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Udemy - Complete Data Wrangling & Data Visualisation With Python [DC]

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Added 6 years ago by CourseClub in Other
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Udemy - Complete Data Wrangling & Data Visualisation With Python [DC] (Size: 3.1 GB)
  1. Basic Principles.mp4 26.5 MB
  1. Basic Principles.vtt 4.6 KB
  1. Correlation Analysis.mp4 56.4 MB
  1. Correlation Analysis.vtt 8.6 KB
  1. Data Grouping.mp4 97.9 MB
  1. Data Grouping.vtt 8.3 KB
  1. Histograms-Visualize the Distribution of Continuous Numerical Variables.mp4 99.1 MB
  1. Histograms-Visualize the Distribution of Continuous Numerical Variables.vtt 11.7 KB
  1. Remove NA Values.mp4 56 MB
  1. Remove NA Values.vtt 6.5 KB
  1. Using Colabs as an Online Jupyter Notebook.mp4 54.8 MB
  1. Using Colabs as an Online Jupyter Notebook.vtt 6.5 KB
  1. Welcome to the Course.mp4 12.4 MB
  1. Welcome to the Course.vtt 2.9 KB
  1. What are Pandas.mp4 85 MB
  1. What are Pandas.vtt 9.8 KB
  1. What is Data Visualisation.mp4 68.3 MB
  1. What is Data Visualisation.vtt 9.9 KB
  2. Boxplots-Visualize the Distribution of Continuous Numerical Variables.mp4 40.5 MB
  2. Boxplots-Visualize the Distribution of Continuous Numerical Variables.vtt 5.5 KB
  2. Data & Script For the Course.html 102.4 B
  2. Data Subsetting and Indexing.mp4 102 MB
  2. Data Subsetting and Indexing.vtt 7.8 KB
  2. Missing Values in a Real Dataset.mp4 36.9 MB
  2. Missing Values in a Real Dataset.vtt 6.3 KB
  2. Preliminary Data Explorations.mp4 64.5 MB
  2. Preliminary Data Explorations.vtt 7.8 KB
  2. Read CSV Data.mp4 53.9 MB
  2. Read CSV Data.vtt 5.7 KB
  2. Some Theoretical Principles Behind Data Visualisation.mp4 66.1 MB
  2. Some Theoretical Principles Behind Data Visualisation.vtt 7.1 KB
  2. Using Correlation to Decide Which Features to Retain.mp4 34.1 MB
  2. Using Correlation to Decide Which Features to Retain.vtt 5 KB
  2.1 Data and Code.zip.zip 123.3 MB
  3. Basic Data Handling With Conditional Statements.mp4 49.4 MB
  3. Basic Data Handling With Conditional Statements.vtt 4.1 KB
  3. Data Imputation.mp4 56.4 MB
  3. Data Imputation.vtt 9 KB
  3. More Data Subsetting.mp4 69.4 MB
  3. More Data Subsetting.vtt 8 KB
  3. Python Data Science Environment.mp4 105.1 MB
  3. Python Data Science Environment.vtt 10.2 KB
  3. Read Excel Data.mp4 42.4 MB
  3. Read Excel Data.vtt 3.6 KB
  3. Scatter plot-Relationship Between Two Numerical Variables.mp4 106.8 MB
  3. Scatter plot-Relationship Between Two Numerical Variables.vtt 12.1 KB
  3. Univariate Feature Selection.mp4 39.2 MB
  3. Univariate Feature Selection.vtt 4.6 KB
  4. Barplot.mp4 170.7 MB
  4. Barplot.vtt 22.5 KB
  4. Drop ColumnRow.mp4 47.6 MB
  4. Drop ColumnRow.vtt 4.3 KB
  4. Extract Information From Strings.mp4 38.3 MB
  4. Extract Information From Strings.vtt 4.2 KB
  4. For Mac Users.mp4 50.1 MB
  4. For Mac Users.vtt 3.8 KB
  4. Imputing Qualitative Values.mp4 21 MB
  4. Imputing Qualitative Values.vtt 3.3 KB
  4. Read in HTML Data.mp4 129.6 MB
  4. Read in HTML Data.vtt 11.1 KB
  4. Recursive Feature Elimination (RFE).mp4 36.5 MB
  4. Recursive Feature Elimination (RFE).vtt 4.1 KB
  5. (Fuzzy) String Matching.mp4 18.6 MB
  5. (Fuzzy) String Matching.vtt 2.7 KB
  5. Change Column Name.mp4 25.2 MB
  5. Change Column Name.vtt 3.6 KB
  5. Introduction to IPythonJupyter.mp4 102.7 MB
  5. Introduction to IPythonJupyter.vtt 17.1 KB
  5. Pie Chart.mp4 37.9 MB
  5. Pie Chart.vtt 5.8 KB
  5. Theory Behind PCA.mp4 23.9 MB
  5. Theory Behind PCA.vtt 2.9 KB
  5. Theory Behind k-NN Algorithm.mp4 96.2 MB
  5. Theory Behind k-NN Algorithm.vtt 6.5 KB
  6. Change the Column Type.mp4 22.7 MB
  6. Change the Column Type.vtt 3.9 KB
  6. Implement PCA.mp4 26.7 MB
  6. Implement PCA.vtt 4.1 KB
  6. Line Charts.mp4 116.8 MB
  6. Line Charts.vtt 12 KB
  6. Ranking & Sorting.mp4 82.3 MB
  6. Ranking & Sorting.vtt 7.4 KB
  6. Use k-NN for Data Imputation.mp4 44.2 MB
  6. Use k-NN for Data Imputation.vtt 6.1 KB
  6. ipython in Browser.mp4 40.5 MB
  6. ipython in Browser.vtt 3.5 KB
  7. Concatenate.mp4 70.1 MB
  7. Concatenate.vtt 7.9 KB
  7. Data Standardisation.mp4 32.5 MB
  7. Data Standardisation.vtt 4.1 KB
  7. Explore Date Related Data.mp4 25.1 MB
  7. Explore Date Related Data.vtt 3.6 KB
  7. More Line Charts.mp4 18.9 MB
  7. More Line Charts.vtt 2.3 KB
  8. Create a New Feature.mp4 40 MB
  8. Create a New Feature.vtt 5.8 KB
  8. Merging and Joining.mp4 96.8 MB
  8. Merging and Joining.vtt 10.7 KB
  8. Simple Date Related Computations.mp4 25.3 MB
  8. Simple Date Related Computations.vtt 3.8 KB
  8. Some More Plot Types.mp4 76 MB
  8. Some More Plot Types.vtt 10.6 KB
  9. And Some More.mp4 78.5 MB
  9. And Some More.vtt 8.3 KB
  [CourseClub.Me].url 0 B
  [DesireCourse.Net].url 0 B
  ▲ 106 total files

Description


Complete Data Wrangling & Data Visualisation With Python

Learn to Preprocess, Wrangle and Visualise Data For Practical Data Science Applications in Python

For More Courses Visit: https://desirecourse.net

For More Courses Visit: https://courseclub.me

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