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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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