DesireCourse Net Udemy Complete Data Wrangling Data Visualisation With Python

DesireCourse Net Udemy Complete Data Wrangling Data Visualisation With Python

Name	[DesireCourse.Net] Udemy - Complete Data Wrangling & Data Visualisation With Python	DOWNLOAD Copy Link
Total Size	3.3 GB
Total Files	106
Hash	52C1AF21078E1BC1AFC0316017794C667BF247B5

/1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/
1. Welcome to the Course.mp4	13.0 MB
1. Welcome to the Course.vtt	2.9 KB
2. Data & Script For the Course.html	0.1 KB
2.1 Data and Code.zip.zip	129.3 MB
3. Python Data Science Environment.mp4	110.2 MB
3. Python Data Science Environment.vtt	10.4 KB
4. For Mac Users.mp4	52.5 MB
4. For Mac Users.vtt	3.9 KB
5. Introduction to IPythonJupyter.mp4	107.7 MB
5. Introduction to IPythonJupyter.vtt	17.6 KB
6. ipython in Browser.mp4	42.4 MB
6. ipython in Browser.vtt	3.5 KB
/2. Read in Data From Different Sources With Pandas/
1. What are Pandas.mp4	89.2 MB
1. What are Pandas.vtt	10.0 KB
2. Read CSV Data.mp4	56.5 MB
2. Read CSV Data.vtt	5.8 KB
3. Read Excel Data.mp4	44.5 MB
3. Read Excel Data.vtt	3.6 KB
4. Read in HTML Data.mp4	135.8 MB
4. Read in HTML Data.vtt	11.4 KB
/3. Data Cleaning/
1. Remove NA Values.mp4	58.7 MB
1. Remove NA Values.vtt	6.6 KB
2. Missing Values in a Real Dataset.mp4	38.7 MB
2. Missing Values in a Real Dataset.vtt	6.5 KB
3. Data Imputation.mp4	59.1 MB
3. Data Imputation.vtt	9.2 KB
4. Imputing Qualitative Values.mp4	22.0 MB
4. Imputing Qualitative Values.vtt	3.4 KB
5. Theory Behind k-NN Algorithm.mp4	100.9 MB
5. Theory Behind k-NN Algorithm.vtt	6.7 KB
6. Use k-NN for Data Imputation.mp4	46.4 MB
6. Use k-NN for Data Imputation.vtt	6.2 KB
/4. Basic Data Wrangling/
1. Basic Principles.mp4	27.8 MB
1. Basic Principles.vtt	4.7 KB
2. Preliminary Data Explorations.mp4	67.7 MB
2. Preliminary Data Explorations.vtt	8.0 KB
3. Basic Data Handling With Conditional Statements.mp4	51.8 MB
3. Basic Data Handling With Conditional Statements.vtt	4.2 KB
4. Drop ColumnRow.mp4	49.9 MB
4. Drop ColumnRow.vtt	4.4 KB
5. Change Column Name.mp4	26.4 MB
5. Change Column Name.vtt	3.7 KB
6. Change the Column Type.mp4	23.8 MB
6. Change the Column Type.vtt	4.0 KB
7. Explore Date Related Data.mp4	26.3 MB
7. Explore Date Related Data.vtt	3.7 KB
8. Simple Date Related Computations.mp4	26.5 MB
8. Simple Date Related Computations.vtt	3.9 KB
/5. More Data Wrangling/
1. Data Grouping.mp4	102.6 MB
1. Data Grouping.vtt	8.5 KB
2. Data Subsetting and Indexing.mp4	106.9 MB
2. Data Subsetting and Indexing.vtt	8.0 KB
3. More Data Subsetting.mp4	72.7 MB
3. More Data Subsetting.vtt	8.2 KB
4. Extract Information From Strings.mp4	40.2 MB
4. Extract Information From Strings.vtt	4.3 KB
5. (Fuzzy) String Matching.mp4	19.5 MB
5. (Fuzzy) String Matching.vtt	2.8 KB
6. Ranking & Sorting.mp4	86.3 MB
6. Ranking & Sorting.vtt	7.6 KB
7. Concatenate.mp4	73.5 MB
7. Concatenate.vtt	8.1 KB
8. Merging and Joining.mp4	101.5 MB
8. Merging and Joining.vtt	11.0 KB
/6. Feature Selection and Transformation/
1. Correlation Analysis.mp4	59.2 MB
1. Correlation Analysis.vtt	8.8 KB
2. Using Correlation to Decide Which Features to Retain.mp4	35.8 MB
2. Using Correlation to Decide Which Features to Retain.vtt	5.2 KB
3. Univariate Feature Selection.mp4	41.1 MB
3. Univariate Feature Selection.vtt	4.7 KB
4. Recursive Feature Elimination (RFE).mp4	38.3 MB
4. Recursive Feature Elimination (RFE).vtt	4.2 KB
5. Theory Behind PCA.mp4	25.0 MB
5. Theory Behind PCA.vtt	3.0 KB
6. Implement PCA.mp4	28.0 MB
6. Implement PCA.vtt	4.2 KB
7. Data Standardisation.mp4	34.0 MB
7. Data Standardisation.vtt	4.2 KB
8. Create a New Feature.mp4	41.9 MB
8. Create a New Feature.vtt	5.9 KB
/7. Theory Behind Data Visualisation/
1. What is Data Visualisation.mp4	71.7 MB
1. What is Data Visualisation.vtt	10.1 KB
2. Some Theoretical Principles Behind Data Visualisation.mp4	69.3 MB
2. Some Theoretical Principles Behind Data Visualisation.vtt	7.3 KB
/8. Most Common Data Visualizations/
1. Histograms-Visualize the Distribution of Continuous Numerical Variables.mp4	103.9 MB
1. Histograms-Visualize the Distribution of Continuous Numerical Variables.vtt	12.0 KB
2. Boxplots-Visualize the Distribution of Continuous Numerical Variables.mp4	42.5 MB
2. Boxplots-Visualize the Distribution of Continuous Numerical Variables.vtt	5.6 KB
3. Scatter plot-Relationship Between Two Numerical Variables.mp4	112.0 MB
3. Scatter plot-Relationship Between Two Numerical Variables.vtt	12.4 KB
4. Barplot.mp4	179.0 MB
4. Barplot.vtt	23.1 KB
5. Pie Chart.mp4	39.7 MB
5. Pie Chart.vtt	6.0 KB
6. Line Charts.mp4	122.5 MB
6. Line Charts.vtt	12.3 KB
7. More Line Charts.mp4	19.9 MB
7. More Line Charts.vtt	2.3 KB
8. Some More Plot Types.mp4	79.7 MB
8. Some More Plot Types.vtt	10.8 KB
9. And Some More.mp4	82.3 MB
9. And Some More.vtt	8.5 KB
/9. Miscallaneous Information/
1. Using Colabs as an Online Jupyter Notebook.mp4	57.5 MB
1. Using Colabs as an Online Jupyter Notebook.vtt	6.7 KB
/
[CourseClub.Me].url	0.0 KB
[DesireCourse.Net].url	0.1 KB
Total files 106