learning python -移花宫 -武林禁地，闲人禁止入内

Udemy - 50 Days of Learning 50 Pro Level Python Concepts (8.2025)

46 - Day # 45, 46, 47 - Python Basics = Variables, Functions, Data Structures/1 -Crash Course Part - 1.mp4 1.5 GB
7 - Day # 6 - AndroidiOS App Development with Kivy/1 -AndroidiOS Development using Kivy.mp4 1.3 GB
47 - Day # 48, 49, 50 - Python Basics = More on Object Oriented Programming Basic/1 -Crash Course Part - 2.mp4 885.9 MB
30 - Day # 29 - Seaborn Module in Python/2 -Scatter, Bar and Box Plot in Seaborn.mp4 228.7 MB
9 - Day # 8 - Open Computer Vision in Python - Object Detection and More/13 -Object Detection Using OpenCV.mp4 191.4 MB
2 - Day # 1 - Cyber Security - Hashing in Python/3 -Implementing Different Advance Hashing Algorithms.mp4 170.7 MB
28 - Day # 27 - Downloading Video Content from YouTube/2 -Downloading Audio From Video.mp4 162.3 MB
9 - Day # 8 - Open Computer Vision in Python - Object Detection and More/6 -Geometric Shapes on Images.mp4 161.7 MB
28 - Day # 27 - Downloading Video Content from YouTube/3 -Downloading Video in Different Format.mp4 160.5 MB
14 - Day # 13 - Multi-Tasking in Python - Thread Programming/2 -Creating Naming and Joining Single and Multi Threads.mp4 153.5 MB
33 - Day # 32 - Emoji Module in Python/1 -Making Text Emojified.mp4 146.2 MB
38 - Day # 37 - File Handling in Python/1 -Reading Writing into Files in Different Modes.mp4 138.7 MB
4 - Day # 3 - Turtle Module in Python - GUI Creation/2 -Drawing Colorful Things with Turtle.mp4 129.8 MB
18 - Day # 17 - Classes and Objects in Python/3 -Different Examples.mp4 123.9 MB
9 - Day # 8 - Open Computer Vision in Python - Object Detection and More/11 -Implementing Mouse Events in OpenCV.mp4 121.7 MB
32 - Day # 31 - Geographical Module in Python/2 -Longitude Latitude and Distance between Locations.mp4 120.5 MB
19 - Day # 18 - Encapsulation in Python/2 -Protected Attributes.mp4 119.8 MB
18 - Day # 17 - Classes and Objects in Python/1 -Creation Part.mp4 119.6 MB
9 - Day # 8 - Open Computer Vision in Python - Object Detection and More/7 -Capturing Live Video Using OpenCV.mp4 116.8 MB
44 - Day # 43 - Math Module in Python/1 -Making Complex Math Easy with Math Module - 1.mp4 115.0 MB

[磁力链接] 添加时间:2025-10-23 大小:13.8 GB 最近下载:2025-10-23 热度:3

[ DevCourseWeb.com ] Udemy - Ensemble models in machine learning with Python

~Get Your Files Here !/2. Bagging/2. Bagging in Python.mp4 80.2 MB
~Get Your Files Here !/2. Bagging/4. Random Forest in Python.mp4 75.9 MB
~Get Your Files Here !/3. Boosting/5. XGBoost in Python.mp4 61.7 MB
~Get Your Files Here !/2. Bagging/6. Extremely Randomized Trees in Python.mp4 60.2 MB
~Get Your Files Here !/3. Boosting/2. Boosting in Python.mp4 57.1 MB
~Get Your Files Here !/5. Stacking/2. Stacking in Python.mp4 52.2 MB
~Get Your Files Here !/3. Boosting/4. Gradient Boosting in Python.mp4 49.9 MB
~Get Your Files Here !/4. Voting/2. Voting in Python.mp4 39.1 MB
~Get Your Files Here !/1. Introduction/2. Ensemble models and bias-variance tradeoff.mp4 34.9 MB
~Get Your Files Here !/2. Bagging/1. Introduction to bagging.mp4 32.9 MB
~Get Your Files Here !/3. Boosting/1. Introduction to boosting.mp4 21.4 MB
~Get Your Files Here !/4. Voting/1. Introduction to voting.mp4 20.1 MB
~Get Your Files Here !/3. Boosting/3. Introduction to Gradient Boosting.mp4 19.6 MB
~Get Your Files Here !/2. Bagging/3. Introduction to Random Forest.mp4 13.2 MB
~Get Your Files Here !/2. Bagging/5. Introduction to Extremely Randomized Trees.mp4 13.1 MB
~Get Your Files Here !/5. Stacking/1. Introduction to stacking.mp4 8.4 MB
~Get Your Files Here !/2. Bagging/4. Random Forest in Python.srt 13.9 kB
~Get Your Files Here !/2. Bagging/2. Bagging in Python.srt 13.9 kB
~Get Your Files Here !/3. Boosting/5.1 XGBoost.ipynb 12.6 kB
~Get Your Files Here !/3. Boosting/4.1 Gradient Boosting.ipynb 12.6 kB

[磁力链接] 添加时间:2025-10-19 大小:640.2 MB 最近下载:2025-10-25 热度:11

Udemy - Complete Machine Learning & Data Science with Python A-Z (4.2025)

02. Installations for Python/1. Installing Anaconda Distribution for Windows.mp4 128.6 MB
03. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4 93.9 MB
02. Installations for Python/3. Installing Anaconda Distribution for Linux.mp4 89.8 MB
07. Logistic Regression Algorithm in Machine Learning A-Z/2. Logistic Regression Algorithm with Python Part 1.mp4 66.8 MB
05. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4 60.3 MB
06. Bias Variance Trade-Off in Machine Learning/1. What is Bias Variance Trade-Off.mp4 57.7 MB
05. Linear Regression Algorithm in Machine Learning A-Z/5. Linear Regression Algorithm with Python Part 4.mp4 52.2 MB
05. Linear Regression Algorithm in Machine Learning A-Z/2. Linear Regression Algorithm With Python Part 1.mp4 48.1 MB
02. Installations for Python/2. Installing Anaconda Distribution for MacOs.mp4 48.0 MB
03. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 47.2 MB
07. Logistic Regression Algorithm in Machine Learning A-Z/3. Logistic Regression Algorithm with Python Part 2.mp4 46.9 MB
05. Linear Regression Algorithm in Machine Learning A-Z/4. Linear Regression Algorithm with Python Part 3.mp4 41.7 MB
07. Logistic Regression Algorithm in Machine Learning A-Z/6. Logistic Regression Algorithm with Python Part 5.mp4 41.3 MB
17. Principal Component Analysis (PCA) in Machine Learning A-Z/1. Principal Component Analysis (PCA) Theory.mp4 39.8 MB
13. Support Vector Machine Algorithm in Machine Learning A-Z/2. Support Vector Machine Algorithm with Python Part 1.mp4 34.9 MB
09. K Nearest Neighbors Algorithm in Machine Learning A-Z/3. K Nearest Neighbors Algorithm with Python Part 2.mp4 31.6 MB
10. Hyperparameter Optimization/1. Hyperparameter Optimization Theory.mp4 28.4 MB
08. K-fold Cross-Validation in Machine Learning A-Z/2. K-Fold Cross-Validation with Python.mp4 28.2 MB
11. Decision Tree Algorithm in Machine Learning A-Z/5. Decision Tree Algorithm with Python Part 4.mp4 26.3 MB
16. Hierarchical Clustering Algorithm in machine learning data science/1. Hierarchical Clustering Algorithm Theory.mp4 26.2 MB

[磁力链接] 添加时间:2025-10-08 大小:1.6 GB 最近下载:2025-10-24 热度:30

Udemy - Modern Computer Vision & Deep Learning with Python & PyTorch (12.2024)

09. Overview of YOLO Family for Object Detection/01. Overview of YOLO Family.mp4 277.8 MB
05. 1. Image Classification Task of Computer Vision/02. Image Classification with Deep Convolutional Neural Networks using Python.mp4 241.1 MB
20. Implementation, Optimization and Training Of Segmentation Models/01. Implement Segmentation Models (UNet, PSPNet, DeepLab, PAN, and UNet++).mp4 207.3 MB
07. Transfer Learning for Image Classification/assets/Classification-Dataset.zip 184.8 MB
25. Training, Evaluating and Visualizing Instance Segmentation on Custom Dataset/02. Train, Evaluate Instance Segmentation Model & Visualizing Results on Custom Data.mp4 182.5 MB
04. Computer Vision and Deep Convolutional Neural Networks/03. Coding Convolutional Neural Network Architecture from Scratch.mp4 171.0 MB
12. Detectron2 for Ojbect Detection/01. Detectron2 for Ojbect Detection with PyTorch.mp4 168.2 MB
13. Training, Evaluating and Visualizing Object Detection on Custom Dataset/03. Train, Evaluate Object Detection Models & Visualizing Results on Custom Dataset.mp4 160.9 MB
03. Deep Learning for Computer Vision/01. Basics of Deep Learning for Computer Vision.mp4 158.1 MB
11. Overview of RCNN Family for Object Detection/01. Overview of RCNN Family for Object Detection.mp4 154.5 MB
15. 3. Semantic Segmentation Task Of Computer Vision/02. Semantic Segmentation Real-World Applications.mp4 151.4 MB
12. Detectron2 for Ojbect Detection/02. Perform Object Detection using Detectron2 Pretrained Models.mp4 143.7 MB
04. Computer Vision and Deep Convolutional Neural Networks/06. Calculate Accuracy, Precision, Recall and Visualize Confusion Matrix.mp4 124.0 MB
21. Test Models and Visualize Segmentation Results/01. Test Models and Calculate IOU,Pixel Accuracy,Fscore.mp4 119.0 MB
17. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/04. Data Loading with PyTorch Customized Dataset Class.mp4 114.9 MB
02. What is Computer Vision & its Applications/01. Introduction to Computer Vision and its Real-world Applications.mp4 114.0 MB
10. Video Object Detection in Real-time/04. Testing YOLO8 on Videos and Images.mp4 112.7 MB
13. Training, Evaluating and Visualizing Object Detection on Custom Dataset/01. Custom Dataset for Object Detection.mp4 92.7 MB
25. Training, Evaluating and Visualizing Instance Segmentation on Custom Dataset/01. Custom Dataset for Instance Segmentation.mp4 90.3 MB
21. Test Models and Visualize Segmentation Results/03. Visualize Segmentation Results and Generate RGB Segmented Map.mp4 90.1 MB

[磁力链接] 添加时间:2025-09-30 大小:5.2 GB 最近下载:2025-10-22 热度:96

Udemy - Machine Learning and Deep Learning Bootcamp in Python (1.2025)

37. Q Learning Implementation (Tic Tac Toe)/6. Tic tac toe with Q learning implementation VI.mp4 116.2 MB
05. Linear Regression/4. Linear regression implementation I.mp4 97.0 MB
32. ### NUMERICAL OPTIMIZATION (OPTIMIZERS) ###/6. Stochastic gradient descent implementation I.mp4 85.0 MB
09. Naive Bayes Classifier/6. Naive Bayes example - clustering news.mp4 83.6 MB
39. Deep Q Learning Implementation (Tic Tac Toe)/3. Tic Tac Toe with deep Q learning implementation III.mp4 76.5 MB
06. Logistic Regression/4. Logistic regression example II- credit scoring.mp4 75.5 MB
06. Logistic Regression/3. Logistic regression example I - sigmoid function.mp4 69.1 MB
32. ### NUMERICAL OPTIMIZATION (OPTIMIZERS) ###/9. ADAGrad implementation.mp4 62.6 MB
25. Convolutional Neural Networks (CNNs) Implementation/2. Handwritten digit classification II.mp4 60.9 MB
08. K-Nearest Neighbor Classifier/6. K-nearest neighbor implementation II.mp4 59.2 MB
09. Naive Bayes Classifier/1. What is the naive Bayes classifier.mp4 57.7 MB
15. Clustering/3. K-means clustering - text clustering.mp4 57.5 MB
25. Convolutional Neural Networks (CNNs) Implementation/1. Handwritten digit classification I.mp4 57.0 MB
16. Machine Learning Project I - Face Recognition/4. Understanding eigenfaces.mp4 56.2 MB
35. Exploration vs. Exploitation Problem/3. N-armed bandit problem implementation.mp4 55.9 MB
28. Recurrent Neural Networks (RNNs) Implementation/3. Time series analysis example III.mp4 55.2 MB
26. Machine Learning Project III - Identifying Objects with CNNs/5. Tuning the parameters - regularization.mp4 54.5 MB
34. Markov Decision Process (MDP) Theory/3. Markov decision processes - equations.mp4 52.1 MB
37. Q Learning Implementation (Tic Tac Toe)/8. Tic tac toe with Q learning implementation VIII.mp4 51.0 MB
06. Logistic Regression/1. What is logistic regression.mp4 50.7 MB

[磁力链接] 添加时间:2025-09-19 大小:6.3 GB 最近下载:2025-10-25 热度:132

Udemy - Python and Machine Learning for Complete Beginners (3.2023)

21 - Principal Component Analysis/438 - A Solution to the PCA Exercise.mp4 166.5 MB
2 - Loops and Conditions/38 - A Solution to the Boolean Operators Exercise.mp4 150.8 MB
18 - Clustering Analysing Clustered Data/388 - Iris Exercise Solution.mp4 145.2 MB
14 - Numpy Numerical Python/287 - Creating Numpy Arrays.mp4 135.8 MB
19 - Naive Bayes Making Predictions on the Basis of Probabilities/408 - Bayes Theorem.mp4 134.9 MB
9 - Conways Game of Life/193 - Getting Widget Sizes.mp4 126.7 MB
21 - Principal Component Analysis/442 - Character Recognition.mp4 125.0 MB
8 - ObjectOriented Programming/186 - The Property Class.mp4 123.9 MB
22 - Artificial Neural Networks ANNs/453 - An ANN for Recognising Digits.mp4 122.2 MB
22 - Artificial Neural Networks ANNs/449 - A Basic ANN.mp4 122.1 MB
15 - Graphs and Plotting/318 - Scatter Plots.mp4 120.6 MB
15 - Graphs and Plotting/313 - Word Length Plot Solution First Part.mp4 120.5 MB
21 - Principal Component Analysis/432 - Explained Variance Ratios.mp4 119.0 MB
13 - Reading and Writing Files/280 - Game of Life Save and Load.mp4 118.2 MB
13 - Reading and Writing Files/273 - Numbers Versus Bytes.mp4 118.0 MB
18 - Clustering Analysing Clustered Data/407 - Using KNeighborsClassifier.mp4 117.8 MB
21 - Principal Component Analysis/443 - Configuring Logistic Regression.mp4 117.6 MB
19 - Naive Bayes Making Predictions on the Basis of Probabilities/416 - Naive Bayes Classifiers.mp4 115.1 MB
9 - Conways Game of Life/201 - Implementing the Game of Life Rules.mp4 114.6 MB
18 - Clustering Analysing Clustered Data/401 - Determining Epsilon.mp4 114.1 MB

[磁力链接] 添加时间:2025-09-12 大小:30.7 GB 最近下载:2025-10-25 热度:187

Udemy - Natural Language Processing with Deep Learning in Python (12.2019)

11. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.4 MB
8. Recursive Neural Networks (Tree Neural Networks)/10. RNTN in Tensorflow (Code).mp4 139.9 MB
7. Using Neural Networks to Solve NLP Problems/5. Parts-of-Speech Tagging Recurrent Neural Network in Tensorflow.mp4 135.7 MB
4. Word Embeddings and Word2Vec/10. Word2Vec in Code with Numpy.mp4 113.5 MB
2. Beginner's Corner Working with Word Vectors/4. Pretrained word vectors from GloVe.mp4 102.2 MB
9. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.1 MB
9. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 98.0 MB
5. Word Embeddings using GloVe/2. Matrix Factorization for Recommender Systems - Basic Concepts.mp4 94.5 MB
9. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.2 MB
9. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
11. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Word Embeddings using GloVe/11. GloVe in Tensorflow with Gradient Descent.mp4 78.5 MB
6. Unifying Word2Vec and GloVe/2. PMI in Code.mp4 76.7 MB
2. Beginner's Corner Working with Word Vectors/5. Pretrained word vectors from word2vec.mp4 66.3 MB
4. Word Embeddings and Word2Vec/5. Negative Sampling.mp4 62.0 MB
2. Beginner's Corner Working with Word Vectors/7. Text Classification in Code.mp4 57.2 MB
6. Unifying Word2Vec and GloVe/1. Pointwise Mutual Information - Word2Vec as Matrix Factorization.mp4 55.9 MB
8. Recursive Neural Networks (Tree Neural Networks)/7. Recursive Neural Network in Theano.mp4 55.1 MB
5. Word Embeddings using GloVe/14. Training GloVe with SVD (Singular Value Decomposition).mp4 54.5 MB
8. Recursive Neural Networks (Tree Neural Networks)/9. RNTN in Tensorflow (Tips).mp4 51.9 MB

[磁力链接] 添加时间:2025-09-01 大小:3.4 GB 最近下载:2025-10-26 热度:160

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:2025-10-25 热度:624

[ WebToolTip.com ] Udemy - Python for AI and Machine Learning - From Beginner to Pro

~Get Your Files Here !/9 - Capstone Project 2 Air Quality Monitoring/3 -Air Quality Monitoring in India A Python and ML Case Study Part 3.mp4 163.8 MB
~Get Your Files Here !/6 - Deep Learning with TensorFlow and PyTorch/1 -Convolutional neural network (CNN) with PyTorch for image classification.mp4 131.3 MB
~Get Your Files Here !/9 - Capstone Project 2 Air Quality Monitoring/data/DrnMppr-ORT-AOI.tif 125.4 MB
~Get Your Files Here !/9 - Capstone Project 2 Air Quality Monitoring/data/ortho.tif 125.4 MB
~Get Your Files Here !/11 - Capstoe Project 4 Comprehensive Guide to Machine Learning, and Data Processing/2 -Comprehensive Guide to Machine Learning, and Data Processing, Part 2.mp4 121.8 MB
~Get Your Files Here !/9 - Capstone Project 2 Air Quality Monitoring/2 -Air Quality Monitoring in India A Python and ML Case Study Part 2.mp4 116.7 MB
~Get Your Files Here !/6 - Deep Learning with TensorFlow and PyTorch/2 -Using GPUs for faster training.mp4 115.4 MB
~Get Your Files Here !/11 - Capstoe Project 4 Comprehensive Guide to Machine Learning, and Data Processing/1 -Comprehensive Guide to Machine Learning, and Data Processing, Part 1.mp4 109.2 MB
~Get Your Files Here !/10 - Capstone Project 3 Counting Plants Using Computer Vision Techniques/1 -Detecting and Counting Plants Using Computer Vision Techniques.mp4 104.1 MB
~Get Your Files Here !/11 - Capstoe Project 4 Comprehensive Guide to Machine Learning, and Data Processing/3 -Comprehensive Guide to Machine Learning, and Data Processing, Part 3.mp4 87.8 MB
~Get Your Files Here !/3 - Data Handling with Pandas and NumPy/1 -Introduction to NumPy for numerical computing.mp4 86.0 MB
~Get Your Files Here !/9 - Capstone Project 2 Air Quality Monitoring/1 -Air Quality Monitoring in India A Python and ML Case Study Part 1.mp4 85.5 MB
~Get Your Files Here !/9 - Capstone Project 2 Air Quality Monitoring/4 -Air Quality Monitoring in India A Python and ML Case Study Part 4.mp4 84.6 MB
~Get Your Files Here !/11 - Capstoe Project 4 Comprehensive Guide to Machine Learning, and Data Processing/4 -Comprehensive Guide to Machine Learning, and Data Processing, Part 4.mp4 79.3 MB
~Get Your Files Here !/8 - Capstone Project 1 Crop Health Prediction/1 -Building a Machine Learning Model for Crop Health Analysis.mp4 79.3 MB
~Get Your Files Here !/1 - Introduction/1 -Welcome and course overview.mp4 73.7 MB
~Get Your Files Here !/4 - Data Visualization with Matplotlib and Seaborn/2 -Advanced visualizations with Seaborn Heatmaps, pair plots, and box plots.mp4 71.9 MB
~Get Your Files Here !/2 - Python Programming Fundamentals/5 -Working with lists, dictionaries, and sets for data processing.mp4 64.0 MB
~Get Your Files Here !/4 - Data Visualization with Matplotlib and Seaborn/1 -Creating plots with Matplotlib Line, scatter, and bar charts.mp4 64.0 MB
~Get Your Files Here !/9 - Capstone Project 2 Air Quality Monitoring/data.csv 61.2 MB

[磁力链接] 添加时间:2025-08-24 大小:2.5 GB 最近下载:2025-10-25 热度:365

Udemy - Data Science Deep Learning and Neural Networks in Python (12.2023)

11 - Setting Up Your Environment FAQ by Student Request/77 - Anaconda Environment Setup.mp4 291.7 MB
13 - Effective Learning Strategies for Machine Learning FAQ by Student Request/88 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 181.5 MB
13 - Effective Learning Strategies for Machine Learning FAQ by Student Request/85 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced.mp4 170.9 MB
7 - TensorFlow exercises practice and what to learn next/54 - Visualizing what a neural network has learned using TensorFlow Playground.mp4 167.8 MB
4 - Classifying more than 2 things at a time/22 - ECommerce Course Project PreProcessing the Data.mp4 153.6 MB
10 - HigherLevel Discussion/74 - Who should learn backpropagation in 2020 and beyond.mp4 140.4 MB
13 - Effective Learning Strategies for Machine Learning FAQ by Student Request/87 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 132.6 MB
7 - TensorFlow exercises practice and what to learn next/53 - TensorFlow plugandplay example.mp4 131.0 MB
5 - Training a neural network/39 - ECommerce Course Project Training Logistic Regression with Softmax.mp4 127.7 MB
6 - Practical Machine Learning/46 - Neural Networks for Regression.mp4 122.1 MB
12 - Extra Help With Python Coding for Beginners FAQ by Student Request/82 - Proof that using Jupyter Notebook is the same as not using it.mp4 119.4 MB
5 - Training a neural network/37 - Backpropagation part 3.mp4 109.6 MB
4 - Classifying more than 2 things at a time/17 - Feedforward in SlowMo part 1.mp4 103.5 MB
4 - Classifying more than 2 things at a time/23 - ECommerce Course Project Making Predictions.mp4 95.2 MB
10 - HigherLevel Discussion/73 - Who should take this course in 2020 and beyond.mp4 94.0 MB
5 - Training a neural network/32 - Training Logistic Regression with Softmax part 1.mp4 91.2 MB
9 - Backpropagation Supplementary Lectures/71 - Backpropagation with Softmax Troubleshooting.mp4 83.1 MB
5 - Training a neural network/36 - Backpropagation in code.mp4 82.4 MB
1 - Welcome/2 - Where to get the code.mp4 78.8 MB
10 - HigherLevel Discussion/75 - Where does this course fit into your deep learning studies.mp4 75.9 MB

[磁力链接] 添加时间:2025-08-14 大小:4.2 GB 最近下载:2025-10-25 热度:98

Udemy - Deep Learning Prerequisites Logistic Regression in Python (3.2020)

7. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
2. Basics What is linear classification What's the relation to neural networks/3. How do we calculate the output of a neuron logistic classifier - Theory.srt 84.1 MB
7. Appendix FAQ/10. Proof that using Jupyter Notebook is the same as not using it.srt 82.1 MB
7. Appendix FAQ/10. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Practical concerns/11. Practical Section Summary.srt 82.1 MB
1. Start Here/1. Introduction and Outline.mp4 49.2 MB
7. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
7. Appendix FAQ/9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
7. Appendix FAQ/14. BONUS Where to get discount coupons and FREE deep learning material.mp4 39.7 MB
7. Appendix FAQ/13. What order should I take your courses in (part 2).mp4 39.4 MB
7. Appendix FAQ/12. What order should I take your courses in (part 1).mp4 30.7 MB
2. Basics What is linear classification What's the relation to neural networks/5. Interpretation of Logistic Regression Output.mp4 29.2 MB
3. Solving for the optimal weights/7. Maximizing the likelihood.mp4 26.4 MB
4. Practical concerns/8. The donut problem.mp4 25.9 MB
7. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
6. Project Facial Expression Recognition/5. Facial Expression Recognition in Code.mp4 25.2 MB
4. Practical concerns/10. Why Divide by Square Root of D.mp4 24.6 MB
7. Appendix FAQ/2. Gradient Descent Tutorial.mp4 23.9 MB
6. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 22.5 MB
3. Solving for the optimal weights/10. E-Commerce Course Project Training the Logistic Model.mp4 17.9 MB

[磁力链接] 添加时间:2025-08-12 大小:1.3 GB 最近下载:2025-10-26 热度:187

Udemy - PyTorch for Deep Learning with Python Bootcamp (9.2019)

1. Course Overview, Installs, and Setup/1.1 PYTORCH_NOTEBOOKS.zip.zip 205.5 MB
1. Course Overview, Installs, and Setup/2.1 PYTORCH_NOTEBOOKS.zip.zip 205.5 MB
8. CNN - Convolutional Neural Networks/17. Loading Real Image Data - Part Two.mp4 172.2 MB
7. ANN - Artificial Neural Networks/16. Full ANN Code Along - Regression - Part One - Feature Engineering.mp4 169.5 MB
8. CNN - Convolutional Neural Networks/18. CNN on Custom Images - Part One - Loading Data.mp4 166.6 MB
7. ANN - Artificial Neural Networks/10. Linear Regression with PyTorch - Part Two.mp4 157.1 MB
8. CNN - Convolutional Neural Networks/15. CIFAR-10 DataSet with CNN - Code Along - Part Two.mp4 153.4 MB
9. Recurrent Neural Networks/10. RNN on a Time Series - Part Two.mp4 147.5 MB
9. Recurrent Neural Networks/8. Basic RNN - Training and Forecasting.mp4 143.3 MB
7. ANN - Artificial Neural Networks/22. ANN - Exercise Solutions.mp4 142.4 MB
7. ANN - Artificial Neural Networks/17. Full ANN Code Along - Regression - Part 2 - Categorical and Continuous Features.mp4 135.5 MB
8. CNN - Convolutional Neural Networks/11. MNIST with CNN - Code Along - Part One.mp4 128.9 MB
7. ANN - Artificial Neural Networks/19. Full ANN Code Along - Regression - Part Four - Training and Evaluation.mp4 122.9 MB
8. CNN - Convolutional Neural Networks/3. ANN with MNIST - Part One - Data.mp4 122.4 MB
1. Course Overview, Installs, and Setup/2. Installation and Environment Setup.mp4 121.6 MB
7. ANN - Artificial Neural Networks/18. Full ANN Code Along - Regression - Part Three - Tabular Model.mp4 120.6 MB
10. Using a GPU with PyTorch and CUDA/2. Using GPU for PyTorch.mp4 119.6 MB
11. NLP with PyTorch/2. Encoding Text Data.mp4 114.7 MB
7. ANN - Artificial Neural Networks/11. DataSets with PyTorch.mp4 114.4 MB
8. CNN - Convolutional Neural Networks/12. MNIST with CNN - Code Along - Part Two.mp4 110.6 MB

[磁力链接] 添加时间:2025-08-11 大小:7.2 GB 最近下载:2025-10-25 热度:172

Udemy - Complete Python and Machine Learning in Financial Analysis (3.2025)

10 - Deep Learning in Finance/3 -Multilayer perceptrons for time series forecasting.mp4 284.7 MB
9 - Advanced Machine Learning Models in Finance/7 -Bayesian hyperparameter optimization.mp4 276.5 MB
10 - Deep Learning in Finance/4 -Convolutional neural networks for time series forecasting.mp4 259.7 MB
9 - Advanced Machine Learning Models in Finance/3 -Theres more about use advanced classifiers to achieve better results.mp4 236.4 MB
9 - Advanced Machine Learning Models in Finance/5 -Investigating the feature importance.mp4 207.0 MB
6 - Monte Carlo Simulations in Finance/2 -Simulating stock price dynamics using Geometric Brownian Motion.mp4 206.7 MB
10 - Deep Learning in Finance/5 -Recurrent neural networks for time series forecasting.mp4 200.2 MB
3 - Time Series Modeling/6 -Modeling time series with ARIMA class models.mp4 182.7 MB
10 - Deep Learning in Finance/2 -Deep learning for tabular data.mp4 173.3 MB
2 - Technical Analysis in Python/3 -Backtesting a strategy based on simple moving average.mp4 171.5 MB
8 - Identifying Credit Default with Machine Learning/3 -Exploratory data analysis.mp4 169.4 MB
1 - Financial Data and Preprocessing/10 -Investigating stylized facts of asset returns.mp4 165.6 MB
2 - Technical Analysis in Python/4 -Calculating Bollinger Bands and testing a buysell strategy.mp4 161.2 MB
2 - Technical Analysis in Python/6 -Building an interactive dashboard for TA.mp4 158.8 MB
8 - Identifying Credit Default with Machine Learning/9 -Tuning hyperparameters using grid search and cross-validation.mp4 127.4 MB
9 - Advanced Machine Learning Models in Finance/2 -Investigating advanced classifiers.mp4 122.6 MB
8 - Identifying Credit Default with Machine Learning/7 -Fitting a decision tree classifier.mp4 115.8 MB
8 - Identifying Credit Default with Machine Learning/5 -Dealing with missing values.mp4 115.0 MB
3 - Time Series Modeling/5 -Modeling time series with exponential smoothing methods.mp4 112.6 MB
4 - Multi-Factor Models/5 -Implementing the four- and five-factor models in Python.mp4 111.8 MB

[磁力链接] 添加时间:2025-08-09 大小:6.4 GB 最近下载:2025-10-25 热度:236

Udemy - Python for Machine Learning & Data Science Masterclass (9.2021)

23 - Hierarchical Clustering/004 Hierarchical Clustering - Coding Part Two - Scikit-Learn.mp4 219.4 MB
05 - Pandas/028 Pandas Project Exercise Solutions.mp4 180.9 MB
13 - Logistic Regression/016 Logistic Regression Project Exercise - Solutions.mp4 169.1 MB
08 - Data Analysis and Visualization Capstone Project Exercise/004 Capstone Project Solutions - Part Three.mp4 144.1 MB
17 - Random Forests/007 Coding Classification with Random Forest Classifier - Part Two.mp4 136.7 MB
19 - Supervised Learning Capstone Project - Cohort Analysis and Tree Based Methods/003 Solution Walkthrough - Supervised Learning Project - Cohort Analysis.mp4 136.5 MB
05 - Pandas/026 Pandas Pivot Tables.mp4 135.4 MB
24 - DBSCAN - Density-based spatial clustering of applications with noise/007 DBSCAN - Outlier Project Exercise Solutions.mp4 134.1 MB
25 - PCA - Principal Component Analysis and Manifold Learning/007 PCA - Project Exercise Solution.mp4 125.3 MB
11 - Feature Engineering and Data Preparation/005 Dealing with Missing Data _ Part Two - Filling or Dropping data based on Rows.mp4 123.3 MB
16 - Tree Based Methods_ Decision Tree Learning/008 Coding Decision Trees - Part Two -Creating the Model.mp4 121.4 MB
23 - Hierarchical Clustering/003 Hierarchical Clustering - Coding Part One - Data and Visualization.mp4 120.6 MB
19 - Supervised Learning Capstone Project - Cohort Analysis and Tree Based Methods/004 Solution Walkthrough - Supervised Learning Project - Tree Models.mp4 119.8 MB
07 - Seaborn Data Visualizations/002 Scatterplots with Seaborn.mp4 116.7 MB
08 - Data Analysis and Visualization Capstone Project Exercise/002 Capstone Project Solutions - Part One.mp4 116.0 MB
26 - Model Deployment/003 Model Persistence.mp4 115.1 MB
24 - DBSCAN - Density-based spatial clustering of applications with noise/002 DBSCAN - Theory and Intuition.mp4 114.4 MB
22 - K-Means Clustering/011 K-Means Clustering Exercise Solution - Part Two.mp4 113.5 MB
08 - Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two.mp4 111.3 MB
19 - Supervised Learning Capstone Project - Cohort Analysis and Tree Based Methods/002 Solution Walkthrough - Supervised Learning Project - Data and EDA.mp4 111.3 MB

[磁力链接] 添加时间:2025-08-02 大小:12.3 GB 最近下载:2025-10-25 热度:324

Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+) (11.2022)

9 - Setting Up Your Environment FAQ by Student Request/45 - Anaconda Environment Setup.mp4 323.3 MB
8 - Machine Learning Basics/36 - Classification in Code.mp4 217.9 MB
9 - Setting Up Your Environment FAQ by Student Request/46 - How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 200.7 MB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/50 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 142.4 MB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/49 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 141.0 MB
7 - Beginner Troubleshooting/33 - What if I dont meet the math prerequisites.mp4 121.2 MB
10 - Extra Help With Python Coding for Beginners FAQ by Student Request/48 - Proof that using Jupyter Notebook is the same as not using it.mp4 113.3 MB
2 - Numpy New/9 - Generating Data.mp4 90.7 MB
8 - Machine Learning Basics/38 - Regression in Code.mp4 81.0 MB
8 - Machine Learning Basics/35 - What is Classification.mp4 76.3 MB
12 - Appendix FAQ Finale/51 - BONUS.mp4 63.8 MB
1 - Welcome and Logistics/1 - Introduction and Outline.mp4 63.4 MB
2 - Numpy New/4 - Arrays vs Lists.mp4 45.4 MB
3 - Matplotlib New/19 - Where to Learn More Matplotlib.mp4 44.3 MB
2 - Numpy New/12 - Suggestion Box.mp4 41.6 MB
8 - Machine Learning Basics/39 - What is a Feature Vector.mp4 40.4 MB
8 - Machine Learning Basics/42 - Comparing Different Machine Learning Models.mp4 40.4 MB
2 - Numpy New/7 - Matrices.mp4 36.5 MB
8 - Machine Learning Basics/37 - What is Regression.mp4 36.4 MB
8 - Machine Learning Basics/34 - Machine Learning Section Introduction.mp4 35.7 MB

[磁力链接] 添加时间:2025-07-30 大小:2.4 GB 最近下载:2025-10-16 热度:70

Udemy - Machine Learning and AI Support Vector Machines in Python (4.2019)

9. Appendix/2. Windows-Focused Environment Setup 2018.mp4 203.8 MB
9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 175.1 MB
9. Appendix/11. What order should I take your courses in (part 2).mp4 129.0 MB
9. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.4 MB
2. Beginner_s Corner/3. Spam Detection with SVMs.mp4 106.4 MB
9. Appendix/10. What order should I take your courses in (part 1).mp4 92.7 MB
7. Implementations and Extensions/3. SVM with Projected Gradient Descent Code.mp4 87.7 MB
9. Appendix/6. How to Code by Yourself (part 1).mp4 86.6 MB
8. Neural Networks (Beginner_s Corner 2)/2. RBF Networks.mp4 83.4 MB
9. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
8. Neural Networks (Beginner_s Corner 2)/7. Neural Network-SVM Mashup.mp4 75.8 MB
4. Linear SVM/5. Linear and Quadratic Programming.mp4 67.3 MB
7. Implementations and Extensions/5. Kernel SVM Gradient Descent with Primal (Code).mp4 61.6 MB
5. Duality/2. Duality and Lagrangians (part 1).mp4 61.5 MB
1. Welcome/2. Course Objectives.mp4 60.5 MB
9. Appendix/7. How to Code by Yourself (part 2).mp4 59.4 MB
2. Beginner_s Corner/6. Cross-Validation.mp4 57.3 MB
4. Linear SVM/9. Linear SVM with Gradient Descent (Code).mp4 54.5 MB
2. Beginner_s Corner/5. Regression with SVMs.mp4 53.4 MB
4. Linear SVM/4. Linear SVM Objective.mp4 51.6 MB

[磁力链接] 添加时间:2025-07-29 大小:3.3 GB 最近下载:2025-10-25 热度:213

Udemy - Advanced AI Deep Reinforcement Learning in Python (11.2024)

6 - Deep Q-Learning/7 -Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
6 - Deep Q-Learning/8 -Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
9 - Setting Up Your Environment (FAQ by Student Request)/2 -Anaconda Environment Setup.mp4 195.2 MB
7 - A3C/5 -A3C - Code pt 4.mp4 193.3 MB
2 - The Basics of Reinforcement Learning/2 -Elements of a Reinforcement Learning Problem.mp4 110.4 MB
7 - A3C/4 -A3C - Code pt 3.mp4 88.6 MB
8 - Theano and Tensorflow Basics Review/4 -(Review) Tensorflow Neural Network in Code.mp4 82.2 MB
10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/3 -Proof that using Jupyter Notebook is the same as not using it.mp4 82.0 MB
8 - Theano and Tensorflow Basics Review/1 -(Review) Theano Basics.mp4 81.9 MB
1 - Introduction and Logistics/2 -Where to get the Code.mp4 76.8 MB
7 - A3C/1 -A3C - Theory and Outline.mp4 75.2 MB
8 - Theano and Tensorflow Basics Review/2 -(Review) Theano Neural Network in Code.mp4 71.0 MB
2 - The Basics of Reinforcement Learning/11 -Q-Learning.mp4 70.3 MB
8 - Theano and Tensorflow Basics Review/3 -(Review) Tensorflow Basics.mp4 66.5 MB
7 - A3C/3 -A3C - Code pt 2.mp4 60.4 MB
2 - The Basics of Reinforcement Learning/9 -Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 58.2 MB
2 - The Basics of Reinforcement Learning/4 -Markov Decision Processes (MDPs).mp4 53.3 MB
1 - Introduction and Logistics/1 -Introduction and Outline.mp4 52.9 MB
7 - A3C/2 -A3C - Code pt 1 (Warmup).mp4 52.5 MB
2 - The Basics of Reinforcement Learning/6 -Value Functions and the Bellman Equation.mp4 50.5 MB

[磁力链接] 添加时间:2025-07-24 大小:3.1 GB 最近下载:2025-10-19 热度:146

deep-learning-prerequisites-linear-regression-in-python

6. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
1. Welcome/4. Anyone Can Succeed in this Course.mp4 88.1 MB
7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
1. Welcome/5. Statistics vs. Machine Learning.mp4 58.2 MB
1. Welcome/1. Welcome.mp4 52.1 MB
6. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
8/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
9. Appendix FAQ Finale/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
8/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 37.8 MB
8/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 30.7 MB
2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 25.7 MB
4. Practical machine learning issues/17. Why Divide by Square Root of D.mp4 24.6 MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
2. 1-D Linear Regression Theory and Code/9. Moore's Law Derivation.mp4 21.2 MB
2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
8/1. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. 1-D Linear Regression Theory and Code/8. Demonstrating Moore's Law in Code.mp4 18.4 MB
4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4 18.1 MB

[磁力链接] 添加时间:2025-07-23 大小:1.2 GB 最近下载:2025-10-23 热度:17

Udemy - Cluster Analysis and Unsupervised Machine Learning in Python (11.2023)

05 - Setting Up Your Environment (FAQ by Student Request)/002 Anaconda Environment Setup.mp4 176.1 MB
04 - Gaussian Mixture Models (GMMs)/002 Write a Gaussian Mixture Model in Python Code.mp4 112.4 MB
07 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 85.2 MB
07 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 79.4 MB
05 - Setting Up Your Environment (FAQ by Student Request)/003 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 78.3 MB
06 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/003 Proof that using Jupyter Notebook is the same as not using it.mp4 67.4 MB
02 - K-Means Clustering/020 K-Means Application Finding Clusters of Related Words.mp4 67.1 MB
06 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/001 How to Code by Yourself (part 1).mp4 58.8 MB
01 - Introduction to Unsupervised Learning/004 Why Use Clustering.mp4 57.5 MB
02 - K-Means Clustering/007 Hard K-Means Exercise 3 Solution.mp4 56.3 MB
01 - Introduction to Unsupervised Learning/001 Introduction.mp4 47.9 MB
07 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 44.5 MB
03 - Hierarchical Clustering/004 Application Evolution.mp4 43.2 MB
03 - Hierarchical Clustering/005 Application Donald Trump vs. Hillary Clinton Tweets.mp4 42.7 MB
08 - Appendix FAQ Finale/002 BONUS.mp4 41.8 MB
02 - K-Means Clustering/012 Soft K-Means in Python Code.mp4 37.2 MB
02 - K-Means Clustering/003 Hard K-Means Exercise 1 Solution.mp4 32.0 MB
01 - Introduction to Unsupervised Learning/003 What is unsupervised learning used for.mp4 30.5 MB
04 - Gaussian Mixture Models (GMMs)/001 Gaussian Mixture Model (GMM) Algorithm.mp4 29.0 MB
02 - K-Means Clustering/022 Suggestion Box.mp4 28.4 MB

[磁力链接] 添加时间:2025-07-13 大小:1.7 GB 最近下载:2025-10-20 热度:95

Udemy - Machine Learning Natural Language Processing in Python (V2) (12.2024)

18 - Recurrent Neural Networks/9 -Parts-of-Speech (POS) Tagging in Tensorflow.mp4 152.1 MB
3 - Vector Models and Text Preprocessing/14 -TF-IDF (Code).mp4 131.0 MB
16 - Feedforward Artificial Neural Networks/13 -CBOW in Tensorflow (Advanced).mp4 123.3 MB
22 - Effective Learning Strategies for Machine Learning FAQ/4 -Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
9 - Spam Detection/6 -Spam Detection in Python.mp4 112.8 MB
7 - Cipher Decryption (Advanced)/4 -Genetic Algorithms.mp4 110.3 MB
3 - Vector Models and Text Preprocessing/10 -Count Vectorizer (Code).mp4 106.9 MB
6 - Article Spinner (Intermediate)/4 -Article Spinner in Python (pt 1).mp4 100.6 MB
16 - Feedforward Artificial Neural Networks/4 -Activation Functions.mp4 93.7 MB
17 - Convolutional Neural Networks/6 -CNN Architecture.mp4 93.6 MB
11 - Text Summarization/8 -TextRank in Python (Advanced).mp4 86.3 MB
18 - Recurrent Neural Networks/6 -GRU and LSTM (pt 1).mp4 86.2 MB
13 - Latent Semantic Analysis (Latent Semantic Indexing)/2 -SVD (Singular Value Decomposition) Intuition.mp4 85.8 MB
15 - The Neuron/4 -Text Classification in Tensorflow.mp4 85.6 MB
17 - Convolutional Neural Networks/2 -What is Convolution.mp4 83.7 MB
3 - Vector Models and Text Preprocessing/16 -How to Build TF-IDF From Scratch.mp4 83.7 MB
22 - Effective Learning Strategies for Machine Learning FAQ/3 -Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
11 - Text Summarization/4 -Text Summarization in Python.mp4 81.9 MB
6 - Article Spinner (Intermediate)/5 -Article Spinner in Python (pt 2).mp4 79.0 MB
17 - Convolutional Neural Networks/5 -Convolution on Color Images.mp4 78.8 MB

[磁力链接] 添加时间:2025-07-10 大小:7.3 GB 最近下载:2025-10-26 热度:245