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Название Data Science Create Real World Projects
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[TGx]Downloaded from torrentgalaxy.to .txt 585б
0 146б
1 1.68Кб
10 105.56Кб
10 - Why to clean the data.mp4 20.02Мб
10 - Why to clean the data English.vtt 3.52Кб
11 55.27Кб
11 - Data Quality.mp4 51.45Мб
11 - Data Quality English.vtt 9.17Кб
12 484.95Кб
12 - Check if data is valid or not.mp4 51.91Мб
12 - Check if data is valid or not English.vtt 13.52Кб
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13 - Check if data is accurate or not.mp4 10.82Мб
13 - Check if data is accurate or not English.vtt 3.29Кб
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14 - Completeness of the data.mp4 11.25Мб
14 - Completeness of the data English.vtt 3.09Кб
15 734.80Кб
15 - Consistency of the data.mp4 13.46Мб
15 - Consistency of the data English.vtt 4.06Кб
16 54.48Кб
16 - Uniformity of the data.mp4 25.23Мб
16 - Uniformity of the data English.vtt 6.67Кб
17 901.80Кб
17 - How to ensure data quality.mp4 26.60Мб
17 - How to ensure data quality English.vtt 5.96Кб
18 925.90Кб
18 - Inspect the data.mp4 11.22Мб
18 - Inspect the data English.vtt 2.41Кб
19 745.37Кб
19 - Cleaning the data.mp4 67.48Мб
19 - Cleaning the data English.vtt 14.25Кб
1 - Introduction.mp4 18.65Мб
2 235б
20 672.32Кб
20 - Goal of data munging.mp4 77.49Мб
20 - Goal of data munging English.vtt 7.88Кб
21 826.69Кб
21 - Understand your data.mp4 60.89Мб
21 - Understand your data English.vtt 8.51Кб
22 890.97Кб
22 - Introduction to Outliers.mp4 45.10Мб
22 - Introduction to Outliers English.vtt 8.58Кб
23 774.55Кб
23 - Finalize Data Munging.mp4 88.46Мб
23 - Finalize Data Munging English.vtt 12.98Кб
24 853.80Кб
24 - Handle data type mismatch.mp4 242.79Мб
24 - Handle data type mismatch English.vtt 27.27Кб
24 - pandas-data-type-mismatch.ipynb 44.75Кб
25 1007.77Кб
25 - pandas-duplicate-data.ipynb 22.23Кб
25 - Remove Duplicate data.mp4 89.94Мб
25 - Remove Duplicate data English.vtt 12.34Кб
26 100.97Кб
26 - Handling missing data.mp4 95.51Мб
26 - Handling missing data English.vtt 11.92Кб
26 - pandas-missing-data.ipynb 22.42Кб
27 200.49Кб
27 - Feature Importance.mp4 146.29Мб
27 - Feature Importance English.vtt 15.45Кб
27 - Sklearn-Feature-Importance.ipynb 113.25Кб
28 655.87Кб
28 - Plot feature importance plot.mp4 60.61Мб
28 - Plot feature importance plot English.vtt 6.45Кб
28 - Sklearn-Feature-Importance.ipynb 113.25Кб
29 696.55Кб
29 - Introduction to Feature Importance.mp4 55.69Мб
29 - Introduction to Feature Importance English.vtt 10.70Кб
2 - Install anaconda on your machine.mp4 69.05Мб
2 - Install anaconda on your machine English.vtt 12.33Кб
3 126б
30 897.92Кб
30 - Data Normalization.mp4 23.02Мб
30 - Data Normalization English.vtt 4.21Кб
30 - min-max-scaler.ipynb 48.52Кб
31 652.19Кб
31 - Data Standardization.mp4 48.30Мб
31 - Data Standardization English.vtt 10.76Кб
32 888.13Кб
32 - min-max-scaler.ipynb 48.52Кб
32 - Normalization in practice.mp4 125.17Мб
32 - Normalization in practice English.vtt 12.09Кб
33 617.45Кб
33 - Standardization in practice.mp4 138.10Мб
33 - Standardization in practice English.vtt 16.31Кб
33 - standard-scaler.ipynb 38.13Кб
34 272.53Кб
34 - Introduction to One Hot Encoding.mp4 55.78Мб
34 - Introduction to One Hot Encoding English.vtt 12.46Кб
34 - one-hot-encoding.ipynb 16.16Кб
35 990.48Кб
35 - one-hot-encoding.ipynb 16.16Кб
35 - One Hot Encoding in practice.mp4 116.90Мб
35 - One Hot Encoding in practice English.vtt 15.16Кб
36 458.31Кб
36 - Types of data in Machine Learning.mp4 31.59Мб
36 - Types of data in Machine Learning English.vtt 10.68Кб
37 120.51Кб
37 - Structured format for datasets.mp4 69.64Мб
37 - Structured format for datasets English.vtt 9.95Кб
38 500.02Кб
38 - Introduction to pandas library.mp4 164.11Мб
38 - Introduction to pandas library English.vtt 32.60Кб
39 798.21Кб
39 - Train Test split Concept.mp4 89.46Мб
39 - Train Test split Concept English.vtt 18.90Кб
3 - Set up environment and Download Machine Learning Libraries.mp4 80.51Мб
3 - Set up environment and Download Machine Learning Libraries English.vtt 16.72Кб
4 68.05Кб
40 817.53Кб
40 - Decision Tree part 1.mp4 140.12Мб
40 - Decision Tree part 1 English.vtt 37.18Кб
41 63.57Кб
41 - Decision Tree part 2.mp4 116.80Мб
41 - Decision Tree part 2 English.vtt 30.61Кб
42 549.31Кб
42 - Code Decision Tree classifier.mp4 235.47Мб
42 - Code Decision Tree classifier English.vtt 34.66Кб
42 - Decision-Tree-Classifier.ipynb 28.61Кб
43 550.45Кб
43 - Decision-Tree-Classifier.ipynb 28.61Кб
43 - Decision Tree GINI index.mp4 95.20Мб
43 - Decision Tree GINI index English.vtt 12.78Кб
44 890.01Кб
44 - Introduction to Linear Regression.mp4 156.37Мб
44 - Introduction to Linear Regression English.vtt 18.50Кб
45 32.36Кб
45 - Learn about OLS [Ordinary Least Squares] algorithm.mp4 246.81Мб
45 - Learn about OLS [Ordinary Least Squares] algorithm English.vtt 34.06Кб
46 509.32Кб
46 - Introduction to working of Linear Regression.mp4 194.56Мб
46 - Introduction to working of Linear Regression English.vtt 40.63Кб
47 501.46Кб
47 - Lecture Introduction to MSE, MAE, RMSE.mp4 56.96Мб
47 - Lecture Introduction to MSE, MAE, RMSE English.vtt 14.76Кб
48 831.43Кб
48 - Introduction to R squared.mp4 49.43Мб
48 - Introduction to R squared English.vtt 12.83Кб
49 519.41Кб
49 - Implement Simple Linear Regression.mp4 168.93Мб
49 - Implement Simple Linear Regression English.vtt 28.73Кб
49 - linear-regression-guide.zip 86.69Кб
4 - Introduction to Jupyter Notebook.mp4 111.36Мб
4 - Introduction to Jupyter Notebook English.vtt 27.03Кб
5 227.13Кб
50 371.31Кб
50 - Learn about Logistic Regression.mp4 38.33Мб
50 - Learn about Logistic Regression English.vtt 7.33Кб
51 730.71Кб
51 - Learn about Gradient Descent.mp4 45.32Мб
51 - Learn about Gradient Descent English.vtt 7.46Кб
52 967.77Кб
52 - Implement Logistic Regression part 1.mp4 145.28Мб
52 - Implement Logistic Regression part 1 English.vtt 25.33Кб
52 - logistic.zip 143.29Кб
53 765.60Кб
53 - Implement Logistic Regression part 2.mp4 200.69Мб
53 - Implement Logistic Regression part 2 English.vtt 38.79Кб
53 - logistic.zip 143.29Кб
54 531.57Кб
54 - Introduction to data and data dictionary.mp4 31.23Мб
54 - Introduction to data and data dictionary English.vtt 2.85Кб
54 - Project-1.zip 2.26Мб
55 102.01Кб
55 - Project-1.zip 2.26Мб
55 - Setup project and import libraries.mp4 14.45Мб
55 - Setup project and import libraries English.vtt 3.21Кб
56 569.96Кб
56 - Import data to the project.mp4 17.56Мб
56 - Import data to the project English.vtt 2.55Кб
57 115.86Кб
57 - Clean NA values.mp4 98.55Мб
57 - Clean NA values English.vtt 10.59Кб
58 401.35Кб
58 - Clean your data.mp4 116.32Мб
58 - Clean your data English.vtt 14.54Кб
59 39.36Кб
59 - Analysis 1 Where do the guest come from.mp4 95.22Мб
59 - Analysis 1 Where do the guest come from English.vtt 14.15Кб
5 - Data Science Methodologies.mp4 51.21Мб
5 - Data Science Methodologies English.vtt 9.29Кб
6 313.58Кб
60 221.01Кб
60 - Analysis 2 How much do guests pay for room per night.mp4 112.12Мб
60 - Analysis 2 How much do guests pay for room per night English.vtt 14.77Кб
61 318.01Кб
61 - Analysis 3 How does the price vary.mp4 134.34Мб
61 - Analysis 3 How does the price vary English.vtt 18.97Кб
62 510.81Кб
62 - Sorting.mp4 97.88Мб
62 - Sorting English.vtt 14.86Кб
63 95.44Кб
63 - Analysis 4 Which months are busy months.mp4 108.13Мб
63 - Analysis 4 Which months are busy months English.vtt 15.88Кб
64 564.93Кб
64 - Analysis 5 How long do people stay at the hotels.mp4 132.19Мб
64 - Analysis 5 How long do people stay at the hotels English.vtt 19.37Кб
65 805.00Кб
65 - Feature selection using coorelation.mp4 127.24Мб
65 - Feature selection using coorelation English.vtt 16.01Кб
66 586.20Кб
66 - Refine Numerical attributes.mp4 68.25Мб
66 - Refine Numerical attributes English.vtt 8.67Кб
67 721.80Кб
67 - Refine Categorical attributes.mp4 99.03Мб
67 - Refine Categorical attributes English.vtt 10.82Кб
68 691.64Кб
68 - Augment the data.mp4 63.90Мб
68 - Augment the data English.vtt 8.86Кб
69 917.75Кб
69 - Mean Encoding for Categorical attributes.mp4 206.78Мб
69 - Mean Encoding for Categorical attributes English.vtt 26.37Кб
6 - CRISP-DM model.mp4 42.86Мб
6 - CRISP English.vtt 6.90Кб
7 447.29Кб
70 725.48Кб
70 - Preparing our data.mp4 102.73Мб
70 - Preparing our data English.vtt 16.09Кб
71 145.13Кб
71 - Feature Importance.mp4 137.27Мб
71 - Feature Importance English.vtt 16.43Кб
72 281.66Кб
72 - Splitting data and Building models.mp4 187.62Мб
72 - Splitting data and Building models English.vtt 26.99Кб
73 685.32Кб
73 - Loading the data to the project.mp4 117.02Мб
73 - Loading the data to the project English.vtt 12.84Кб
73 - Project-2.zip 853.81Кб
74 169.79Кб
74 - Introduction to Corpus and Term Document Matrix.mp4 44.29Мб
74 - Introduction to Corpus and Term Document Matrix English.vtt 7.73Кб
74 - Project-2.zip 853.81Кб
75 926.83Кб
75 - Storing data into the data frame.mp4 78.19Мб
75 - Storing data into the data frame English.vtt 8.50Кб
76 415.90Кб
76 - Cleaning the data.mp4 245.43Мб
77 786.42Кб
77 - Creating Document Term Matrix English.vtt 8.92Кб
78 411.28Кб
78 - Analyzing most commonly spoken words.mp4 141.95Мб
78 - Analyzing most commonly spoken words English.vtt 15.08Кб
79 425.32Кб
79 - Creating wordcloud.mp4 207.30Мб
79 - Creating wordcloud English.vtt 22.98Кб
7 - Phases of CRISP-DM.mp4 26.58Мб
7 - Phases of CRISP English.vtt 4.36Кб
8 391.65Кб
80 791.59Кб
80 - Profanity.mp4 81.50Мб
80 - Profanity English.vtt 12.76Кб
81 869.32Кб
81 - Sentimental Analysis.mp4 37.83Мб
81 - Sentimental Analysis English.vtt 5.95Кб
82 1002.40Кб
82 - Sentiment Label.mp4 69.29Мб
82 - Sentiment Label English.vtt 8.10Кб
83 1005.21Кб
83 - Plotting Polarity and Subjectivity.mp4 53.50Мб
83 - Plotting Polarity and Subjectivity English.vtt 8.25Кб
84 356.17Кб
84 - Topic Modeling.mp4 128.13Мб
84 - Topic Modeling English.vtt 14.46Кб
85 455.34Кб
85 - Topic Modeling Part Of Speech Tagging.mp4 104.40Мб
85 - Topic Modeling Part Of Speech Tagging English.vtt 12.69Кб
86 567.41Кб
86 - Text Generation.mp4 36.09Мб
86 - Text Generation English.vtt 6.00Кб
87 562.72Кб
87 - Text Generation Part 2.mp4 86.13Мб
88 555.11Кб
88 - Introduction to Neural Networks.mp4 24.15Мб
88 - Introduction to Neural Networks English.vtt 3.22Кб
89 771.30Кб
89 - Neuron.mp4 116.36Мб
89 - Neuron English.vtt 29.36Кб
8 - Phases of CRISP-DM part 2.mp4 17.45Мб
8 - Phases of CRISP English.vtt 3.33Кб
9 75.58Кб
90 798.67Кб
90 - Learn to create MLP model.mp4 156.53Мб
90 - Learn to create MLP model English.vtt 20.10Кб
91 187.67Кб
91 - Multi English.vtt 24.43Кб
91 - Multi-Layer Perception Algorithm part 2.mp4 166.06Мб
92 753.19Кб
92 - Multi English.vtt 8.79Кб
92 - Multi-Layer Perception Algorithm part 3.mp4 61.44Мб
93 - Multi English.vtt 13.29Кб
93 - Multi-Layer Perception Algorithm part 4.mp4 85.97Мб
9 - Phases of CRISP-DM part 3.mp4 39.72Мб
9 - Phases of CRISP English.vtt 7.57Кб
TutsNode.com.txt 63б
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