UDEMY Machine Learning and Data Science A-Z Hands-on Python (2022) BOOKWARE-iLEARN

Files Included :

1 Course Content.mp4 (17.07 MB)
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10 NumPy2.mp4 (56.91 MB)
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11 NumPy3.mp4 (84.52 MB)
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12 NumPy4.mp4 (56.56 MB)
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13 NumPy5.mp4 (152.64 MB)
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14 NumPy6.mp4 (134.5 MB)
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15 Pandas1.mp4 (95.61 MB)
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16 Pandas2.mp4 (116.94 MB)
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17 Pandas3.mp4 (117.83 MB)
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18 Pandas4.mp4 (203.04 MB)
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19 Visualization with Matplotlib1.mp4 (99.45 MB)
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2 What is Machine Learning Some Basic Terms.mp4 (25.82 MB)
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20 Visualization with Matplotlib2.mp4 (205.24 MB)
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21 Visualization with Matplotlib3.mp4 (188.84 MB)
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22 Visualization with Matplotlib4.mp4 (142.99 MB)
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23 Visualization with Matplotlib5.mp4 (129.25 MB)
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24 Reading and Modifying a Dataset.mp4 (154.55 MB)
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25 Statistics1.mp4 (34.04 MB)
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26 Statistics2.mp4 (207.49 MB)
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27 Statistics3 - Covariance.mp4 (107.48 MB)
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28 Missing Values1.mp4 (129.64 MB)
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29 Missing Values2.mp4 (219.38 MB)
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30 Outlier Detection1.mp4 (73.2 MB)
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31 Outlier Detection2.mp4 (130.66 MB)
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32 Outlier Detection3.mp4 (31.01 MB)
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33 Concatenation.mp4 (65.88 MB)
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34 Dummy Variable.mp4 (57.59 MB)
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35 Normalization.mp4 (186.87 MB)
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36 Learning Types.mp4 (45.44 MB)
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37 Supervised Learning Models - Introduction and Understanding the Data.mp4 (233.75 MB)
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38 k-NN Concepts.mp4 (48.03 MB)
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39 k-NN Model Development.mp4 (140.65 MB)
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4 Python IDE.mp4 (7.51 MB)
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40 k-NN Training-Set and Test-Set Creation.mp4 (228.42 MB)
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41 Decision Tree Concepts.mp4 (25.62 MB)
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42 Decision Tree Model Development.mp4 (66.84 MB)
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43 Decision Tree - Cross Validation.mp4 (54.64 MB)
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44 Naive Bayes Concepts.mp4 (59.23 MB)
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45 Naive Bayes Model Development.mp4 (58.95 MB)
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46 Logistic Regression Concepts.mp4 (10.85 MB)
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47 Logistic Regression Model Development.mp4 (112.12 MB)
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48 Model Evaluation Concepts.mp4 (83.47 MB)
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49 Model Evaluation - Calculating with Python.mp4 (174.04 MB)
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5 IDE Installation.mp4 (22.28 MB)
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50 Simple and Multiple Linear Regression Concepts.mp4 (212.19 MB)
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51 Multiple Linear Regression - Model Development.mp4 (75.59 MB)
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52 Evaluation Metrics - Concepts.mp4 (49.47 MB)
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53 Evaluation Metrics - Implementation.mp4 (159.9 MB)
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54 Polynomial Linear Regression Concepts.mp4 (26.39 MB)
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55 Polynomial Linear Regression Model Development.mp4 (219.12 MB)
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56 Random Forest Concepts.mp4 (30.23 MB)
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57 Random Forest Model Development.mp4 (246.24 MB)
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58 Support Vector Regression Concepts.mp4 (26.97 MB)
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59 Support Vector Regression Model Development.mp4 (121.01 MB)
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6 Installation of Required Libraries.mp4 (70.78 MB)
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60 Introduction.mp4 (38.11 MB)
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61 K-means Concepts1.mp4 (44.53 MB)
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62 K-means Concepts2.mp4 (21.28 MB)
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63 K-means Model Development1.mp4 (35.98 MB)
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64 K-means Model Development2.mp4 (103.83 MB)
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65 K-means - Model Evaluation.mp4 (102.4 MB)
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66 DBSCAN Concepts.mp4 (26.85 MB)
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67 DBSCAN Model Development.mp4 (86.87 MB)
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68 Hierarchical Clustering Concepts.mp4 (24.29 MB)
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69 Hierarchical Clustering Model Development.mp4 (145.89 MB)
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7 Spyder Interface.mp4 (46.36 MB)
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70 Introduction.mp4 (17.02 MB)
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71 Support Vector Regression - Model Tuning.mp4 (125.61 MB)
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72 K-Means - Model Tuning.mp4 (15.3 MB)
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73 k-NN - Model Tuning.mp4 (133.64 MB)
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74 Overfitting and Underfitting.mp4 (72.09 MB)
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9 NumPy1.mp4 (37.49 MB)
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