[FTUForum.com] [UDEMY] Complete Data Wrangling & Data Visualisation With Python [FTU] torrent, magnet, bt

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[FTUForum.com] [UDEMY] Complete Data Wrangling & Data Visualisation With Python [FTU]

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2019-06-13

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FTUForum com UDEMY Complete Data Wrangling Data Visualisation With Python FTU

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1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/1. Welcome to the Course.mp4

12.43MB

1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/1. Welcome to the Course.vtt

2.85KB

1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/2.1 Data and Code.zip.zip

123.32MB

1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/2. Data & Script For the Course.html

123B

1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/3. Python Data Science Environment.mp4

105.06MB

1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/3. Python Data Science Environment.vtt

10.18KB

1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/4. For Mac Users.mp4

50.07MB

1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/4. For Mac Users.vtt

3.79KB

1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/5. Introduction to IPythonJupyter.mp4

102.69MB

1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/5. Introduction to IPythonJupyter.vtt

17.15KB

1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/6. ipython in Browser.mp4

40.48MB

1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/6. ipython in Browser.vtt

3.45KB

2. Read in Data From Different Sources With Pandas/1. What are Pandas.mp4

85.04MB

2. Read in Data From Different Sources With Pandas/1. What are Pandas.vtt

9.8KB

2. Read in Data From Different Sources With Pandas/2. Read CSV Data.mp4

53.86MB

2. Read in Data From Different Sources With Pandas/2. Read CSV Data.vtt

5.66KB

2. Read in Data From Different Sources With Pandas/3. Read Excel Data.mp4

42.4MB

2. Read in Data From Different Sources With Pandas/3. Read Excel Data.vtt

3.56KB

2. Read in Data From Different Sources With Pandas/4. Read in HTML Data.mp4

129.55MB

2. Read in Data From Different Sources With Pandas/4. Read in HTML Data.vtt

11.11KB

3. Data Cleaning/1. Remove NA Values.mp4

55.95MB

3. Data Cleaning/1. Remove NA Values.vtt

6.47KB

3. Data Cleaning/2. Missing Values in a Real Dataset.mp4

36.88MB

3. Data Cleaning/2. Missing Values in a Real Dataset.vtt

6.32KB

3. Data Cleaning/3. Data Imputation.mp4

56.41MB

3. Data Cleaning/3. Data Imputation.vtt

8.98KB

3. Data Cleaning/4. Imputing Qualitative Values.mp4

20.97MB

3. Data Cleaning/4. Imputing Qualitative Values.vtt

3.35KB

3. Data Cleaning/5. Theory Behind k-NN Algorithm.mp4

96.2MB

3. Data Cleaning/5. Theory Behind k-NN Algorithm.vtt

6.54KB

3. Data Cleaning/6. Use k-NN for Data Imputation.mp4

44.22MB

3. Data Cleaning/6. Use k-NN for Data Imputation.vtt

6.08KB

4. Basic Data Wrangling/1. Basic Principles.mp4

26.51MB

4. Basic Data Wrangling/1. Basic Principles.vtt

4.63KB

4. Basic Data Wrangling/2. Preliminary Data Explorations.mp4

64.53MB

4. Basic Data Wrangling/2. Preliminary Data Explorations.vtt

7.78KB

4. Basic Data Wrangling/3. Basic Data Handling With Conditional Statements.mp4

49.41MB

4. Basic Data Wrangling/3. Basic Data Handling With Conditional Statements.vtt

4.1KB

4. Basic Data Wrangling/4. Drop ColumnRow.mp4

47.63MB

4. Basic Data Wrangling/4. Drop ColumnRow.vtt

4.26KB

4. Basic Data Wrangling/5. Change Column Name.mp4

25.18MB

4. Basic Data Wrangling/5. Change Column Name.vtt

3.58KB

4. Basic Data Wrangling/6. Change the Column Type.mp4

22.67MB

4. Basic Data Wrangling/6. Change the Column Type.vtt

3.92KB

4. Basic Data Wrangling/7. Explore Date Related Data.mp4

25.13MB

4. Basic Data Wrangling/7. Explore Date Related Data.vtt

3.61KB

4. Basic Data Wrangling/8. Simple Date Related Computations.mp4

25.27MB

4. Basic Data Wrangling/8. Simple Date Related Computations.vtt

3.77KB

5. More Data Wrangling/1. Data Grouping.mp4

97.86MB

5. More Data Wrangling/1. Data Grouping.vtt

8.33KB

5. More Data Wrangling/2. Data Subsetting and Indexing.mp4

101.98MB

5. More Data Wrangling/2. Data Subsetting and Indexing.vtt

7.77KB

5. More Data Wrangling/3. More Data Subsetting.mp4

69.37MB

5. More Data Wrangling/3. More Data Subsetting.vtt

7.98KB

5. More Data Wrangling/4. Extract Information From Strings.mp4

38.29MB

5. More Data Wrangling/4. Extract Information From Strings.vtt

4.19KB

5. More Data Wrangling/5. (Fuzzy) String Matching.mp4

18.6MB

5. More Data Wrangling/5. (Fuzzy) String Matching.vtt

2.72KB

5. More Data Wrangling/6. Ranking & Sorting.mp4

82.31MB

5. More Data Wrangling/6. Ranking & Sorting.vtt

7.4KB

5. More Data Wrangling/7. Concatenate.mp4

70.05MB

5. More Data Wrangling/7. Concatenate.vtt

7.92KB

5. More Data Wrangling/8. Merging and Joining.mp4

96.84MB

5. More Data Wrangling/8. Merging and Joining.vtt

10.7KB

6. Feature Selection and Transformation/1. Correlation Analysis.mp4

56.42MB

6. Feature Selection and Transformation/1. Correlation Analysis.vtt

8.6KB

6. Feature Selection and Transformation/2. Using Correlation to Decide Which Features to Retain.mp4

34.15MB

6. Feature Selection and Transformation/2. Using Correlation to Decide Which Features to Retain.vtt

5.04KB

6. Feature Selection and Transformation/3. Univariate Feature Selection.mp4

39.17MB

6. Feature Selection and Transformation/3. Univariate Feature Selection.vtt

4.59KB

6. Feature Selection and Transformation/4. Recursive Feature Elimination (RFE).mp4

36.53MB

6. Feature Selection and Transformation/4. Recursive Feature Elimination (RFE).vtt

4.06KB

6. Feature Selection and Transformation/5. Theory Behind PCA.mp4

23.87MB

6. Feature Selection and Transformation/5. Theory Behind PCA.vtt

2.94KB

6. Feature Selection and Transformation/6. Implement PCA.mp4

26.72MB

6. Feature Selection and Transformation/6. Implement PCA.vtt

4.08KB

6. Feature Selection and Transformation/7. Data Standardisation.mp4

32.47MB

6. Feature Selection and Transformation/7. Data Standardisation.vtt

4.13KB

6. Feature Selection and Transformation/8. Create a New Feature.mp4

39.97MB

6. Feature Selection and Transformation/8. Create a New Feature.vtt

5.76KB

7. Theory Behind Data Visualisation/1. What is Data Visualisation.mp4

68.35MB

7. Theory Behind Data Visualisation/1. What is Data Visualisation.vtt

9.88KB

7. Theory Behind Data Visualisation/2. Some Theoretical Principles Behind Data Visualisation.mp4

66.11MB

7. Theory Behind Data Visualisation/2. Some Theoretical Principles Behind Data Visualisation.vtt

7.11KB

8. Most Common Data Visualizations/1. Histograms-Visualize the Distribution of Continuous Numerical Variables.mp4

99.1MB

8. Most Common Data Visualizations/1. Histograms-Visualize the Distribution of Continuous Numerical Variables.vtt

11.72KB

8. Most Common Data Visualizations/2. Boxplots-Visualize the Distribution of Continuous Numerical Variables.mp4

40.52MB

8. Most Common Data Visualizations/2. Boxplots-Visualize the Distribution of Continuous Numerical Variables.vtt

5.47KB

8. Most Common Data Visualizations/3. Scatter plot-Relationship Between Two Numerical Variables.mp4

106.83MB

8. Most Common Data Visualizations/3. Scatter plot-Relationship Between Two Numerical Variables.vtt

12.07KB

8. Most Common Data Visualizations/4. Barplot.mp4

170.67MB

8. Most Common Data Visualizations/4. Barplot.vtt

22.51KB

8. Most Common Data Visualizations/5. Pie Chart.mp4

37.88MB

8. Most Common Data Visualizations/5. Pie Chart.vtt

5.84KB

8. Most Common Data Visualizations/6. Line Charts.mp4

116.79MB

8. Most Common Data Visualizations/6. Line Charts.vtt

12.01KB

8. Most Common Data Visualizations/7. More Line Charts.mp4

18.94MB

8. Most Common Data Visualizations/7. More Line Charts.vtt

2.28KB

8. Most Common Data Visualizations/8. Some More Plot Types.mp4

75.99MB

8. Most Common Data Visualizations/8. Some More Plot Types.vtt

10.56KB

8. Most Common Data Visualizations/9. And Some More.mp4

78.5MB

8. Most Common Data Visualizations/9. And Some More.vtt

8.3KB

9. Miscallaneous Information/1. Using Colabs as an Online Jupyter Notebook.mp4

54.82MB

9. Miscallaneous Information/1. Using Colabs as an Online Jupyter Notebook.vtt

6.52KB

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