Torrent Info
Title Python for Data Science and Data Analysis
Category XXX
Size 4.40GB
Files List
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[TGx]Downloaded from torrentgalaxy.to .txt 585B
1. About the Tutor and AI Sciences.mp4 53.21MB
1. About the Tutor and AI Sciences.srt 13.94KB
1. Functions in Python.mp4 44.34MB
1. Functions in Python.srt 11.08KB
1. If Python Condition.mp4 55.46MB
1. If Python Condition.srt 15.73KB
1. Installing Python and Jupyter Anaconda.mp4 28.33MB
1. Installing Python and Jupyter Anaconda.srt 5.63KB
1. Introduction to Data Structure.mp4 51.44MB
1. Introduction to Data Structure.srt 8.36KB
1. Introduction to Matplotlib.mp4 38.96MB
1. Introduction to Matplotlib.srt 8.99KB
1. Introduction to NumPy.mp4 34.52MB
1. Introduction to NumPy.srt 8.21KB
1. Introduction to Pandas.mp4 28.44MB
1. Introduction to Pandas.srt 8.33KB
1. Introduction to Scikit-Learn.mp4 32.13MB
1. Introduction to Scikit-Learn.srt 7.10KB
1. Python Function- Round.mp4 22.72MB
1. Python Function- Round.srt 6.84KB
1. Strings.mp4 46.42MB
1. Strings.srt 11.77KB
1. Understanding the Algorithm.mp4 111.04MB
1. Understanding the Algorithm.srt 15.20KB
1. Variables.mp4 67.79MB
1. Variables.srt 19.06KB
1. Why Python.mp4 40.80MB
1. Why Python.srt 10.24KB
10. Default Values in Python.mp4 57.72MB
10. Default Values in Python.srt 14.70KB
10. Loops Practice-Sorting Problem.mp4 63.84MB
10. Loops Practice-Sorting Problem.srt 14.77KB
10. NumPy ufuncs Speed Test.mp4 31.08MB
10. NumPy ufuncs Speed Test.srt 7.97KB
11. Modules in Python.mp4 29.59MB
11. Modules in Python.srt 7.12KB
12. Making Modules in Python.mp4 73.33MB
12. Making Modules in Python.srt 18.49KB
13. Function Practice-Sorting List in Python.mp4 139.47MB
13. Function Practice-Sorting List in Python.srt 35.00KB
2. Defining and Indexing.mp4 59.38MB
2. Defining and Indexing.srt 12.41KB
2. DocString.mp4 43.75MB
2. DocString.srt 11.53KB
2. FlowCharts and Pseudocodes.mp4 47.16MB
2. FlowCharts and Pseudocodes.srt 11.96KB
2. Focus of the Course-Part 1.mp4 46.14MB
2. Focus of the Course-Part 1.srt 13.72KB
2. if Elif Else Python Conditions.mp4 41.18MB
2. if Elif Else Python Conditions.srt 8.99KB
2. Multi Line Strings.mp4 32.22MB
2. Multi Line Strings.srt 7.52KB
2. NumPy Dimensions.mp4 64.18MB
2. NumPy Dimensions.srt 18.38KB
2. Operators.mp4 54.65MB
2. Operators.srt 16.95KB
2. Pandas Series.mp4 28.95MB
2. Pandas Series.srt 7.04KB
2. Python Function- Divmod.mp4 18.86MB
2. Python Function- Divmod.srt 5.48KB
2. Scikit-Learn for Linear Regression.mp4 44.14MB
2. Scikit-Learn for Linear Regression.srt 9.09KB
2. Seaborn Vs. Matplotlib Style.mp4 37.26MB
2. Seaborn Vs. Matplotlib Style.srt 7.10KB
2. Why Jupyter Notebooks.mp4 46.88MB
2. Why Jupyter Notebooks.srt 15.22KB
2. Your First Python Code- Hello World.mp4 43.94MB
2. Your First Python Code- Hello World.srt 11.05KB
3. Coding in IPython Shell.mp4 26.09MB
3. Coding in IPython Shell.srt 8.63KB
3. Example of Algorithms- Making Tea Problem.mp4 56.20MB
3. Example of Algorithms- Making Tea Problem.srt 17.19KB
3. Focus of the Course- Part 2.mp4 37.62MB
3. Focus of the Course- Part 2.srt 10.30KB
3. Histograms Kdeplot.mp4 98.70MB
3. Histograms Kdeplot.srt 15.18KB
3. Indexing Strings.mp4 66.34MB
3. Indexing Strings.srt 18.37KB
3. Input Arguments.mp4 44.05MB
3. Input Arguments.srt 10.53KB
3. Insertion and Deletion.mp4 45.32MB
3. Insertion and Deletion.srt 9.14KB
3. More on if Elif Else Python Conditions.mp4 52.42MB
3. More on if Elif Else Python Conditions.srt 10.93KB
3. NumPy Shape, Size and Bytes.mp4 22.54MB
3. NumPy Shape, Size and Bytes.srt 5.47KB
3. Pandas Data Frame.mp4 40.59MB
3. Pandas Data Frame.srt 10.23KB
3. Python Function- Is instance and PowFunctions.mp4 24.56MB
3. Python Function- Is instance and PowFunctions.srt 7.60KB
3. Scikit-Learn for SVM and Random Forests.mp4 113.35MB
3. Scikit-Learn for SVM and Random Forests.srt 21.79KB
3. Variable Name Quiz.mp4 23.12MB
3. Variable Name Quiz.srt 5.89KB
4. Arange, Random and Reshape-Part 1.mp4 47.53MB
4. Arange, Random and Reshape-Part 1.srt 12.30KB
4. Bool Data Type in Python.mp4 26.93MB
4. Bool Data Type in Python.srt 6.97KB
4. Example of Algorithms-Searching Minimun.mp4 96.01MB
4. Example of Algorithms-Searching Minimun.srt 20.96KB
4. Feedbacks and Review.mp4 28.96MB
4. Feedbacks and Review.srt 2.52KB
4. Indentations.mp4 74.67MB
4. Indentations.srt 15.92KB
4. Multiple Input Arguments.mp4 46.55MB
4. Multiple Input Arguments.srt 10.30KB
4. Pandas Missing Values.mp4 28.36MB
4. Pandas Missing Values.srt 8.02KB
4. Python Function- Input.mp4 43.65MB
4. Python Function- Input.srt 10.59KB
4. Python Practice-Insertion and Deletion.mp4 34.30MB
4. Python Practice-Insertion and Deletion.srt 7.62KB
4. ScikitLearn- Trend Analysis COVID19.mp4 77.97MB
4. ScikitLearn- Trend Analysis COVID19.srt 14.97KB
4. Seaborn Pairplot and Jointplot.mp4 24.67MB
4. Seaborn Pairplot and Jointplot.srt 4.31KB
4. String Methods.mp4 70.76MB
4. String Methods.srt 19.02KB
5. Arange, Random and Reshape-Part 2.mp4 57.24MB
5. Arange, Random and Reshape-Part 2.srt 12.43KB
5. Comments and Problem Solving Practice With If.mp4 91.70MB
5. Comments and Problem Solving Practice With If.srt 19.30KB
5. Comparison in Python.mp4 29.85MB
5. Comparison in Python.srt 8.50KB
5. Deep Copy or Reference Slicing.mp4 47.81MB
5. Deep Copy or Reference Slicing.srt 10.37KB
5. Example of Algorithms-Sorting Problem.mp4 46.07MB
5. Example of Algorithms-Sorting Problem.srt 9.19KB
5. Link to the Python codes for the projects and the data.html 686B
5. Ordering Multiple Input Arguments.mp4 33.55MB
5. Ordering Multiple Input Arguments.srt 7.53KB
5. Pandas .loc and .iloc.mp4 33.16MB
5. Pandas .loc and .iloc.srt 7.65KB
5. Seaborn Pairplot using Iris Data.mp4 51.16MB
5. Seaborn Pairplot using Iris Data.srt 8.09KB
5. String Escape Sequences.mp4 51.44MB
5. String Escape Sequences.srt 13.34KB
5. THANK YOU Bonus Video.mp4 29.73MB
5. THANK YOU Bonus Video.srt 2.64KB
6. Combining Comparisons in Python.mp4 45.34MB
6. Combining Comparisons in Python.srt 11.73KB
6. Exploring Methods Using TAB Completion.mp4 42.65MB
6. Exploring Methods Using TAB Completion.srt 9.78KB
6. Introduction to Bokeh.mp4 70.75MB
6. Introduction to Bokeh.srt 14.15KB
6. Output Arguments and Return Statement.mp4 32.71MB
6. Output Arguments and Return Statement.srt 8.90KB
6. Pandas Practice-Using COVID19 Data -Part 1.mp4 94.63MB
6. Pandas Practice-Using COVID19 Data -Part 1.srt 16.53KB
6. Slicing-Part 1.mp4 58.66MB
6. Slicing-Part 1.srt 14.23KB
6. Sorting Problem in Python.mp4 61.95MB
6. Sorting Problem in Python.srt 14.53KB
6. While Loop.mp4 41.59MB
6. While Loop.srt 9.29KB
7. Bokeh Gridplot.mp4 39.88MB
7. Bokeh Gridplot.srt 6.97KB
7. Combining Comparisons Quiz.mp4 19.62MB
7. Combining Comparisons Quiz.srt 4.25KB
7. Data Structure Abstract Ways.mp4 31.08MB
7. Data Structure Abstract Ways.srt 7.52KB
7. Function Practice-Output Arguments and Return Statement.mp4 61.89MB
7. Function Practice-Output Arguments and Return Statement.srt 17.08KB
7. Pandas Practice-Using COVID19 Data -Part 2.mp4 55.23MB
7. Pandas Practice-Using COVID19 Data -Part 2.srt 9.93KB
7. Slicing-Part 2.mp4 41.72MB
7. Slicing-Part 2.srt 8.87KB
7. While Loop break Continue.mp4 59.34MB
7. While Loop break Continue.srt 13.92KB
8. Data Structure Practice.mp4 113.59MB
8. Data Structure Practice.srt 20.08KB
8. For Loop.mp4 38.66MB
8. For Loop.srt 10.11KB
8. NumPy Masking.mp4 47.44MB
8. NumPy Masking.srt 11.19KB
8. Variable Number of Input Arguments.mp4 39.39MB
8. Variable Number of Input Arguments.srt 9.33KB
9. Else In For Loop.mp4 44.00MB
9. Else In For Loop.srt 11.88KB
9. NumPy BroadCasting and Concatination.mp4 43.69MB
9. NumPy BroadCasting and Concatination.srt 12.73KB
9. Variable Number of Input Arguments as Dictionary.mp4 41.30MB
9. Variable Number of Input Arguments as Dictionary.srt 10.88KB
TutsNode.com.txt 63B
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