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[Udemy] Machine Learning in Python with 5 Machine Learning Projects (04.2021)

  • 12. Tree Based Models/2. Attribute selection method- Gini Index and Entropy.mp4 229.3 MB
  • 11. Introduction to KNN, SVM, Naive Bayes/6. Introduction to Naive Bayes.mp4 183.2 MB
  • 13. Boosting Models/2. Intuition for Adaboost and Gradient Boosting.mp4 160.7 MB
  • 10. Logistic Regression/8. Using ROC-AUC score to analyze the performance of model.mp4 154.8 MB
  • 10. Logistic Regression/6. How to analyze performance of a classification model.mp4 153.3 MB
  • 13. Boosting Models/7. Introudction to Ensembling techniques.mp4 140.5 MB
  • 20. Predicting Health Expense of Customers/8. Applying Linear Regression Model.mp4 134.3 MB
  • 2. Python for Data Analysis/17. Time Complexity.mp4 126.0 MB
  • 2. Python for Data Analysis/21. Insertion and Selection Sort.mp4 125.8 MB
  • 1. Python Fundamentals/4. Built in Data Types and Type Casting.mp4 125.7 MB
  • 18. Time Series Forecasting/8. Handling Missing Values.mp4 122.1 MB
  • 2. Python for Data Analysis/22. Merge Sort.mp4 121.0 MB
  • 17. Recommendation Engines/19. Introduction to SVD.mp4 117.5 MB
  • 2. Python for Data Analysis/19. Binary Search.mp4 114.9 MB
  • 9. Linear Regression/6. Analyzing the performance of Regression models.mp4 114.3 MB
  • 11. Introduction to KNN, SVM, Naive Bayes/1. Introduction to Support Vector machines.mp4 113.4 MB
  • 9. Linear Regression/9. Applying real time prediction on our model.mp4 112.8 MB
  • 9. Linear Regression/7. R2 score and adjuted R2 score intuition.mp4 112.2 MB
  • 10. Logistic Regression/1. Introduction to Logistic Regression.mp4 111.6 MB
  • 5. Data Cleaning/24. Data Cleaning on Naukri Dataset.mp4 111.4 MB
[磁力链接] 添加时间:2022-01-12 大小:22.4 GB 最近下载:2025-10-24 热度:2986

[GigaCourse.Com] Udemy - 2022 Python for Machine Learning & Data Science Masterclass

  • 23 - Hierarchical Clustering/210 - Hierarchical Clustering Coding Part Two ScikitLearn.mp4 331.0 MB
  • 5 - Pandas/46 - Pandas Project Exercise Solutions.mp4 300.7 MB
  • 13 - Logistic Regression/137 - Logistic Regression Project Exercise Solutions.mp4 276.4 MB
  • 8 - Data Analysis and Visualization Capstone Project Exercise/75 - Capstone Project Solutions Part Three.mp4 229.4 MB
  • 17 - Random Forests/168 - Coding Classification with Random Forest Classifier Part Two.mp4 216.2 MB
  • 24 - DBSCAN Densitybased spatial clustering of applications with noise/217 - DBSCAN Outlier Project Exercise Solutions.mp4 206.8 MB
  • 25 - PCA Principal Component Analysis and Manifold Learning/224 - PCA Project Exercise Solution.mp4 202.1 MB
  • 11 - Feature Engineering and Data Preparation/111 - Dealing with Missing Data Part Two Filling or Dropping data based on Rows.mp4 195.0 MB
  • 16 - Tree Based Methods Decision Tree Learning/161 - Coding Decision Trees Part Two Creating the Model.mp4 191.2 MB
  • 8 - Data Analysis and Visualization Capstone Project Exercise/73 - Capstone Project Solutions Part One.mp4 187.8 MB
  • 19 - Supervised Learning Capstone Project Cohort Analysis and Tree Based Methods/183 - Solution Walkthrough Supervised Learning Project Tree Models.mp4 183.2 MB
  • 7 - Seaborn Data Visualizations/59 - Scatterplots with Seaborn.mp4 182.8 MB
  • 7 - Seaborn Data Visualizations/71 - Seaborn Plot Exercises Solutions.mp4 180.3 MB
  • 14 - KNN K Nearest Neighbors/143 - KNN Classification Project Exercise Solutions.mp4 178.6 MB
  • 19 - Supervised Learning Capstone Project Cohort Analysis and Tree Based Methods/181 - Solution Walkthrough Supervised Learning Project Data and EDA.mp4 177.2 MB
  • 26 - Model Deployment/227 - Model Persistence.mp4 175.7 MB
  • 5 - Pandas/41 - Pandas Input and Output HTML Tables.mp4 175.6 MB
  • 13 - Logistic Regression/135 - MultiClass Classification with Logistic Regression Part Two Model.mp4 175.4 MB
  • 11 - Feature Engineering and Data Preparation/112 - Dealing with Missing Data Part 3 Fixing data based on Columns.mp4 163.1 MB
  • 8 - Data Analysis and Visualization Capstone Project Exercise/74 - Capstone Project Solutions Part Two.mp4 161.9 MB
[磁力链接] 添加时间:2023-12-18 大小:17.5 GB 最近下载:2025-10-27 热度:4312

2022 Python for Machine Learning & Data Science Masterclass

  • 23 - Hierarchical Clustering/210 - Hierarchical Clustering Coding Part Two ScikitLearn.mp4 331.0 MB
  • 5 - Pandas/46 - Pandas Project Exercise Solutions.mp4 300.7 MB
  • 13 - Logistic Regression/137 - Logistic Regression Project Exercise Solutions.mp4 276.4 MB
  • 8 - Data Analysis and Visualization Capstone Project Exercise/75 - Capstone Project Solutions Part Three.mp4 229.4 MB
  • 17 - Random Forests/168 - Coding Classification with Random Forest Classifier Part Two.mp4 216.2 MB
  • 24 - DBSCAN Densitybased spatial clustering of applications with noise/217 - DBSCAN Outlier Project Exercise Solutions.mp4 206.8 MB
  • 25 - PCA Principal Component Analysis and Manifold Learning/224 - PCA Project Exercise Solution.mp4 202.1 MB
  • 11 - Feature Engineering and Data Preparation/111 - Dealing with Missing Data Part Two Filling or Dropping data based on Rows.mp4 195.0 MB
  • 16 - Tree Based Methods Decision Tree Learning/161 - Coding Decision Trees Part Two Creating the Model.mp4 191.2 MB
  • 8 - Data Analysis and Visualization Capstone Project Exercise/73 - Capstone Project Solutions Part One.mp4 187.8 MB
  • 19 - Supervised Learning Capstone Project Cohort Analysis and Tree Based Methods/183 - Solution Walkthrough Supervised Learning Project Tree Models.mp4 183.2 MB
  • 7 - Seaborn Data Visualizations/59 - Scatterplots with Seaborn.mp4 182.8 MB
  • 7 - Seaborn Data Visualizations/71 - Seaborn Plot Exercises Solutions.mp4 180.3 MB
  • 14 - KNN K Nearest Neighbors/143 - KNN Classification Project Exercise Solutions.mp4 178.6 MB
  • 19 - Supervised Learning Capstone Project Cohort Analysis and Tree Based Methods/181 - Solution Walkthrough Supervised Learning Project Data and EDA.mp4 177.2 MB
  • 26 - Model Deployment/227 - Model Persistence.mp4 175.7 MB
  • 5 - Pandas/41 - Pandas Input and Output HTML Tables.mp4 175.6 MB
  • 13 - Logistic Regression/135 - MultiClass Classification with Logistic Regression Part Two Model.mp4 175.4 MB
  • 11 - Feature Engineering and Data Preparation/112 - Dealing with Missing Data Part 3 Fixing data based on Columns.mp4 163.1 MB
  • 8 - Data Analysis and Visualization Capstone Project Exercise/74 - Capstone Project Solutions Part Two.mp4 161.9 MB
[磁力链接] 添加时间:2024-01-12 大小:17.5 GB 最近下载:2025-10-07 热度:2811

Udemy.Probabilidad.Machine.Learning.Big.Data.con.R y.Python

  • Udemy.Probabilidad.Machine.Learning.Big.Data.con.R y.Python.part01.rar 2.1 GB
  • Udemy.Probabilidad.Machine.Learning.Big.Data.con.R y.Python.part06.rar 2.1 GB
  • Udemy.Probabilidad.Machine.Learning.Big.Data.con.R y.Python.part08.rar 2.1 GB
  • Udemy.Probabilidad.Machine.Learning.Big.Data.con.R y.Python.part07.rar 2.1 GB
  • Udemy.Probabilidad.Machine.Learning.Big.Data.con.R y.Python.part03.rar 2.1 GB
  • Udemy.Probabilidad.Machine.Learning.Big.Data.con.R y.Python.part04.rar 2.1 GB
  • Udemy.Probabilidad.Machine.Learning.Big.Data.con.R y.Python.part05.rar 2.1 GB
  • Udemy.Probabilidad.Machine.Learning.Big.Data.con.R y.Python.part02.rar 2.1 GB
  • Udemy.Probabilidad.Machine.Learning.Big.Data.con.R y.Python.part09.rar 214.6 MB
[磁力链接] 添加时间:2021-03-07 大小:17.4 GB 最近下载:2025-10-26 热度:891

[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

[GigaCourse.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:2023-12-22 大小:17.4 GB 最近下载:2025-10-24 热度:5978

GetFreeCourses.Co-Udemy-Machine Learning A-Z™ Python & R in Data Science [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:2024-02-25 大小:17.4 GB 最近下载:2025-10-16 热度:5355

[GigaCourse.Com] Udemy - A deep understanding of deep learning (with Python intro)

  • 19 - Understand and design CNNs/005 Examine feature map activations.mp4 263.6 MB
  • 22 - Style transfer/004 Transferring the screaming bathtub.mp4 220.6 MB
  • 19 - Understand and design CNNs/004 Classify Gaussian blurs.mp4 184.6 MB
  • 07 - ANNs (Artificial Neural Networks)/009 Learning rates comparison.mp4 176.8 MB
  • 24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/005 CodeChallenge sine wave extrapolation.mp4 174.7 MB
  • 18 - Convolution and transformations/003 Convolution in code.mp4 173.8 MB
  • 14 - FFN milestone projects/004 Project 2 My solution.mp4 163.3 MB
  • 24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/004 Predicting alternating sequences.mp4 161.2 MB
  • 19 - Understand and design CNNs/002 CNN to classify MNIST digits.mp4 151.9 MB
  • 19 - Understand and design CNNs/012 The EMNIST dataset (letter recognition).mp4 150.9 MB
  • 07 - ANNs (Artificial Neural Networks)/013 Multi-output ANN (iris dataset).mp4 148.9 MB
  • 24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/009 Lorem ipsum.mp4 148.5 MB
  • 16 - Autoencoders/004 AEs for occlusion.mp4 144.9 MB
  • 26 - Where to go from here/002 How to read academic DL papers.mp4 144.0 MB
  • 19 - Understand and design CNNs/011 Discover the Gaussian parameters.mp4 143.3 MB
  • 21 - Transfer learning/007 Pretraining with autoencoders.mp4 142.6 MB
  • 16 - Autoencoders/006 Autoencoder with tied weights.mp4 137.9 MB
  • 23 - Generative adversarial networks/004 CNN GAN with Gaussians.mp4 137.8 MB
  • 09 - Regularization/004 Dropout regularization in practice.mp4 137.1 MB
  • 07 - ANNs (Artificial Neural Networks)/008 ANN for classifying qwerties.mp4 136.7 MB
[磁力链接] 添加时间:2023-12-17 大小:17.2 GB 最近下载:2025-07-29 热度:3563

[FreeCourseSite.com] Udemy - A deep understanding of deep learning (with Python intro)

  • 19 - Understand and design CNNs/005 Examine feature map activations.mp4 263.6 MB
  • 22 - Style transfer/004 Transferring the screaming bathtub.mp4 220.6 MB
  • 19 - Understand and design CNNs/004 Classify Gaussian blurs.mp4 184.6 MB
  • 07 - ANNs (Artificial Neural Networks)/009 Learning rates comparison.mp4 176.8 MB
  • 24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/005 CodeChallenge sine wave extrapolation.mp4 174.7 MB
  • 18 - Convolution and transformations/003 Convolution in code.mp4 173.8 MB
  • 14 - FFN milestone projects/004 Project 2 My solution.mp4 163.3 MB
  • 24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/004 Predicting alternating sequences.mp4 161.2 MB
  • 19 - Understand and design CNNs/002 CNN to classify MNIST digits.mp4 151.9 MB
  • 19 - Understand and design CNNs/012 The EMNIST dataset (letter recognition).mp4 150.9 MB
  • 07 - ANNs (Artificial Neural Networks)/013 Multi-output ANN (iris dataset).mp4 148.9 MB
  • 24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/009 Lorem ipsum.mp4 148.5 MB
  • 16 - Autoencoders/004 AEs for occlusion.mp4 144.9 MB
  • 26 - Where to go from here/002 How to read academic DL papers.mp4 144.0 MB
  • 19 - Understand and design CNNs/011 Discover the Gaussian parameters.mp4 143.3 MB
  • 21 - Transfer learning/007 Pretraining with autoencoders.mp4 142.6 MB
  • 16 - Autoencoders/006 Autoencoder with tied weights.mp4 137.9 MB
  • 23 - Generative adversarial networks/004 CNN GAN with Gaussians.mp4 137.8 MB
  • 09 - Regularization/004 Dropout regularization in practice.mp4 137.1 MB
  • 07 - ANNs (Artificial Neural Networks)/008 ANN for classifying qwerties.mp4 136.7 MB
[磁力链接] 添加时间:2023-12-20 大小:17.2 GB 最近下载:2025-10-24 热度:3746

Udemy - A deep understanding of deep learning (with Python intro) 7-2023

  • 19 - Understand and design CNNs/005 Examine feature map activations.mp4 263.6 MB
  • 22 - Style transfer/004 Transferring the screaming bathtub.mp4 220.6 MB
  • 19 - Understand and design CNNs/004 Classify Gaussian blurs.mp4 184.6 MB
  • 07 - ANNs (Artificial Neural Networks)/009 Learning rates comparison.mp4 176.8 MB
  • 24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/005 CodeChallenge sine wave extrapolation.mp4 174.7 MB
  • 18 - Convolution and transformations/003 Convolution in code.mp4 173.8 MB
  • 14 - FFN milestone projects/004 Project 2 My solution.mp4 163.3 MB
  • 24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/004 Predicting alternating sequences.mp4 161.2 MB
  • 19 - Understand and design CNNs/002 CNN to classify MNIST digits.mp4 151.9 MB
  • 19 - Understand and design CNNs/012 The EMNIST dataset (letter recognition).mp4 150.9 MB
  • 07 - ANNs (Artificial Neural Networks)/013 Multi-output ANN (iris dataset).mp4 148.9 MB
  • 24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/009 Lorem ipsum.mp4 148.5 MB
  • 16 - Autoencoders/004 AEs for occlusion.mp4 144.9 MB
  • 26 - Where to go from here/002 How to read academic DL papers.mp4 144.0 MB
  • 19 - Understand and design CNNs/011 Discover the Gaussian parameters.mp4 143.3 MB
  • 21 - Transfer learning/007 Pretraining with autoencoders.mp4 142.6 MB
  • 16 - Autoencoders/006 Autoencoder with tied weights.mp4 137.9 MB
  • 23 - Generative adversarial networks/004 CNN GAN with Gaussians.mp4 137.8 MB
  • 09 - Regularization/004 Dropout regularization in practice.mp4 137.1 MB
  • 07 - ANNs (Artificial Neural Networks)/008 ANN for classifying qwerties.mp4 136.7 MB
[磁力链接] 添加时间:2024-02-15 大小:17.2 GB 最近下载:2025-09-29 热度:1175

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

Deep Learning de la A a la Z - Redes neuronales con Python.rar

  • Deep Learning de la A a la Z - Redes neuronales con Python.rar 15.8 GB
[磁力链接] 添加时间:2024-11-16 大小:15.8 GB 最近下载:2025-10-19 热度:531

Complete Data Science & Machine Learning Bootcamp - Python 3

  • Complete Data Science & Machine Learning Bootcamp - Python 3.zip 15.8 GB
  • Download more courses.url 123 Bytes
  • Downloaded from TutsGalaxy.com.txt 73 Bytes
  • TutsGalaxy.com.txt 52 Bytes
[磁力链接] 添加时间:2021-03-16 大小:15.8 GB 最近下载:2025-10-22 热度:5856

Udemy - 50 Days of Learning Advanced Programming in Python (8.2025)

  • 49 - Day#48 == Python Crash Course Part - 1/1 -Crash Course Part - 1.mp4 1.5 GB
  • 50 - Day#49 == Python Crash Course Part - 2/1 -Crash Course Part - 2.mp4 886.0 MB
  • 37 - Day#36 ==Screen Recorder Application in Python/1 -Understanding Open Computer Vision.mp4 571.9 MB
  • 9 - Day#8 ==Advanced GUI Programming with Tkinter/1 -Basic Widgets.mp4 419.8 MB
  • 18 - Day#17 ==Data Visualization with Matplotlib/2 -Styling Properties for Graph.mp4 348.3 MB
  • 9 - Day#8 ==Advanced GUI Programming with Tkinter/4 -Advanced Widgets.mp4 225.4 MB
  • 4 - Day#3 == Game Development in Python Part - 1/3 -Object Movement.mp4 204.0 MB
  • 42 - Day#41 ==Brick Breaker Game in Python PyGame/6 -Detecting Ball Collision with Bat and Bricks.mp4 189.9 MB
  • 42 - Day#41 ==Brick Breaker Game in Python PyGame/5 -Ball Movement.mp4 188.2 MB
  • 41 - Day#40 == File Transfer Application in Python Part - 2/1 -Working on the Receiver Part.mp4 181.0 MB
  • 4 - Day#3 == Game Development in Python Part - 1/2 -Graphical Content on Gaming Window.mp4 175.8 MB
  • 45 - Day#44 ==Helicopter Game in Python PyGame/2 -Title and Instruction Label.mp4 165.4 MB
  • 10 - Day#9 ==Request Module in Python/2 -Adding Params.mp4 163.8 MB
  • 46 - Day#45 ==Typing Speed Testing Application in Python/2 -Adding UI Elements.mp4 160.0 MB
  • 46 - Day#45 ==Typing Speed Testing Application in Python/3 -Time Thread Function.mp4 156.1 MB
  • 27 - Day#26 ==Image Processing in Python/2 -Image Filter and Putting Text on Images.mp4 155.8 MB
  • 42 - Day#41 ==Brick Breaker Game in Python PyGame/3 -Drawing Bricks on Gaming Window.mp4 151.3 MB
  • 40 - Day#39 ==File Transfer Application in Python Part - 1/5 -Working on the Sender Part.mp4 150.0 MB
  • 45 - Day#44 ==Helicopter Game in Python PyGame/5 -Game Over and Restart Game.mp4 148.9 MB
  • 9 - Day#8 ==Advanced GUI Programming with Tkinter/3 -Events - Keyboard and Mouse Events.mp4 146.7 MB
[磁力链接] 添加时间:2025-08-26 大小:15.8 GB 最近下载:2025-10-26 热度:626

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

[UdemyCourseDownloader] Complete Data Science & Machine Learning Bootcamp – Python 3

  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
  • 05. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
  • 03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.4 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.7 MB
  • 05. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
  • 11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
  • 08. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 215.3 MB
  • 08. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
  • 04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
  • 10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
  • 03. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.mp4 179.8 MB
  • 05. Predict House Prices with Multivariable Linear Regression/11. Visualising Correlations with a Heatmap.mp4 176.8 MB
  • 03. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.mp4 164.4 MB
  • 11. Use Tensorflow to Classify Handwritten Digits/11. Name Scoping and Image Visualisation in Tensorboard.mp4 162.9 MB
  • 03. Python Programming for Data Science and Machine Learning/9. [Python & Pandas] - Dataframes and Series.mp4 160.7 MB
  • 05. Predict House Prices with Multivariable Linear Regression/26. Residual Analysis (Part 2) Graphing and Comparing Regression Residuals.mp4 160.4 MB
  • 05. Predict House Prices with Multivariable Linear Regression/27. Making Predictions (Part 1) MSE & R-Squared.mp4 160.1 MB
[磁力链接] 添加时间:2021-04-07 大小:15.2 GB 最近下载:2025-10-17 热度:386

[FreeCourseSite.com] Udemy - Algorithmic Trading A-Z with Python, Machine Learning & AWS

  • 28. A Machine Learning-powered Strategy A-Z (DNN)/13. Implementation (Oanda & FXCM).mp4 117.9 MB
  • 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/11. How to traceback more complex Errors.mp4 101.5 MB
  • 7. Trading with Python and OANDAFXCM - an Introduction/10. OANDA How to place Orders and execute Trades.mp4 89.6 MB
  • 22. Implementation and Automation with OANDA (UPDATED!)/17. Trade Monitoring and Reporting.mp4 88.7 MB
  • 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/56. Customization of Plots.mp4 88.2 MB
  • 15. Defining and Backtesting SMA Strategies/4. Finding the optimal SMA Strategy.mp4 86.8 MB
  • 11. Financial Data Analysis with Pandas - an Introduction/12. Importing Financial Data from Excel.mp4 84.6 MB
  • 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/12. Inheritance.mp4 82.7 MB
  • 20. Advanced Backtesting Techniques/13. Adding the Iterative Backtest Child Class for SMA (Part 2).mp4 82.2 MB
  • 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/34. Slicing Rows and Columns with loc (label-based indexing).mp4 81.3 MB
  • 15. Defining and Backtesting SMA Strategies/5. Generalization with OOP An SMA Backtesting Class in action.mp4 77.2 MB
  • 19. Trading Strategies powered by Machine Learning - Classification/7. Generalization with OOP A Classification Backtesting Class in action.mp4 77.0 MB
  • 22. Implementation and Automation with OANDA (UPDATED!)/4. Historical Data, real-time Data and Orders (Recap).mp4 76.3 MB
  • 10. Introduction to Time Series Data in Pandas/4. Downsampling Time Series with resample().mp4 75.7 MB
  • 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/4. How to create an EC2 Instance.mp4 75.3 MB
  • 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/61. Categorical Seaborn Plots.mp4 74.2 MB
  • 17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/4. Defining a Bollinger Bands Mean-Reversion Strategy (Part 2).mp4 74.1 MB
  • 3. Day Trading with OANDA A-Z a Deep Dive/7. Margin and Leverage.mp4 74.0 MB
  • 3. Day Trading with OANDA A-Z a Deep Dive/6. Trading Costs and Performance Attribution.mp4 72.9 MB
  • 27. Working with two or many Strategies (Combination)/8. Strategy Optimization.mp4 71.9 MB
[磁力链接] 添加时间:2023-12-20 大小:14.2 GB 最近下载:2025-10-25 热度:4904

[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

[GigaCourse.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 159.0 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 114.2 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 108.4 MB
  • 35. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
[磁力链接] 添加时间:2022-03-31 大小:14.1 GB 最近下载:2025-10-23 热度:3031

[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 159.0 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 114.2 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 108.4 MB
  • 35. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
[磁力链接] 添加时间:2022-01-11 大小:14.1 GB 最近下载:2025-10-25 热度:2367


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