2023 Python for Machine Learning & Data Science Projects
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14:09:49
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1. Introduction.html
2. Arithmatic Operations in Python.mp4
09:31
3. Data Types in Python.mp4
06:14
4. Variable Casting.mp4
05:37
5. Strings Operation in Python.mp4
09:24
6. String Slicing in Python.mp4
05:08
7. String Formatting and Modification.mp4
07:00
8. Boolean Variables and Evaluation.mp4
04:22
9. List in Python.mp4
09:31
10. Tuple in Python.mp4
06:46
11. 10 Set.mp4
07:11
12. Dictionary.mp4
07:29
13. Conditional Statements - If Else.mp4
08:46
14. While Loops.mp4
06:53
15. For Loops.mp4
08:31
16. Functions.mp4
10:39
17. Working with Date and Time.mp4
11:23
18. File Handling Read and Write.mp4
13:04
1. Numpy Introduction - Create Numpy Array.mp4
09:17
2. Array Indexing and Slicing.mp4
11:56
3. Numpy Data Types.mp4
10:43
4. np.nan and np.inf.mp4
06:32
5. Statistical Operations.mp4
04:26
6. Shape(), Reshape(), Ravel(), Flatten().mp4
04:44
7. arange(), linspace(), range(), random(), zeros(), and ones().mp4
11:44
8. Where.mp4
06:47
9. Numpy Array Read and Write.mp4
09:36
10. Concatenation and Sorting.mp4
08:14
1. Pandas Series Introduction Part 1.mp4
07:50
2. Pandas Series Introduction Part 2.mp4
05:31
3. Pandas Series Read From File.mp4
05:36
4. Apply Pythons Built in Functions to Series.mp4
08:43
5. apply() for Pandas Series.mp4
05:57
6. Pandas DataFrame Creation from Scratch.mp4
08:04
7. Read Files as DataFrame.mp4
09:51
8. Columns Manipulation Part 1.mp4
07:58
9. Columns Manipulation Part 2.mp4
07:11
10. Arithmetic Operations.mp4
04:29
11. NULL Values Handling.mp4
07:18
12. DataFrame Data Filtering Part 1.mp4
09:47
13. DataFrame Data Filtering Part 2.mp4
05:31
14. 14 Handling Unique and Duplicated Values.mp4
09:52
15. Retrive Rows by Index Label.mp4
08:05
16. Replace Cell Values.mp4
06:20
17. Rename, Delete Index and Columns.mp4
06:01
18. Lambda Apply.mp4
10:13
19. Pandas Groupby.mp4
08:07
20. Groupby Multiple Columns.mp4
08:28
21. Merging, Joining, and Concatenation Part 1.mp4
04:19
22. Concatenation.mp4
04:33
23. Merge and Join.mp4
12:00
24. Working with Datetime.mp4
10:51
25. Read Stock Data from YAHOO Finance.mp4
04:20
1. Matplotlib Introduction.mp4
03:55
2. Matplotlib Line Plot Part 1.mp4
07:19
3. IMDB Movie Revenue Line Plot Part 1.mp4
05:02
4. IMDB Movie Revenue Line Plot Part 2.mp4
03:19
5. Line Plot Rank vs Runtime Votes Metascore.mp4
05:05
6. Line Styling and Putting Labels.mp4
07:10
7. Scatter, Bar, and Histogram Plot Part 1.mp4
06:43
8. Scatter, Bar, and Histogram Plot Part 2.mp4
09:00
9. Subplot Part 1.mp4
07:01
10. Subplot Part 2.mp4
07:57
11. Subplots.mp4
06:56
12. Creating a Zoomed Sub-Figure of a Figure.mp4
07:56
13. xlim and ylim, legend, grid, xticks, yticks.mp4
06:31
14. Pie Chart and Figure Save.mp4
08:56
1. Introduction.mp4
03:22
2. Scatter Plot.mp4
05:51
3. Hue, Style and Size Part1.mp4
02:49
4. Hue, Style and Size Part2.mp4
06:01
5. Line Plot Part 1.mp4
04:32
6. Line Plot Part 2.mp4
09:34
7. Line Plot Part 3.mp4
07:48
8. Subplots.mp4
06:58
9. sns.lineplot() and sns.scatterplot().mp4
06:01
10. cat plot.mp4
06:38
11. Box Plot.mp4
03:00
12. Boxen Plot.mp4
04:16
13. Violin Plot.mp4
06:01
14. Bar Plot.mp4
03:54
15. Point Plot.mp4
02:44
16. Joint Plot.mp4
02:42
17. Pair Plot.mp4
05:02
18. Regression Plot.mp4
02:56
19. Controlling Ploted Figure Aesthetics.mp4
06:26
1. IRIS Dataset Introduction.mp4
02:36
2. Load IRIS Dataset.mp4
04:43
3. Line Plot.mp4
07:22
4. Secondary Axis.mp4
07:24
5. Bar and Barh Plot.mp4
07:55
6. Stacked Bar Plot.mp4
06:34
7. Histogram.mp4
10:31
8. Box Plot.mp4
07:30
9. Area and Scatter Plot.mp4
09:21
10. Hexbin Plot.mp4
04:40
11. Pie Chart.mp4
09:35
12. Scatter Matrix and Subplots.mp4
07:13
1. Introduction to Plotly and Cufflinks.mp4
05:08
2. Plotly Line Plot.mp4
06:34
3. Scatter Plot.mp4
04:00
4. Stacked Bar Plot.mp4
10:15
5. Box and Area Plot.mp4
04:01
6. 3D Plot.mp4
05:26
7. Hist Plot, Bubble Plot and Heatmap.mp4
08:39
1. Linear Regression Introduction.mp4
06:33
2. Regression Examples.mp4
05:28
3. Types of Linear Regression.mp4
05:31
4. Assessing the performance of the model.mp4
06:24
5. Bias-Variance tradeoff.mp4
07:51
6. What is sklearn and train-test-split.mp4
05:27
7. Python Package Upgrade and Import.mp4
05:13
8. Load Boston Housing Dataset.mp4
04:06
9. Dataset Analysis.mp4
06:46
10. Exploratory Data Analysis- Pair Plot.mp4
07:21
11. Exploratory Data Analysis- Hist Plot.mp4
05:34
12. Exploratory Data Analysis- Heatmap.mp4
04:45
13. Train Test Split and Model Training.mp4
06:44
14. How to Evaluate the Regression Model Performance.mp4
08:16
15. Plot True House Price vs Predicted Price.mp4
07:20
16. Plotting Learning Curves Part 1.mp4
08:02
17. Plotting Learning Curves Part 2.mp4
08:58
18. Machine Learning Model Interpretability- Residuals Plot.mp4
06:38
19. Machine Learning Model Interpretability- Prediction Error Plot.mp4
05:37
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Udemy
View courses UdemyStudents take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
- language english
- Training sessions 123
- duration 14:09:49
- Release Date 2023/03/09
