Torrent Info
Title Data Science Create Real World Projects
Category
Size 8.31GB

Files List
Please note that this page does not hosts or makes available any of the listed filenames. You cannot download any of those files from here.
[TGx]Downloaded from torrentgalaxy.to .txt 585B
0 146B
1 1.68KB
10 105.56KB
10 - Why to clean the data.mp4 20.02MB
10 - Why to clean the data English.vtt 3.52KB
11 55.27KB
11 - Data Quality.mp4 51.45MB
11 - Data Quality English.vtt 9.17KB
12 484.95KB
12 - Check if data is valid or not.mp4 51.91MB
12 - Check if data is valid or not English.vtt 13.52KB
13 646.37KB
13 - Check if data is accurate or not.mp4 10.82MB
13 - Check if data is accurate or not English.vtt 3.29KB
14 731.01KB
14 - Completeness of the data.mp4 11.25MB
14 - Completeness of the data English.vtt 3.09KB
15 734.80KB
15 - Consistency of the data.mp4 13.46MB
15 - Consistency of the data English.vtt 4.06KB
16 54.48KB
16 - Uniformity of the data.mp4 25.23MB
16 - Uniformity of the data English.vtt 6.67KB
17 901.80KB
17 - How to ensure data quality.mp4 26.60MB
17 - How to ensure data quality English.vtt 5.96KB
18 925.90KB
18 - Inspect the data.mp4 11.22MB
18 - Inspect the data English.vtt 2.41KB
19 745.37KB
19 - Cleaning the data.mp4 67.48MB
19 - Cleaning the data English.vtt 14.25KB
1 - Introduction.mp4 18.65MB
2 235B
20 672.32KB
20 - Goal of data munging.mp4 77.49MB
20 - Goal of data munging English.vtt 7.88KB
21 826.69KB
21 - Understand your data.mp4 60.89MB
21 - Understand your data English.vtt 8.51KB
22 890.97KB
22 - Introduction to Outliers.mp4 45.10MB
22 - Introduction to Outliers English.vtt 8.58KB
23 774.55KB
23 - Finalize Data Munging.mp4 88.46MB
23 - Finalize Data Munging English.vtt 12.98KB
24 853.80KB
24 - Handle data type mismatch.mp4 242.79MB
24 - Handle data type mismatch English.vtt 27.27KB
24 - pandas-data-type-mismatch.ipynb 44.75KB
25 1007.77KB
25 - pandas-duplicate-data.ipynb 22.23KB
25 - Remove Duplicate data.mp4 89.94MB
25 - Remove Duplicate data English.vtt 12.34KB
26 100.97KB
26 - Handling missing data.mp4 95.51MB
26 - Handling missing data English.vtt 11.92KB
26 - pandas-missing-data.ipynb 22.42KB
27 200.49KB
27 - Feature Importance.mp4 146.29MB
27 - Feature Importance English.vtt 15.45KB
27 - Sklearn-Feature-Importance.ipynb 113.25KB
28 655.87KB
28 - Plot feature importance plot.mp4 60.61MB
28 - Plot feature importance plot English.vtt 6.45KB
28 - Sklearn-Feature-Importance.ipynb 113.25KB
29 696.55KB
29 - Introduction to Feature Importance.mp4 55.69MB
29 - Introduction to Feature Importance English.vtt 10.70KB
2 - Install anaconda on your machine.mp4 69.05MB
2 - Install anaconda on your machine English.vtt 12.33KB
3 126B
30 897.92KB
30 - Data Normalization.mp4 23.02MB
30 - Data Normalization English.vtt 4.21KB
30 - min-max-scaler.ipynb 48.52KB
31 652.19KB
31 - Data Standardization.mp4 48.30MB
31 - Data Standardization English.vtt 10.76KB
32 888.13KB
32 - min-max-scaler.ipynb 48.52KB
32 - Normalization in practice.mp4 125.17MB
32 - Normalization in practice English.vtt 12.09KB
33 617.45KB
33 - Standardization in practice.mp4 138.10MB
33 - Standardization in practice English.vtt 16.31KB
33 - standard-scaler.ipynb 38.13KB
34 272.53KB
34 - Introduction to One Hot Encoding.mp4 55.78MB
34 - Introduction to One Hot Encoding English.vtt 12.46KB
34 - one-hot-encoding.ipynb 16.16KB
35 990.48KB
35 - one-hot-encoding.ipynb 16.16KB
35 - One Hot Encoding in practice.mp4 116.90MB
35 - One Hot Encoding in practice English.vtt 15.16KB
36 458.31KB
36 - Types of data in Machine Learning.mp4 31.59MB
36 - Types of data in Machine Learning English.vtt 10.68KB
37 120.51KB
37 - Structured format for datasets.mp4 69.64MB
37 - Structured format for datasets English.vtt 9.95KB
38 500.02KB
38 - Introduction to pandas library.mp4 164.11MB
38 - Introduction to pandas library English.vtt 32.60KB
39 798.21KB
39 - Train Test split Concept.mp4 89.46MB
39 - Train Test split Concept English.vtt 18.90KB
3 - Set up environment and Download Machine Learning Libraries.mp4 80.51MB
3 - Set up environment and Download Machine Learning Libraries English.vtt 16.72KB
4 68.05KB
40 817.53KB
40 - Decision Tree part 1.mp4 140.12MB
40 - Decision Tree part 1 English.vtt 37.18KB
41 63.57KB
41 - Decision Tree part 2.mp4 116.80MB
41 - Decision Tree part 2 English.vtt 30.61KB
42 549.31KB
42 - Code Decision Tree classifier.mp4 235.47MB
42 - Code Decision Tree classifier English.vtt 34.66KB
42 - Decision-Tree-Classifier.ipynb 28.61KB
43 550.45KB
43 - Decision-Tree-Classifier.ipynb 28.61KB
43 - Decision Tree GINI index.mp4 95.20MB
43 - Decision Tree GINI index English.vtt 12.78KB
44 890.01KB
44 - Introduction to Linear Regression.mp4 156.37MB
44 - Introduction to Linear Regression English.vtt 18.50KB
45 32.36KB
45 - Learn about OLS [Ordinary Least Squares] algorithm.mp4 246.81MB
45 - Learn about OLS [Ordinary Least Squares] algorithm English.vtt 34.06KB
46 509.32KB
46 - Introduction to working of Linear Regression.mp4 194.56MB
46 - Introduction to working of Linear Regression English.vtt 40.63KB
47 501.46KB
47 - Lecture Introduction to MSE, MAE, RMSE.mp4 56.96MB
47 - Lecture Introduction to MSE, MAE, RMSE English.vtt 14.76KB
48 831.43KB
48 - Introduction to R squared.mp4 49.43MB
48 - Introduction to R squared English.vtt 12.83KB
49 519.41KB
49 - Implement Simple Linear Regression.mp4 168.93MB
49 - Implement Simple Linear Regression English.vtt 28.73KB
49 - linear-regression-guide.zip 86.69KB
4 - Introduction to Jupyter Notebook.mp4 111.36MB
4 - Introduction to Jupyter Notebook English.vtt 27.03KB
5 227.13KB
50 371.31KB
50 - Learn about Logistic Regression.mp4 38.33MB
50 - Learn about Logistic Regression English.vtt 7.33KB
51 730.71KB
51 - Learn about Gradient Descent.mp4 45.32MB
51 - Learn about Gradient Descent English.vtt 7.46KB
52 967.77KB
52 - Implement Logistic Regression part 1.mp4 145.28MB
52 - Implement Logistic Regression part 1 English.vtt 25.33KB
52 - logistic.zip 143.29KB
53 765.60KB
53 - Implement Logistic Regression part 2.mp4 200.69MB
53 - Implement Logistic Regression part 2 English.vtt 38.79KB
53 - logistic.zip 143.29KB
54 531.57KB
54 - Introduction to data and data dictionary.mp4 31.23MB
54 - Introduction to data and data dictionary English.vtt 2.85KB
54 - Project-1.zip 2.26MB
55 102.01KB
55 - Project-1.zip 2.26MB
55 - Setup project and import libraries.mp4 14.45MB
55 - Setup project and import libraries English.vtt 3.21KB
56 569.96KB
56 - Import data to the project.mp4 17.56MB
56 - Import data to the project English.vtt 2.55KB
57 115.86KB
57 - Clean NA values.mp4 98.55MB
57 - Clean NA values English.vtt 10.59KB
58 401.35KB
58 - Clean your data.mp4 116.32MB
58 - Clean your data English.vtt 14.54KB
59 39.36KB
59 - Analysis 1 Where do the guest come from.mp4 95.22MB
59 - Analysis 1 Where do the guest come from English.vtt 14.15KB
5 - Data Science Methodologies.mp4 51.21MB
5 - Data Science Methodologies English.vtt 9.29KB
6 313.58KB
60 221.01KB
60 - Analysis 2 How much do guests pay for room per night.mp4 112.12MB
60 - Analysis 2 How much do guests pay for room per night English.vtt 14.77KB
61 318.01KB
61 - Analysis 3 How does the price vary.mp4 134.34MB
61 - Analysis 3 How does the price vary English.vtt 18.97KB
62 510.81KB
62 - Sorting.mp4 97.88MB
62 - Sorting English.vtt 14.86KB
63 95.44KB
63 - Analysis 4 Which months are busy months.mp4 108.13MB
63 - Analysis 4 Which months are busy months English.vtt 15.88KB
64 564.93KB
64 - Analysis 5 How long do people stay at the hotels.mp4 132.19MB
64 - Analysis 5 How long do people stay at the hotels English.vtt 19.37KB
65 805.00KB
65 - Feature selection using coorelation.mp4 127.24MB
65 - Feature selection using coorelation English.vtt 16.01KB
66 586.20KB
66 - Refine Numerical attributes.mp4 68.25MB
66 - Refine Numerical attributes English.vtt 8.67KB
67 721.80KB
67 - Refine Categorical attributes.mp4 99.03MB
67 - Refine Categorical attributes English.vtt 10.82KB
68 691.64KB
68 - Augment the data.mp4 63.90MB
68 - Augment the data English.vtt 8.86KB
69 917.75KB
69 - Mean Encoding for Categorical attributes.mp4 206.78MB
69 - Mean Encoding for Categorical attributes English.vtt 26.37KB
6 - CRISP-DM model.mp4 42.86MB
6 - CRISP English.vtt 6.90KB
7 447.29KB
70 725.48KB
70 - Preparing our data.mp4 102.73MB
70 - Preparing our data English.vtt 16.09KB
71 145.13KB
71 - Feature Importance.mp4 137.27MB
71 - Feature Importance English.vtt 16.43KB
72 281.66KB
72 - Splitting data and Building models.mp4 187.62MB
72 - Splitting data and Building models English.vtt 26.99KB
73 685.32KB
73 - Loading the data to the project.mp4 117.02MB
73 - Loading the data to the project English.vtt 12.84KB
73 - Project-2.zip 853.81KB
74 169.79KB
74 - Introduction to Corpus and Term Document Matrix.mp4 44.29MB
74 - Introduction to Corpus and Term Document Matrix English.vtt 7.73KB
74 - Project-2.zip 853.81KB
75 926.83KB
75 - Storing data into the data frame.mp4 78.19MB
75 - Storing data into the data frame English.vtt 8.50KB
76 415.90KB
76 - Cleaning the data.mp4 245.43MB
77 786.42KB
77 - Creating Document Term Matrix English.vtt 8.92KB
78 411.28KB
78 - Analyzing most commonly spoken words.mp4 141.95MB
78 - Analyzing most commonly spoken words English.vtt 15.08KB
79 425.32KB
79 - Creating wordcloud.mp4 207.30MB
79 - Creating wordcloud English.vtt 22.98KB
7 - Phases of CRISP-DM.mp4 26.58MB
7 - Phases of CRISP English.vtt 4.36KB
8 391.65KB
80 791.59KB
80 - Profanity.mp4 81.50MB
80 - Profanity English.vtt 12.76KB
81 869.32KB
81 - Sentimental Analysis.mp4 37.83MB
81 - Sentimental Analysis English.vtt 5.95KB
82 1002.40KB
82 - Sentiment Label.mp4 69.29MB
82 - Sentiment Label English.vtt 8.10KB
83 1005.21KB
83 - Plotting Polarity and Subjectivity.mp4 53.50MB
83 - Plotting Polarity and Subjectivity English.vtt 8.25KB
84 356.17KB
84 - Topic Modeling.mp4 128.13MB
84 - Topic Modeling English.vtt 14.46KB
85 455.34KB
85 - Topic Modeling Part Of Speech Tagging.mp4 104.40MB
85 - Topic Modeling Part Of Speech Tagging English.vtt 12.69KB
86 567.41KB
86 - Text Generation.mp4 36.09MB
86 - Text Generation English.vtt 6.00KB
87 562.72KB
87 - Text Generation Part 2.mp4 86.13MB
88 555.11KB
88 - Introduction to Neural Networks.mp4 24.15MB
88 - Introduction to Neural Networks English.vtt 3.22KB
89 771.30KB
89 - Neuron.mp4 116.36MB
89 - Neuron English.vtt 29.36KB
8 - Phases of CRISP-DM part 2.mp4 17.45MB
8 - Phases of CRISP English.vtt 3.33KB
9 75.58KB
90 798.67KB
90 - Learn to create MLP model.mp4 156.53MB
90 - Learn to create MLP model English.vtt 20.10KB
91 187.67KB
91 - Multi English.vtt 24.43KB
91 - Multi-Layer Perception Algorithm part 2.mp4 166.06MB
92 753.19KB
92 - Multi English.vtt 8.79KB
92 - Multi-Layer Perception Algorithm part 3.mp4 61.44MB
93 - Multi English.vtt 13.29KB
93 - Multi-Layer Perception Algorithm part 4.mp4 85.97MB
9 - Phases of CRISP-DM part 3.mp4 39.72MB
9 - Phases of CRISP English.vtt 7.57KB
TutsNode.com.txt 63B
Distribution statistics by country
Russia (RU) 2
United States (US) 1
Ukraine (UA) 1
Total 4
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