Data Analysis and Machine Learning Python GPT 35 GPT 4

Files Included :

2 - Setting up ChatGPT and GPT 4.mp4 (6.87 MB)
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40 - Linear regression ML model.mp4 (127.65 MB)
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41 - Decision Tree regression ML model.mp4 (36.84 MB)
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42 - Random Forest regression ML model.mp4 (59.77 MB)
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43 - Support Vector regression ML model.mp4 (46.77 MB)
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44 - Logistic Regression ML model.mp4 (194.78 MB)
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45 - Decision Tree classification ML model.mp4 (105.95 MB)
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46 - Random Forest classification ML model.mp4 (75.94 MB)
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47 - K Nearest Neighbours classification ML model.mp4 (151.16 MB)
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48 - KMeans Clustering ML model.mp4 (169.79 MB)
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49 - Getting Started with GPT4 Data Analyst.mp4 (6.76 MB)
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50 - Identify missing values.mp4 (14.67 MB)
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51 - Impute missing values.mp4 (25.03 MB)
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52 - Exploring data types.mp4 (12.81 MB)
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53 - Finding inconsistent values.mp4 (10.48 MB)
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54 - Dropping inconsistent values.mp4 (16.78 MB)
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55 - Dealing with duplicates.mp4 (76.77 MB)
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56 - Sorting dataset.mp4 (21.49 MB)
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57 - Filtering datasets.mp4 (20.4 MB)
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58 - Inner joining method.mp4 (28.08 MB)
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59 - Other joining methods.mp4 (21.99 MB)
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60 - Boxcox transformation.mp4 (32.87 MB)
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61 - Feature binning.mp4 (15.25 MB)
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62 - Feature encoding.mp4 (15.52 MB)
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63 - Creating dummy variables.mp4 (15.07 MB)
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64 - Nominal data analysis.mp4 (17.46 MB)
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65 - Descriptive analysis.mp4 (56.78 MB)
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66 - Group by data analysis.mp4 (12.66 MB)
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67 - Crosstabulation analysis.mp4 (75.92 MB)
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68 - Correlation analysis.mp4 (45.44 MB)
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69 - Oneway ANOVA analysis.mp4 (85.77 MB)
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70 - Pearson correlation analysis.mp4 (18.49 MB)
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71 - Regression analysis.mp4 (74.6 MB)
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72 - Feature scaling and preprocessing.mp4 (49.03 MB)
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73 - Splitting data into train and test sets.mp4 (26.85 MB)
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74 - Build and evaluate ML models.mp4 (50.27 MB)
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4 - Data Analysis and Its Characteristics.mp4 (46.73 MB)
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5 - Complete data analysis workflow.mp4 (6.32 MB)
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6 - Statistical Analysis and Its Characteristics.mp4 (19.74 MB)
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7 - Confidence level significance level and Pvalue.mp4 (20.67 MB)
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8 - Complete hypothesis testing workflow.mp4 (19.16 MB)
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10 - Complete Machine Learning Workflow.mp4 (5.87 MB)
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9 - Machine Learning and Its Characteristics.mp4 (6.64 MB)
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11 - Your First Python Code.mp4 (11.28 MB)
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12 - Variables and naming conventions.mp4 (28.77 MB)
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13 - Data types integers float strings boolean.mp4 (29.8 MB)
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14 - Type conversion and casting.mp4 (36.46 MB)
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15 - Arithmetic operators.mp4 (32.25 MB)
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16 - Comparison operators.mp4 (37.01 MB)
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17 - Logical operators and or not.mp4 (39.91 MB)
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18 - Lists creation indexing slicing modifying.mp4 (83.55 MB)
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19 - Sets unique elements operations.mp4 (28.88 MB)
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20 - Dictionaries keyvalue pairs methods.mp4 (45.17 MB)
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21 - Conditional statements if elif else.mp4 (19.89 MB)
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22 - Logical expressions in conditions.mp4 (47.44 MB)
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23 - Looping structures for loops while loops.mp4 (33.97 MB)
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24 - Defining Creating and Calling functions.mp4 (16.38 MB)
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25 - Loading dataset.mp4 (43.54 MB)
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26 - Handling missing values.mp4 (106.67 MB)
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27 - Deal with inconsistent data.mp4 (69.52 MB)
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28 - Dealing with missidentified data types.mp4 (45.22 MB)
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29 - Dealing with duplicated data.mp4 (23.75 MB)
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30 - Sorting and arranging dataset.mp4 (27.1 MB)
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31 - Filter data based on conditions.mp4 (40.94 MB)
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32 - Merging or adding variables.mp4 (47.84 MB)
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33 - Concatenating extra data.mp4 (49.49 MB)
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34 - Feature engineering.mp4 (116.61 MB)
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35 - Extracting day months year.mp4 (42 MB)
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36 - Feature encoding.mp4 (38.85 MB)
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37 - Creating dummy variables.mp4 (53.34 MB)
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38 - Data normalizing.mp4 (120.28 MB)
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39 - Splitting data.mp4 (52.22 MB)
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