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【影视】 [DesireCourse.Net] Udemy - Practical Machine Learning by Example in Python

收录时间:2021-03-14 文档个数:316 文档大小:2.9 GB 最近下载:2025-04-05 人气:823 磁力链接

4. Foundations NumPy/6. Linear Regression Example.mp4 67.8 MB
2. Python Quick Start/12. Classes.mp4 65.5 MB
7. Foundations Pandas/2. Loading and inspecting data example.mp4 61.9 MB
3. Example Logistic Regression/3. Data analysis.mp4 61.8 MB
9. Example Sentiment Analysis/11. Transfer Learning Example.mp4 60.6 MB
6. Example Image recognition/14. Hyperparameter tuning example.mp4 55.0 MB
2. Python Quick Start/3. String formatting.mp4 54.9 MB
4. Foundations NumPy/5. Introduction to Linear Regression.mp4 54.8 MB
6. Example Image recognition/8. Model training.mp4 52.7 MB
10. Example Fraud detection/9. Making predictions.mp4 51.8 MB
3. Example Logistic Regression/8. Gradient descent.mp4 48.5 MB
9. Example Sentiment Analysis/5. Data Preparation.mp4 46.5 MB
8. Example Recommendations/8. Model definition.mp4 44.3 MB
10. Example Fraud detection/2. Data analysis.mp4 43.8 MB
3. Example Logistic Regression/12. Making predictions.mp4 42.3 MB
7. Foundations Pandas/5. Sorting and transforming data example.mp4 41.8 MB
9. Example Sentiment Analysis/12. Fine Tuning and Prediction.mp4 41.5 MB
6. Example Image recognition/2. Data analysis.mp4 40.2 MB
3. Example Logistic Regression/6. The forward function.mp4 39.7 MB
8. Example Recommendations/5. Data preparation.mp4 37.9 MB

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【影视】 [FreeCourseSite.com] Udemy - Complete 2020 Data Science & Machine Learning Bootcamp

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4. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
4. 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
5. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
4. 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
3. 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
4. Introduction to Optimisation and the Gradient Descent Algorithm/9. [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
5. 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
8. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 215.3 MB
8. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
4. 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
12. Serving a Tensorflow Model through a Website/7. Loading a Tensorflow.js Model and Starting your own Server.mp4 197.2 MB
12. Serving a Tensorflow Model through a Website/9. Styling an HTML Canvas.mp4 196.5 MB
12. Serving a Tensorflow Model through a Website/16. Adding the Game Logic.mp4 181.2 MB
12. Serving a Tensorflow Model through a Website/10. Drawing on an HTML Canvas.mp4 180.3 MB

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【影视】 [DesireCourse.Net] Udemy - Machine Learning Basics Classification models in Python

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2. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.8 MB
5. Data Preprocessing/7. EDD in Python.mp4 101.8 MB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 91.9 MB
6. Classification Models/21. K-Nearest Neighbors classifier.mp4 87.6 MB
3. Basics of Statistics/3. Describing data Graphically.mp4 86.2 MB
4. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 84.5 MB
4. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4 77.2 MB
4. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 76.6 MB
6. Classification Models/11. Making Confusion Matrix in Python.mp4 67.9 MB
6. Classification Models/4. Training a Simple Logistic Model in Python.mp4 64.2 MB
5. Data Preprocessing/10. Outlier treatment in Python.mp4 61.3 MB
4. Setting up Python and Jupyter Notebook/8. Working with Pandas Library of Python.mp4 59.1 MB
4. Setting up Python and Jupyter Notebook/7. Working with Numpy Library of Python.mp4 56.7 MB
6. Classification Models/23. K-Nearest Neighbors in Python Part 2.mp4 54.5 MB
4. Setting up Python and Jupyter Notebook/3. Introduction to Jupyter.mp4 53.8 MB
4. Setting up Python and Jupyter Notebook/9. Working with Seaborn Library of Python.mp4 51.2 MB
6. Classification Models/15. Linear Discriminant Analysis.mp4 51.0 MB
6. Classification Models/25. Understanding the results of classification models.mp4 48.2 MB
6. Classification Models/22. K-Nearest Neighbors in Python Part 1.mp4 48.1 MB
6. Classification Models/18. Test-Train Split.mp4 47.9 MB

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【影视】 [DesireCourse.Net] Udemy - Python for Data Science and Machine Learning Bootcamp

收录时间:2021-03-14 文档个数:303 文档大小:4.1 GB 最近下载:2025-05-15 人气:825 磁力链接

26. Neural Nets and Deep Learning/8. Tensorflow Estimators.mp4 164.3 MB
26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.mp4 99.2 MB
26. Neural Nets and Deep Learning/7. MNIST - Part Two.mp4 98.7 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/1. TensorFlow Installation.mp4 72.6 MB
25. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
26. Neural Nets and Deep Learning/6. MNIST - Part One.mp4 61.2 MB
25. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 58.4 MB
18. K Nearest Neighbors/4. KNN Project Solutions.mp4 55.2 MB
1. Course Introduction/3.1 Py_DS_ML_Bootcamp-master.zip.zip 55.0 MB
2. Environment Set-Up/1.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
3. Jupyter Overview/2.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp4 53.9 MB
11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp4 53.6 MB
13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp4 52.2 MB
24. Natural Language Processing/6. NLP Project Solutions.mp4 50.4 MB
20. Support Vector Machines/2. Support Vector Machines with Python.mp4 49.8 MB
13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp4 49.6 MB
21. K Means Clustering/4. K Means Project Solutions.mp4 49.4 MB

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【影视】 [CourseClub.ME] A Cloud Guru - AWS Certified Machine Learning - Specialty 2020

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07 Algorithms/014 Algorithms Lab.mp4 205.5 MB
08 Evaluation and Optimization/007 Evaluation and Optimization Lab.mp4 172.3 MB
09 Implementation and Operations/009 Implementation and Operations Lab.mp4 172.1 MB
05 Data Analysis and Visualization/009 Data Analysis and Visualization Lab.mp4 157.2 MB
06 Modeling/007 Modeling Lab.mp4 151.0 MB
03 Streaming Data Collection/008 Streaming Data Collection Lab.mp4 131.6 MB
04 Data Preparation/011 Data Preparation Lab.mp4 109.0 MB
04 Data Preparation/004 Text Feature Engineering.mp4 61.4 MB
02 Data Collection/004 Machine Learning Data Terminology.mp4 60.0 MB
04 Data Preparation/009 Helper Tools.mp4 56.0 MB
08 Evaluation and Optimization/004 Evaluating Model Accuracy.mp4 53.4 MB
07 Algorithms/002 OPTIONAL - Why do we call them Algorithms.mp4 52.1 MB
06 Modeling/004 SageMaker Modeling.mp4 51.2 MB
07 Algorithms/003 Concepts.mp4 49.6 MB
07 Algorithms/004 Regression.mp4 48.8 MB
03 Streaming Data Collection/003 Kinesis Data Streams.mp4 47.8 MB
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09 Implementation and Operations/006 Security.mp4 45.0 MB
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