.mp4
118.5 MB
37 Time Series - Preprocessing in Python/005 Time Series - Feature Engineering in Python.mp4
118.2 MB
27 ANN in R/002 Data Normalization and Test-Train Split.mp4
117.2 MB
05 Introduction to Machine Learning/001 Introduction to Machine Learning.mp4
114.5 MB
37 Time Series - Preprocessing in Python/001 Data Loading in Python.mp4
114.1 MB
23 Creating Support Vector Machine Model in R/008 SVM based Regression Model in R.mp4
111.3 MB
07 Linear Regression/021 Ridge regression and Lasso in R.mp4
108.5 MB
14 Simple Decision Trees/013 Building a Regression Tree in R.mp4
108.3 MB
35 Transfer Learning in R/001 Project - Transfer Learning - VGG16 (Implementation).mp4
106.5 MB
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添加时间:
2024-01-27
大小:
14.1 GB
最近下载:
2025-10-25
热度:
1301
[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
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添加时间:
2021-03-11
大小:
8.2 GB
最近下载:
2025-10-26
热度:
1296
[ CourseLala.com ] Udemy - Machine Learning with Python for 2022
~Get Your Files Here !/5. Logistic regression.mp4
225.0 MB
~Get Your Files Here !/6. Decision boundaries.mp4
219.5 MB
~Get Your Files Here !/11. K-means clustering with sklearn.mp4
182.0 MB
~Get Your Files Here !/4. sklearn pipeline.mp4
166.3 MB
~Get Your Files Here !/2. Train test split.mp4
147.9 MB
~Get Your Files Here !/7. Confusion Matrices.mp4
130.3 MB
~Get Your Files Here !/8. Recall and Precision.mp4
121.3 MB
~Get Your Files Here !/10. K-means clustering.mp4
118.5 MB
~Get Your Files Here !/1. Introduction Linear Regression.mp4
111.8 MB
~Get Your Files Here !/9. Regularization and standardization.mp4
35.4 MB
~Get Your Files Here !/3. Model evaluation.mp4
14.8 MB
~Get Your Files Here !/Bonus Resources.txt
357 Bytes
Get Bonus Downloads Here.url
180 Bytes
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添加时间:
2022-02-09
大小:
1.5 GB
最近下载:
2025-09-14
热度:
1295
[GigaCourse.Com] Udemy - Diploma in Python with Data Science and Machine Learning
12. 13. (BONUS SERIES) Java Programming/6. 6. Arrays in Java.mp4
1.4 GB
12. 13. (BONUS SERIES) Java Programming/9. 09. Operators in Java.mp4
1.4 GB
12. 13. (BONUS SERIES) Java Programming/1. 1. Java introduction.mp4
1.1 GB
12. 13. (BONUS SERIES) Java Programming/10. 10. Type Casting in Java.mp4
752.1 MB
12. 13. (BONUS SERIES) Java Programming/7. 7. Strings in Java part 1.mp4
657.8 MB
12. 13. (BONUS SERIES) Java Programming/5. 5. Literals in Java.mp4
586.7 MB
12. 13. (BONUS SERIES) Java Programming/2. 2. Variables in Java.mp4
516.4 MB
12. 13. (BONUS SERIES) Java Programming/8. 8. Strings in Java part 2.mp4
490.0 MB
12. 13. (BONUS SERIES) Java Programming/11. 11. Control statement If else in Java.mp4
464.7 MB
12. 13. (BONUS SERIES) Java Programming/12. 12. Switch Statement in Java.mp4
318.2 MB
12. 13. (BONUS SERIES) Java Programming/4. 4. Reserved Keywords in Java.mp4
192.8 MB
15. Project Based Learning and Mini Project/7. PBL7.mp4
161.4 MB
17. CSS/8. Web Development CSS 8.mp4
157.4 MB
12. 13. (BONUS SERIES) Java Programming/3. 3. Identifiers in Java.mp4
152.3 MB
16. Web Development Bootcamp/1. 1. Web development 1.mp4
149.2 MB
17. CSS/9. Web Development CSS 9.mp4
140.1 MB
13. 12. Advanced Machine Learning/5. 05. Case study.mp4
139.5 MB
17. CSS/7. Web Development CSS 7.mp4
133.7 MB
13. 12. Advanced Machine Learning/9. 09. Decision Tree.mp4
133.4 MB
14. Speech Recognition by Python ( Mini Project )/2. Computer vision lecture 1.mp4
115.5 MB
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添加时间:
2024-05-16
大小:
13.8 GB
最近下载:
2025-10-25
热度:
1293
[Udemy] Python for Data Science and Machine Learning Bootcamp (2020) [En]
25. Neural Nets and Deep Learning/31. Tensorboard.mp4
151.2 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4
150.6 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4
143.6 MB
25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4
131.0 MB
25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4
116.8 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4
101.5 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4
90.7 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4
89.5 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4
88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4
86.7 MB
25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4
84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4
80.1 MB
25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4
79.9 MB
25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4
79.7 MB
18. K Nearest Neighbors/4. KNN Project Solutions.mp4
74.3 MB
26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4
74.2 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4
74.1 MB
25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4
72.3 MB
25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4
67.9 MB
25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4
66.2 MB
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2021-04-02
大小:
6.0 GB
最近下载:
2025-10-11
热度:
1285
[Tutorialsplanet.NET] Udemy - Machine Learning Regression Masterclass in Python
4. REGRESSION KEY PERFORMANCE INDICATORS/4. Bias Variance Tradeoff.mp4
199.4 MB
6. MULTIPLE LINEAR REGRESSION/5. Project #1 - Model Training and Evaluation.mp4
165.2 MB
3. SIMPLE LINEAR REGRESSION/8. Project #1 - Test Model.mp4
150.8 MB
1. INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/4. ML vs. DL vs. AI.mp4
150.7 MB
9. LASSO AND RIDGE REGRESSION/5. Ridge and Lasso in Practice.mp4
148.9 MB
6. MULTIPLE LINEAR REGRESSION/6. Project #1 - Model Results Evaluation.mp4
142.3 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/12. Evaluate the Model.mp4
138.7 MB
6. MULTIPLE LINEAR REGRESSION/12. Project #2 - Retraining Model.mp4
135.6 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/9. Project - Visualize Dataset.mp4
135.5 MB
4. REGRESSION KEY PERFORMANCE INDICATORS/2. Regression Metric Part 1.mp4
134.6 MB
3. SIMPLE LINEAR REGRESSION/4. Project #1 - Overview.mp4
132.9 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/11. Train the Model.mp4
127.7 MB
6. MULTIPLE LINEAR REGRESSION/9. Project #2 - Data Visualization.mp4
123.3 MB
3. SIMPLE LINEAR REGRESSION/2. Simple Linear Regression Intuition.mp4
102.6 MB
7. LOGISTIC REGRESSION/7. Project #2 - Training Testing.mp4
97.9 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/5. Theory Part 4.mp4
95.0 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/14. Model Improvement with more features.mp4
95.0 MB
9. LASSO AND RIDGE REGRESSION/2. Ridge Lasso Part 1.mp4
92.8 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/8. Project - Load Dataset.mp4
91.0 MB
7. LOGISTIC REGRESSION/8. Model Testing Visualization.mp4
89.9 MB
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添加时间:
2021-06-04
大小:
5.3 GB
最近下载:
2025-09-19
热度:
1282
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