Udemy - LEARNING PATH Python Advanced Machine Learning with Python

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Download Free Download : Udemy - LEARNING PATH Python Advanced Machine Learning with Python
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:825.26 MB

Files Included :
1 - The Course Overview.mp4 (8.95 MB)
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10 - Clustering.mp4 (4.94 MB)
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11 - Topic Modeling.mp4 (6.06 MB)
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12 - Getting Started with Classification.mp4 (8.01 MB)
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13 - Exploring NaAve Bayes.mp4 (3.19 MB)
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14 - The Mechanics of NaAve Bayes.mp4 (7.58 MB)
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15 - The NaAve Bayes Implementation.mp4 (21.9 MB)
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16 - Classifier Performance Evaluation.mp4 (18.46 MB)
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17 - Model Tuning and crossvalidation.mp4 (10.29 MB)
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18 - Recap and Inverse Document Frequency.mp4 (7.95 MB)
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19 - The Mechanics of SVM.mp4 (9.18 MB)
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2 - Introduction to Machine Learning.mp4 (11.22 MB)
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20 - The Implementations of SVM.mp4 (7 MB)
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21 - The Kernels of SVM.mp4 (6.11 MB)
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22 - Choosing Between the Linear and the RBF Kernel.mp4 (5.91 MB)
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23 - News topic Classification with Support Vector Machine.mp4 (19.94 MB)
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24 - Fetal State Classification with SVM.mp4 (13.83 MB)
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25 - Brief Overview of Advertising ClickThrough Prediction.mp4 (5.86 MB)
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26 - Decision Tree Classifier.mp4 (23.2 MB)
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27 - The Implementations of Decision Tree.mp4 (10.21 MB)
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28 - ClickThrough Prediction with Decision Tree.mp4 (15.75 MB)
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29 - Random Forest Feature Bagging of Decision Tree.mp4 (6.5 MB)
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3 - Installing Software and Setting Up.mp4 (10.64 MB)
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30 - OneHot Encoding Converting Categorical Features to Numerical.mp4 (7.37 MB)
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31 - Logistic Regression Classifier.mp4 (14.3 MB)
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32 - ClickThrough Prediction with Logistic Regression by Gradient Descent.mp4 (41.5 MB)
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33 - Feature Selection via Random Forest.mp4 (5.44 MB)
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34 - Brief Overview of the Stock Market And Stock Price.mp4 (4.64 MB)
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35 - Predicting Stock Price with Regression Algorithms.mp4 (9.44 MB)
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36 - Data Acquisition and Feature Generation.mp4 (7.5 MB)
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37 - Linear Regression.mp4 (15.9 MB)
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38 - Decision Tree Regression.mp4 (10.2 MB)
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39 - Support Vector Regression.mp4 (3.64 MB)
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4 - Understanding NLP.mp4 (7.03 MB)
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40 - Regression Performance Evaluation.mp4 (4.28 MB)
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41 - Stock Price Prediction with Regression Algorithms.mp4 (11.54 MB)
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42 - Best Practices in Data Preparation Stage.mp4 (12.82 MB)
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43 - Best Practices in the Training Sets Generation Stage.mp4 (14.64 MB)
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44 - Best Practices in the Model Training Evaluation and Selection Stage.mp4 (4.79 MB)
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45 - Best Practices in the Deployment and Monitoring Stage.mp4 (6.12 MB)
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5 - Touring Powerful NLP Libraries in Python.mp4 (14.83 MB)
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6 - Getting the Newsgroups Data.mp4 (7.97 MB)
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7 - Thinking about Features.mp4 (10.05 MB)
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8 - Visualization.mp4 (4.67 MB)
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9 - Data Preprocessing.mp4 (3.48 MB)
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46 - The Course Overview.mp4 (5.35 MB)
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47 - Sourcing Airfare Pricing Data.mp4 (6.4 MB)
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48 - Retrieving the Fare Data with Advanced Web Scraping Techniques.mp4 (8.33 MB)
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49 - Parsing the DOM to Extract Pricing Data.mp4 (29.27 MB)
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50 - Sending RealTime Alerts Using IFTTT.mp4 (5.57 MB)
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51 - Putting It All Together.mp4 (6.88 MB)
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52 - The IPO Market.mp4 (30.77 MB)
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53 - Feature Engineering.mp4 (25.93 MB)
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54 - Binary Classification.mp4 (10.32 MB)
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55 - Feature Importance.mp4 (7.55 MB)
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56 - Creating a Supervised Training Set with the Pocket App.mp4 (31.01 MB)
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57 - Using the embedly API to Download Story Bodies.mp4 (6.82 MB)
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58 - Natural Language Processing Basics.mp4 (9.09 MB)
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59 - Support Vector Machines.mp4 (4.76 MB)
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60 - IFTTT Integration with Feeds Google Sheets and Email.mp4 (16.8 MB)
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61 - Setting Up Your Daily Personal Newsletter.mp4 (13.04 MB)
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62 - What Does Research Tell Us about the Stock Market.mp4 (10.26 MB)
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63 - Developing a Trading Strategy.mp4 (28.57 MB)
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64 - Building a Model and Evaluating Its Performance.mp4 (18.59 MB)
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65 - Modeling with Dynamic Time Warping.mp4 (8.76 MB)
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66 - Machine Learning on Images.mp4 (7.06 MB)
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67 - Working with Images.mp4 (7.51 MB)
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68 - Finding Similar Images.mp4 (9.36 MB)
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69 - Building an Image Similarity Engine.mp4 (14.77 MB)
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70 - The Design of Chatbots.mp4 (19.33 MB)
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71 - Building a Chatbot.mp4 (18.21 MB)
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