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[FreeCourseSite.com] Udemy - Machine Learning & Deep Learning in Python & R
27. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4
226.5 MB
37. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4
173.2 MB
18. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4
169.1 MB
26. ANN in Python/9. Building Neural Network for Regression Problem.mp4
163.5 MB
26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4
158.9 MB
23. Creating Support Vector Machine Model in R/4. Classification SVM model using Linear Kernel.mp4
145.9 MB
27. ANN in R/6. Building Regression Model with Functional API.mp4
137.5 MB
27. ANN in R/3. Building,Compiling and Training.mp4
137.1 MB
34. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4
135.4 MB
7. Linear Regression/20. Ridge regression and Lasso in Python.mp4
135.1 MB
25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4
128.1 MB
38. Time Series - Important Concepts/5. Differencing in Python.mp4
118.5 MB
37. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4
118.2 MB
27. ANN in R/2. Data Normalization and Test-Train Split.mp4
117.2 MB
5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4
114.5 MB
37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4
114.1 MB
23. Creating Support Vector Machine Model in R/8. SVM based Regression Model in R.mp4
111.3 MB
7. Linear Regression/21. Ridge regression and Lasso in R.mp4
108.5 MB
14. Simple Decision Trees/13. Building a Regression Tree in R.mp4
108.3 MB
35. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4
106.5 MB
[磁力链接]
添加时间:
2021-05-21
大小:
14.2 GB
最近下载:
2025-07-13
热度:
1586
[Udemy] Complete Guide to TensorFlow for Deep Learning with Python (2020) [En]
1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip
314.2 MB
1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip
314.2 MB
6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp4
60.6 MB
7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4
52.6 MB
8. Recurrent Neural Networks/13. Quick Note on Word2Vec.srt
47.1 MB
10. AutoEncoders/5. Stacked Autoencoder.mp4
46.1 MB
5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4
42.5 MB
9. Miscellaneous Topics/6. Tensorboard.mp4
41.9 MB
10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp4
39.4 MB
11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp4
37.6 MB
8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp4
37.3 MB
8. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4
36.8 MB
7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4
36.6 MB
8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4
35.8 MB
8. Recurrent Neural Networks/16. Word2Vec Part Two.mp4
35.0 MB
9. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.mp4
35.0 MB
11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp4
34.4 MB
6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4
34.1 MB
4. Crash Course Overview/2. NumPy Crash Course.mp4
34.1 MB
6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4
33.5 MB
[磁力链接]
添加时间:
2021-04-21
大小:
2.5 GB
最近下载:
2025-07-12
热度:
554
[ FreeCourseWeb.com ] SkillShare - Learning Python Programming A-Z with Real World Simulations.rar
[ FreeCourseWeb.com ] SkillShare - Learning Python Programming A-Z with Real World Simulations.rar
1.9 GB
[磁力链接]
添加时间:
2021-05-02
大小:
1.9 GB
最近下载:
2025-07-04
热度:
69
[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science
36. Kernel PCA/3. Kernel PCA in R.mp4
59.3 MB
1. Welcome to the course!/5. Updates on Udemy Reviews.mp4
55.5 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
6. Polynomial Regression/10. Polynomial Regression in R - Step 3.mp4
45.4 MB
28. Thompson Sampling/4. Thompson Sampling in Python - Step 1.mp4
45.2 MB
[磁力链接]
添加时间:
2021-03-11
大小:
6.1 GB
最近下载:
2025-07-03
热度:
596
[UdemyCourseDownloader] Data Science, Deep Learning, & Machine Learning with Python
08 Apache Spark_ Machine Learning on Big Data/061 [Activity] Decision Trees in Spark.mp4
92.5 MB
08 Apache Spark_ Machine Learning on Big Data/057 [Activity] Installing Spark - Part 2.mp4
90.0 MB
06 More Data Mining and Machine Learning Techniques/048 Reinforcement Learning.mp4
66.6 MB
05 Recommender Systems/041 [Activity] Making Movie Recommendations to People.mp4
66.3 MB
08 Apache Spark_ Machine Learning on Big Data/062 [Activity] K-Means Clustering in Spark.mp4
65.9 MB
07 Dealing with Real-World Data/052 [Activity] Cleaning web log data.mp4
63.1 MB
08 Apache Spark_ Machine Learning on Big Data/064 [Activity] Searching Wikipedia with Spark.mp4
62.7 MB
06 More Data Mining and Machine Learning Techniques/044 [Activity] Using KNN to predict a rating for a movie.mp4
62.1 MB
06 More Data Mining and Machine Learning Techniques/047 Data Warehousing Overview_ ETL and ELT.mp4
56.7 MB
10 Deep Learning and Neural Networks/084 The Ethics of Deep Learning.mp4
56.3 MB
06 More Data Mining and Machine Learning Techniques/046 [Activity] PCA Example with the Iris data set.mp4
55.9 MB
03 Predictive Models/022 [Activity] Multivariate Regression_ and Predicting Car Prices.mp4
52.4 MB
02 Statistics and Probability Refresher_ and Python Practise/016 [Activity] Covariance and Correlation.mp4
52.2 MB
02 Statistics and Probability Refresher_ and Python Practise/017 [Exercise] Conditional Probability.mp4
52.0 MB
02 Statistics and Probability Refresher_ and Python Practise/015 [Activity] A Crash Course in matplotlib.mp4
51.7 MB
10 Deep Learning and Neural Networks/073 [Activity] Deep Learning in the Tensorflow Playground.mp4
51.4 MB
05 Recommender Systems/039 [Activity] Finding Movie Similarities.mp4
50.8 MB
04 Machine Learning with Python/024 Supervised vs_ Unsupervised Learning_ and Train_Test.mp4
50.1 MB
07 Dealing with Real-World Data/050 [Activity] K-Fold Cross-Validation to avoid overfitting.mp4
48.1 MB
05 Recommender Systems/042 [Exercise] Improve the recommender's results.mp4
48.1 MB
[磁力链接]
添加时间:
2022-02-27
大小:
3.3 GB
最近下载:
2025-06-29
热度:
340
[FreeCourseSite.com] Udemy - Machine Learning & Deep Learning in Python & R
27. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4
226.5 MB
37. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4
173.2 MB
18. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4
169.1 MB
26. ANN in Python/9. Building Neural Network for Regression Problem.mp4
163.5 MB
26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4
158.9 MB
23. Creating Support Vector Machine Model in R/3. Classification SVM model using Linear Kernel.mp4
145.9 MB
27. ANN in R/6. Building Regression Model with Functional API.mp4
137.5 MB
27. ANN in R/3. Building,Compiling and Training.mp4
137.1 MB
34. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4
135.4 MB
7. Linear Regression/20. Ridge regression and Lasso in Python.mp4
135.1 MB
25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4
128.1 MB
38. Time Series - Important Concepts/5. Differencing in Python.mp4
118.5 MB
37. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4
118.2 MB
27. ANN in R/2. Data Normalization and Test-Train Split.mp4
117.2 MB
5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4
114.5 MB
37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4
114.1 MB
23. Creating Support Vector Machine Model in R/7. SVM based Regression Model in R.mp4
111.3 MB
7. Linear Regression/21. Ridge regression and Lasso in R.mp4
108.5 MB
14. Simple Decision Trees/13. Building a Regression Tree in R.mp4
108.4 MB
35. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4
106.5 MB
[磁力链接]
添加时间:
2021-03-19
大小:
14.1 GB
最近下载:
2025-06-28
热度:
366
[Udemy][YouRa Allakhverdov] Data Science и Machine Learning на Python 3 с нуля (2022)
Раздел 13 Machine Learning. Линейная регрессия/[SW.BAND] 5 Задание по линейной регрессии. Решение.mp4
211.7 MB
Раздел 17 Decision Trees и Random Forests/[SW.BAND] 4 Решение задания.mp4
202.6 MB
Раздел 11 Data Science Final Project/[SW.BAND] 2 Задание US Shootings. Решение.mp4
195.6 MB
Раздел 3 Основы Python/[SW.BAND] 8 Форматирование строк в Python.mp4
184.7 MB
Раздел 4 Функции Python/[SW.BAND] 3 args _ kwargs.mp4
171.3 MB
Раздел 4 Функции Python/[SW.BAND] 2 Создание функций в Python.mp4
165.2 MB
Раздел 7 Анализ данных. Библиотека Pandas/[SW.BAND] 10 Input Output.mp4
159.4 MB
Раздел 15 Machine Learning. Логистическая регрессия/[SW.BAND] 6 Решение задания.mp4
158.2 MB
Раздел 15 Machine Learning. Логистическая регрессия/[SW.BAND] 2 Множество данных “Титаник”. Исследование данных.mp4
156.0 MB
Раздел 3 Основы Python/[SW.BAND] 4 Переменные в Python.mp4
154.8 MB
Раздел 16 Метод k-ближайших соседей/[SW.BAND] 4 Решение задания.mp4
152.6 MB
Раздел 4 Функции Python/[SW.BAND] 4 Лямбда выражения в функциях.mp4
152.4 MB
Раздел 9 Визуализация данных. Библиотека Seaborn/[SW.BAND] 2 Dataset Distribution.mp4
147.0 MB
Раздел 16 Метод k-ближайших соседей/[SW.BAND] 2 Метод k-ближайших соседей.mp4
146.6 MB
Раздел 3 Основы Python/[SW.BAND] 20 Dictionary Comprehension _ Set Comprehension и Nested loops.mp4
141.9 MB
Раздел 13 Machine Learning. Линейная регрессия/[SW.BAND] 3 Линейная регрессия. Создание модели.mp4
135.4 MB
Раздел 12 Знакомство с Machine Learning/[SW.BAND] 3 Оценка производительности модели. Классификация.mp4
135.1 MB
Раздел 6 Анализ данных. Библиотека NumPy/[SW.BAND] 1 NumPy массивы.mp4
134.8 MB
Раздел 8 Визуализация данных. Библиотека Matplotlib/[SW.BAND] 6 Задание по разделу Matplotlib. Решение.mp4
134.1 MB
Раздел 10 Визуализация данных. Встроенная визуализация библиотеки Pandas/[SW.BAND] 1 Встроенная визуализация библиотеки Pandas.mp4
133.9 MB
[磁力链接]
添加时间:
2024-06-27
大小:
8.0 GB
最近下载:
2025-06-27
热度:
311
[FreeAllCourse.Com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)
6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4
195.3 MB
6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.mp4
82.1 MB
2. Numpy (New)/7. Generating Data.mp4
66.2 MB
1. Welcome and Logistics/1. Introduction and Outline.mp4
63.4 MB
2. Numpy (New)/5. Matrices.mp4
60.0 MB
2. Numpy (New)/2. Arrays vs Lists.mp4
53.2 MB
4. Pandas (New)/3. Selecting Rows and Columns.mp4
51.5 MB
6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
46.1 MB
3. Matplotlib (New)/5. Plotting Images.mp4
40.5 MB
6. Appendix FAQ/9. BONUS Where to get Udemy coupons and FREE deep learning material.mp4
39.7 MB
6. Appendix FAQ/8. What order should I take your courses in (part 2).mp4
39.4 MB
6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.mp4
36.7 MB
6. Appendix FAQ/7. What order should I take your courses in (part 1).mp4
30.8 MB
2. Numpy (New)/3. Dot Product.mp4
27.6 MB
1. Welcome and Logistics/5. Extra Resources.mp4
26.5 MB
2. Numpy (New)/1. Numpy Section Introduction.mp4
25.2 MB
4. Pandas (New)/2. Loading in Data.mp4
24.8 MB
5. Scipy (New)/3. Convolution.mp4
22.5 MB
6. Appendix FAQ/5. Python 2 vs Python 3.mp4
20.0 MB
3. Matplotlib (New)/3. Scatterplot.mp4
18.8 MB
[磁力链接]
添加时间:
2021-03-22
大小:
1.2 GB
最近下载:
2025-06-26
热度:
75
Python for Data Science and Machine Learning Bootcamp [UDEMY]
26 Neural Nets and Deep Learning/135 TensorFlow Installation.mp4
96.4 MB
25 Big Data and Spark with Python/125 EC2 Instance Set-Up.mp4
90.7 MB
18 K Nearest Neighbors/094 KNN Project Solutions.mp4
74.3 MB
25 Big Data and Spark with Python/130 RDD Transformations and Actions.mp4
74.2 MB
25 Big Data and Spark with Python/127 PySpark Setup.mp4
74.0 MB
11 Python for Data Visualization - Plotly and Cufflinks/059 Plotly and Cufflinks.mp4
65.6 MB
09 Python for Data Visualization - Seaborn/047 Distribution Plots.mp4
64.7 MB
13 Data Capstone Project/071 Finance Project - Solutions Part 1.mp4
63.4 MB
13 Data Capstone Project/068 911 Calls Solutions - Part 2.mp4
61.7 MB
24 Natural Language Processing/118 NLP Project Solutions.mp4
60.5 MB
21 K Means Clustering/107 K Means Project Solutions.mp4
59.5 MB
26 Neural Nets and Deep Learning/139 MNIST with Multi-Layer Perceptron - Part 3.mp4
59.5 MB
15 Linear Regression/083 Linear Regression Project Solution.mp4
59.2 MB
20 Support Vector Machines/101 Support Vector Machines with Python.mp4
58.9 MB
13 Data Capstone Project/072 Finance Project - Solutions Part 2.mp4
58.6 MB
12 Python for Data Visualization - Geographical Plotting/061 Choropleth Maps - Part 1 - USA.mp4
57.6 MB
18 K Nearest Neighbors/092 KNN with Python.mp4
57.3 MB
26 Neural Nets and Deep Learning/142 Tensorflow Project Exercise - Solutions.mp4
55.3 MB
15 Linear Regression/080 Linear Regression with Python - Part 1.mp4
54.8 MB
07 Python for Data Analysis - Pandas Exercises/038 Ecommerce Purchases Exercise Solutions.mp4
54.5 MB
[磁力链接]
添加时间:
2021-04-01
大小:
4.2 GB
最近下载:
2025-06-25
热度:
136
[FreeCourseSite.com] Udemy - A deep understanding of deep learning (with Python intro)
19 - Understand and design CNNs/005 Examine feature map activations.mp4
273.2 MB
22 - Style transfer/004 Transferring the screaming bathtub.mp4
227.4 MB
19 - Understand and design CNNs/012 The EMNIST dataset (letter recognition).mp4
211.1 MB
19 - Understand and design CNNs/002 CNN to classify MNIST digits.mp4
210.1 MB
24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/005 CodeChallenge sine wave extrapolation.mp4
205.2 MB
24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/009 Lorem ipsum.mp4
201.9 MB
07 - ANNs (Artificial Neural Networks)/013 Multi-output ANN (iris dataset).mp4
195.8 MB
19 - Understand and design CNNs/004 Classify Gaussian blurs.mp4
194.1 MB
09 - Regularization/004 Dropout regularization in practice.mp4
192.1 MB
16 - Autoencoders/006 Autoencoder with tied weights.mp4
186.4 MB
18 - Convolution and transformations/003 Convolution in code.mp4
181.5 MB
08 - Overfitting and cross-validation/006 Cross-validation -- DataLoader.mp4
180.7 MB
23 - Generative adversarial networks/002 Linear GAN with MNIST.mp4
178.2 MB
07 - ANNs (Artificial Neural Networks)/009 Learning rates comparison.mp4
176.8 MB
12 - More on data/003 CodeChallenge unbalanced data.mp4
174.3 MB
11 - FFNs (Feed-Forward Networks)/003 FFN to classify digits.mp4
169.7 MB
16 - Autoencoders/005 The latent code of MNIST.mp4
169.7 MB
24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/004 Predicting alternating sequences.mp4
167.9 MB
07 - ANNs (Artificial Neural Networks)/018 Model depth vs. breadth.mp4
166.6 MB
12 - More on data/007 Data feature augmentation.mp4
166.0 MB
[磁力链接]
添加时间:
2022-02-01
大小:
23.6 GB
最近下载:
2025-06-24
热度:
480
[FreeCourseSite.com] Udemy - Machine Learning A-Z™ - AI, Python & R + ChatGPT Bonus [2023]
41 - Kernel PCA/372 - Kernel PCA in R.mp4
418.7 MB
29 - Apriori/271 - Apriori in R Step 3.mp4
282.1 MB
36 - Artificial Neural Networks/339 - ANN in R Step 1.mp4
238.7 MB
37 - Convolutional Neural Networks/345 - dataset.zip
232.0 MB
36 - Artificial Neural Networks/341 - ANN in R Step 3.mp4
212.6 MB
20 - Naive Bayes/197 - Bayes Theorem.mp4
204.7 MB
29 - Apriori/268 - Apriori in Python Step 4.mp4
201.8 MB
43 - Model Selection/375 - Grid Search in Python.mp4
196.8 MB
37 - Convolutional Neural Networks/359 - CNN in Python FINAL DEMO.mp4
195.1 MB
35 - Part 8 Deep Learning/324 - What is Deep Learning.mp4
186.8 MB
39 - Principal Component Analysis PCA/365 - PCA in R Step 1.mp4
184.3 MB
37 - Convolutional Neural Networks/355 - CNN in Python Step 2.mp4
182.9 MB
40 - Linear Discriminant Analysis LDA/370 - LDA in R.mp4
173.3 MB
32 - Upper Confidence Bound UCB/287 - Upper Confidence Bound in R Step 3.mp4
172.7 MB
29 - Apriori/270 - Apriori in R Step 2.mp4
169.8 MB
44 - XGBoost/378 - XGBoost in Python.mp4
149.5 MB
37 - Convolutional Neural Networks/358 - CNN in Python Step 5.mp4
147.0 MB
37 - Convolutional Neural Networks/349 - Step 2 Pooling.mp4
146.2 MB
34 - Part 7 Natural Language Processing/307 - Natural Language Processing in Python Step 5.mp4
143.5 MB
39 - Principal Component Analysis PCA/363 - PCA in Python Step 1.mp4
143.0 MB
[磁力链接]
添加时间:
2024-08-04
大小:
17.4 GB
最近下载:
2025-06-23
热度:
262
[FreeCourseSite.com] Udemy - Machine Learning with SciKit-Learn with Python
9. Cross Validation/13. Performance Analysis on the Test Set.mp4
125.2 MB
6. Pandas/6. Remove Operations.mp4
123.1 MB
9. Cross Validation/5. PCA Pipeline.mp4
122.9 MB
9. Cross Validation/1. Cross Validation.mp4
117.4 MB
5. Matlplotlib/3. Multiple Figures and Subplots.mp4
115.7 MB
8. Learning and Predicting/4. Persisting Models.mp4
110.3 MB
9. Cross Validation/3. K-Means Clustering Example.mp4
109.0 MB
6. Pandas/7. Pandas Arithmetic Operations.mp4
108.2 MB
6. Pandas/4. Data Structure in Pandas Continue.mp4
107.1 MB
8. Learning and Predicting/5. K-NN Algorithm with Example.mp4
106.3 MB
3. NumPy Array/6. Numpy Array Splicing.mp4
103.6 MB
3. NumPy Array/4. NumPy Array Operations Continue.mp4
97.5 MB
9. Cross Validation/15. Language Identifcation.mp4
97.4 MB
9. Cross Validation/9. Text Data Example.mp4
94.2 MB
3. NumPy Array/8. Stacking Together Different Arrays.mp4
89.7 MB
5. Matlplotlib/2. Understanding Various Functions of Pyplot.mp4
89.6 MB
9. Cross Validation/14. Parameter Tuning.mp4
89.3 MB
6. Pandas/3. Data Structure in Pandas.mp4
88.0 MB
6. Pandas/5. Pandas Column Select.mp4
83.4 MB
3. NumPy Array/3. NumPy Array Operations.mp4
82.3 MB
[磁力链接]
添加时间:
2024-07-29
大小:
3.9 GB
最近下载:
2025-06-21
热度:
180
[ FreeCourseWeb.com ] Machine learning with python [Data Science] - Udemy
~Get Your Files Here !/8. List/1. List.mp4
81.6 MB
~Get Your Files Here !/11. Understanding of Functions/1. Function intro.mp4
80.1 MB
~Get Your Files Here !/17. HOW MACHINE LEARNS/1. How Machine learns.mp4
77.6 MB
~Get Your Files Here !/16. Project 1/1. Project.mp4
74.7 MB
~Get Your Files Here !/19. Data visualization/1. Data visualization.mp4
70.3 MB
~Get Your Files Here !/14. File handling/1. File handling intro.mp4
69.4 MB
~Get Your Files Here !/15. oop concept/1. oop concept intro.mp4
66.0 MB
~Get Your Files Here !/13. Exceptional Handling/1. Exceptional Handling Intro.mp4
63.8 MB
~Get Your Files Here !/14. File handling/2. File handling code.mp4
62.6 MB
~Get Your Files Here !/15. oop concept/4. Inheritance.mp4
57.8 MB
~Get Your Files Here !/11. Understanding of Functions/2. Function code.mp4
57.4 MB
~Get Your Files Here !/18. Introduction to pandas/1. pandas.mp4
56.2 MB
~Get Your Files Here !/7. String/1. String.mp4
56.1 MB
~Get Your Files Here !/9. Tuple/1. Tuple.mp4
55.1 MB
~Get Your Files Here !/25. Naive Bayes/1. Naive Bayes theory.mp4
53.6 MB
~Get Your Files Here !/10. Dictonary/1. Dictonary.mp4
50.9 MB
~Get Your Files Here !/1. Python for Data science and ML/1. Introduction.mp4
49.8 MB
~Get Your Files Here !/23. KNN/2. Knn Code.mp4
48.0 MB
~Get Your Files Here !/5. Understanding the concepts of Loops/1. Loops.mp4
46.7 MB
~Get Your Files Here !/22. LOGISTIC REGRESSION/2. Logistic Regression Code.mp4
46.7 MB
[磁力链接]
添加时间:
2022-03-20
大小:
1.9 GB
最近下载:
2025-06-21
热度:
593
[FreeCourseSite.com] Udemy - Python for Machine Learning The Complete Beginner's Course
3. Multiple Linear Regression/3. Implementation in python Encoding Categorical Data.mp4
30.3 MB
4. Classification Algorithms K-Nearest Neighbors/7. Implementation in python Splitting data into Train and Test Sets.mp4
20.6 MB
8. Recommender System/6. Sorting by title and rating.mp4
20.3 MB
7. Clustering/6. Implementation in python.mp4
19.9 MB
3. Multiple Linear Regression/6. Implementation in python Predicting the Test Set results.mp4
18.7 MB
5. Classification Algorithms Decision Tree/6. Implementation in python Encoding Categorical Data.mp4
17.8 MB
1. Introduction to Machine Learning/6. Supervised learning vs Unsupervised learning.mp4
15.0 MB
6. Classification Algorithms Logistic regression/7. Implementation in python Results prediction & Confusion matrix.mp4
14.1 MB
3. Multiple Linear Regression/2. Implementation in python Exploring the dataset.mp4
14.0 MB
8. Recommender System/13. Correlation between the most-rated movies.mp4
13.9 MB
2. Simple Linear Regression/6. Implementation in python Creating a linear regression object.mp4
13.9 MB
6. Classification Algorithms Logistic regression/5. Implementation in python Pre-processing.mp4
13.8 MB
7. Clustering/14. 3D Visualization of the predicted values.mp4
13.5 MB
7. Clustering/10. Importing the dataset.mp4
13.4 MB
8. Recommender System/17. Repeating the process for another movie.mp4
13.3 MB
4. Classification Algorithms K-Nearest Neighbors/9. Implementation in python Importing the KNN classifier.mp4
13.1 MB
7. Clustering/11. Visualizing the dataset.mp4
13.0 MB
3. Multiple Linear Regression/8. Root Mean Squared Error in Python.mp4
12.4 MB
8. Recommender System/10. Data pre-processing.mp4
11.3 MB
6. Classification Algorithms Logistic regression/8. Logistic Regression vs Linear Regression.mp4
11.3 MB
[磁力链接]
添加时间:
2022-03-24
大小:
718.6 MB
最近下载:
2025-06-20
热度:
1234
Complete Data Science & Machine Learning Bootcamp - Python 3.rar
Complete Data Science & Machine Learning Bootcamp - Python 3.rar
15.9 GB
[磁力链接]
添加时间:
2021-03-14
大小:
15.9 GB
最近下载:
2025-06-18
热度:
270
[ FreeCourseWeb.com ] The Hello World of Machine Learning in Python.zip
[ FreeCourseWeb.com ] The Hello World of Machine Learning in Python.zip
1.4 GB
[磁力链接]
添加时间:
2021-03-18
大小:
1.4 GB
最近下载:
2025-06-17
热度:
377
Udemy.Estadística.inferencial.Machine Learning.con.R.Python
Udemy.Estadística.inferencial.Machine Learning.con.R.Python.part04.rar
2.1 GB
Udemy.Estadística.inferencial.Machine Learning.con.R.Python.part03.rar
2.1 GB
Udemy.Estadística.inferencial.Machine Learning.con.R.Python.part02.rar
2.1 GB
Udemy.Estadística.inferencial.Machine Learning.con.R.Python.part05.rar
2.1 GB
Udemy.Estadística.inferencial.Machine Learning.con.R.Python.part06.rar
2.1 GB
Udemy.Estadística.inferencial.Machine Learning.con.R.Python.part01.rar
2.1 GB
Udemy.Estadística.inferencial.Machine Learning.con.R.Python.part07.rar
2.1 GB
Udemy.Estadística.inferencial.Machine Learning.con.R.Python.part08.rar
652.1 MB
[磁力链接]
添加时间:
2021-04-06
大小:
15.7 GB
最近下载:
2025-06-17
热度:
350
[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.srt
4.6 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.srt
17.6 kB
01 Introduction/002 FULL-TENSORFLOW-NOTES-AND-DATA.zip
314.2 MB
01 Introduction/003 FAQ - Frequently Asked Questions.html
1.6 kB
01 Introduction/003 FULL-TENSORFLOW-NOTES-AND-DATA.zip
314.2 MB
02 Installation and Setup/004 Quick Note for MacOS and Linux Users.html
3.1 kB
02 Installation and Setup/005 Installing TensorFlow Environment.mp4
29.2 MB
02 Installation and Setup/005 Installing TensorFlow Environment-subtitle-en.srt
20.9 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.srt
28.2 kB
03 What is Machine Learning_/external_links.txt
132 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.srt
2.1 kB
04 Crash Course Overview/008 NumPy Crash Course.mp4
34.1 MB
04 Crash Course Overview/008 NumPy Crash Course-subtitle-en.srt
24.8 kB
04 Crash Course Overview/009 Pandas Crash Course.mp4
9.5 MB
04 Crash Course Overview/009 Pandas Crash Course-subtitle-en.srt
7.1 kB
04 Crash Course Overview/010 Data Visualization Crash Course.mp4
20.5 MB
[磁力链接]
添加时间:
2018-02-01
大小:
2.4 GB
最近下载:
2025-06-17
热度:
1357
[FreeCourseSite.com] Udemy - Machine Learning & Deep Learning in Python & R
27. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4
226.5 MB
37. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4
173.2 MB
18. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4
169.1 MB
26. ANN in Python/9. Building Neural Network for Regression Problem.mp4
163.5 MB
26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4
158.9 MB
23. Creating Support Vector Machine Model in R/3. Classification SVM model using Linear Kernel.mp4
145.9 MB
27. ANN in R/6. Building Regression Model with Functional API.mp4
137.5 MB
27. ANN in R/3. Building,Compiling and Training.mp4
137.1 MB
34. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4
135.4 MB
7. Linear Regression/20. Ridge regression and Lasso in Python.mp4
135.1 MB
25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4
128.1 MB
38. Time Series - Important Concepts/5. Differencing in Python.mp4
118.5 MB
37. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4
118.2 MB
27. ANN in R/2. Data Normalization and Test-Train Split.mp4
117.2 MB
5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4
114.5 MB
37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4
114.1 MB
23. Creating Support Vector Machine Model in R/7. SVM based Regression Model in R.mp4
111.3 MB
7. Linear Regression/21. Ridge regression and Lasso in R.mp4
108.5 MB
14. Simple Decision Trees/13. Building a Regression Tree in R.mp4
108.4 MB
35. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4
106.5 MB
[磁力链接]
添加时间:
2021-03-23
大小:
14.1 GB
最近下载:
2025-06-16
热度:
505
[FreeCourseSite.com] Udemy - Bayesian Machine Learning in Python AB Testing
8 - Setting Up Your Environment FAQ by Student Request/68 - Anaconda Environment Setup.mp4
323.2 MB
8 - Setting Up Your Environment FAQ by Student Request/69 - How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4
200.8 MB
10 - Effective Learning Strategies for Machine Learning FAQ by Student Request/77 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4
142.4 MB
10 - Effective Learning Strategies for Machine Learning FAQ by Student Request/76 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4
124.1 MB
9 - Extra Help With Python Coding for Beginners FAQ by Student Request/72 - Proof that using Jupyter Notebook is the same as not using it.mp4
113.3 MB
9 - Extra Help With Python Coding for Beginners FAQ by Student Request/70 - How to Code by Yourself part 1.mp4
97.5 MB
4 - Traditional AB Testing/33 - ZTest Code pt 1.mp4
87.4 MB
11 - Appendix FAQ Finale/79 - BONUS.mp4
63.8 MB
10 - Effective Learning Strategies for Machine Learning FAQ by Student Request/75 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced.mp4
62.4 MB
5 - Bayesian AB Testing/55 - Thompson Sampling With Gaussian Reward Theory.mp4
56.1 MB
7 - Practice Makes Perfect/67 - The most important quiz of all Obtaining an infinite amount of practice.mp4
54.6 MB
5 - Bayesian AB Testing/38 - Applications of the ExploreExploit Dilemma.mp4
49.3 MB
5 - Bayesian AB Testing/52 - Bayesian Bandits Thompson Sampling Theory pt 2.mp4
44.0 MB
3 - Bayes Rule and Probability Review/19 - Suggestion Box.mp4
41.7 MB
5 - Bayesian AB Testing/56 - Thompson Sampling With Gaussian Reward Code.mp4
36.6 MB
1 - Introduction and Outline/2 - Where to get the code for this course.mp4
36.4 MB
4 - Traditional AB Testing/34 - ZTest Code pt 2.mp4
35.5 MB
5 - Bayesian AB Testing/61 - Optional Alternative Bandit Designs.mp4
35.3 MB
3 - Bayes Rule and Probability Review/16 - Probability Review in Code.mp4
34.1 MB
5 - Bayesian AB Testing/48 - UCB1 Theory.mp4
33.6 MB
[磁力链接]
添加时间:
2024-01-16
大小:
2.8 GB
最近下载:
2025-06-15
热度:
58
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