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【影视】 [UdemyCourseDownloader] Data Science, Deep Learning, & Machine Learning with Python

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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
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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
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【影视】 [GigaCourse.Com] Udemy - Complete 2022 Data Science & Machine Learning Bootcamp

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04. Introduction to Optimisation and the Gradient Descent Algorithm/08. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/06. [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
12. Serving a Tensorflow Model through a Website/12. Introduction to OpenCV.mp4 246.8 MB
03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.3 MB
12. Serving a Tensorflow Model through a Website/14. Calculating the Centre of Mass and Shifting the Image.mp4 234.1 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/09. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.6 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/10. Use the Model to Make Predictions.mp4 228.9 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 3/06. 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/09. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
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~Get Your Files Here !/2. Simple Linear Regression/1. Step 1 Intuition.mp4 256.8 MB
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~Get Your Files Here !/3. Multiple Linear Regression/5. Step 4 Categorical Encoding.mp4 155.5 MB
~Get Your Files Here !/1. Data Pre-Processing/11. Refresher Object Oriented Programming in Python.mp4 153.1 MB
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~Get Your Files Here !/1. Data Pre-Processing/7. Step 3 Managing Missing Data.mp4 119.7 MB
~Get Your Files Here !/4. Polynomial Linear Regression/6. Step 6 Visualizing Results.mp4 118.8 MB
~Get Your Files Here !/3. Multiple Linear Regression/8. Step 7 Making Predictions!.mp4 115.1 MB
~Get Your Files Here !/4. Polynomial Linear Regression/1. Step 1 Intuition.mp4 107.4 MB
~Get Your Files Here !/3. Multiple Linear Regression/2. Step 1b More Intuition.mp4 102.8 MB
~Get Your Files Here !/3. Multiple Linear Regression/4. Step 3 Data Import.mp4 98.6 MB
~Get Your Files Here !/3. Multiple Linear Regression/1. Step 1a Intuition.mp4 92.0 MB
~Get Your Files Here !/1. Data Pre-Processing/1. ML Environment Setup Anaconda.mp4 90.6 MB
~Get Your Files Here !/2. Simple Linear Regression/6. Step 6 Data Visualization.mp4 82.9 MB
~Get Your Files Here !/4. Polynomial Linear Regression/2. Step 2 Problem Set.mp4 75.7 MB
~Get Your Files Here !/2. Simple Linear Regression/5. Step 5 Model Training.mp4 73.8 MB
~Get Your Files Here !/4. Polynomial Linear Regression/5. Step 5 Model Training.mp4 65.2 MB
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【其他】 [UdemyCourseDownloader] Introduction to Machine Learning & Deep Learning in Python

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17. Convolutional Neural Networks/8. Convolutional neural networks - illustration.vtt 74.0 MB
02. Installations/3. Installing Keras and TensorFlow.vtt 68.5 MB
08. Decision Trees/3. Decision trees introduction - information gain.mp4 49.2 MB
03. Linear Regression/2. Linear regression theory - optimization.mp4 44.3 MB
12. Neural Networks/29. Neural network example II - iris dataset.mp4 37.3 MB
03. Linear Regression/1. Linear regression introduction.mp4 27.7 MB
12. Neural Networks/12. Optimization - cost function.mp4 27.2 MB
06. Naive Bayes Classifier/7. Naive Bayes example - clustering news.mp4 24.5 MB
06. Naive Bayes Classifier/5. Text clustering - basics.mp4 23.2 MB
19. Course Materials (DOWNLOADS)/1.1 PythonMachineLearning.zip.zip 23.0 MB
07. Support Vector Machine (SVM)/5. Support vector machine example II - iris dataset.mp4 22.7 MB
04. Logistic Regression/4. Logistic regression example II- credit scoring.mp4 22.4 MB
14. Computer Vision - Face Detection/2. Viola-Jones algorithm.mp4 22.0 MB
07. Support Vector Machine (SVM)/1. Support vector machine introduction I - linear case.mp4 21.8 MB
12. Neural Networks/17. Gradient calculation I - output layer.mp4 21.3 MB
18. Recurrent Neural Networks/4. Vanishing and exploding gradients problem.mp4 20.6 MB
12. Neural Networks/13. Simplified feedforward network.mp4 20.4 MB
08. Decision Trees/2. Decision trees introduction - entropy.mp4 20.2 MB
12. Neural Networks/2. Axons and neurons in the human brain.mp4 20.2 MB
11. Clustering/6. K-means clustering - text clustering.mp4 19.8 MB

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