Python for Data Science Python Programming and Data Analysis 2
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1337x- Downloads
- 170
- Type
- Tutorials
- Language
- English
- Category
- Other
- Size
- 2.2 GB
- Added
- 2024-05-24 06:25 (2 years, 5 months ago)
- Peers
- 1 seeders, 0 leechers (checked 6 days, 16 hours ago)
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- Get Bonus Downloads Here.url181 bytes
- 1. Introduction.mp420.0 MB
- 2. Course resources.html106 bytes
- Housing.csv29.3 KB
- Housing.xlsx37.5 KB
- Housing_with_null.csv29.1 KB
- MatplotLib.ipynb1003.8 KB
- Numpy.ipynb53.1 KB
- Pandas.ipynb233.8 KB
- Python_Tutorial.ipynb139.8 KB
- Seaborn.ipynb2.0 MB
- example.txt18 bytes
- Autoviz-checkpoint.ipynb72 bytes
- MatplotLib-checkpoint.ipynb72 bytes
- Numpy-checkpoint.ipynb72 bytes
- Pandas-checkpoint.ipynb72 bytes
- Python_Tutorial-checkpoint.ipynb120.0 KB
- Seaborn-checkpoint.ipynb72 bytes
- example-checkpoint.txt33 bytes
- gemini-checkpoint.ipynb72 bytes
- 1. Introduction to Matplotlib Library.mp439.5 MB
- 2. Data Visualization with Matplotlib Plotting Essentials and Customization.mp4116.5 MB
- 3. Visualizing Average Session Length per Day with a Line Chart.html144 bytes
- 4. Exploring Subplots, Scatter Plots, and Customization.mp478.2 MB
- 5. Creating a Scatter Plot of Random Data Points.html144 bytes
- 6. Crafting Bar Plots, Histograms, Pie Charts with Customization Using Matplotlib.mp485.9 MB
- 7. Practice Assignment Visualizing Olympic Medals Data with Matplotlib.html148 bytes
- 1. Introduction to Seaborn Library.mp471.5 MB
- 2. Exploring Seaborn Univariate and Bivariate Analysis for Data Visualization.mp450.4 MB
- 3. Advanced Data Visualization with Seaborn Pairplot and Barplot Customization.mp488.6 MB
- 4. Advanced Visualizations with Countplot and Heatmap Using Seaborn.mp464.0 MB
- 5. Practice Assignment Data Visualization with Seaborn and the Iris Dataset.html148 bytes
- 1. About your certificate.html945 bytes
- 2. Bonus lecture.html6.3 KB
- 1. Introduction to Python.mp437.1 MB
- 10. Practice Assignment.html148 bytes
- 2. First code to Python Programming.html144 bytes
- 3. Variables in Python Declaration and Use.mp467.5 MB
- 4. Basic Arithmetic Operations in Python.html144 bytes
- 5. Data types in Python.mp438.9 MB
- 6. Python String.mp448.2 MB
- 7. Quiz.html144 bytes
- 8. String methods.mp482.5 MB
- 9. Calculating Body Mass Index (BMI) in Python.html144 bytes
- 1. List in Python.mp475.0 MB
- 2. Working with Lists in Python.html144 bytes
- 3. Tuples in Python.mp441.6 MB
- 4. Dictionaries in Python.mp436.8 MB
- 5. Working with Dictionaries in Python.html144 bytes
- 6. Sets in Python.mp429.9 MB
- 7. Practice Assignment.html148 bytes
- 1. Python Conditional Expressions.mp431.7 MB
- 2. Conditional Statements in Python.html144 bytes
- 3. Exploring Operators and Conditional Expressions in Python.mp479.7 MB
- 4. Practice Assignment.html148 bytes
- 1. For loops in Python.mp476.9 MB
- 2. Generating Square Numbers in Python.html144 bytes
- 3. While loops in Python.mp451.6 MB
- 4. Practice Assignment.html148 bytes
- 1. Function in Python.mp470.7 MB
- 2. Checking Even Numbers Using Functions in Python.html144 bytes
- 3. Recursion in Python.mp452.6 MB
- 4. Lambda function.mp449.5 MB
- 5. Lambda Functions for Exponentiation.html144 bytes
- 6. Practice Assignment.html148 bytes
- 1. File IO in Python.mp469.4 MB
- 2. Writing to a File in Python.html144 bytes
- 3. Quiz.html144 bytes
- 1. Introduction to NumPy arrays.mp460.9 MB
- 2. Accessing the elements of NumPy arrays.mp433.5 MB
- 3. Creating and Accessing Elements in NumPy Arrays.html144 bytes
- 4. Leveraging Data Types, Shapes, and Array Stacking in NumPy.mp453.0 MB
- 5. Exploring Diverse Approaches to Creating NumPy Arrays.mp442.6 MB
- 6. Creating NumPy Arrays with Evenly Spaced Numbers.html144 bytes
- 7. Mathematical operations on arrays.mp446.1 MB
- 8. Array Operations and Median Calculation in Python.html144 bytes
- 9. Practice Assignment.html148 bytes
- 1. Introduction to Pandas Library.mp440.8 MB
- 2. Creating DataFrame from Dictionary in Pandas.html144 bytes
- 3. Exploring Series and DataFrame in Python.mp447.3 MB
- 4. Essential Data Analysis Methods in Python.mp4111.6 MB
- 5. Importing Data from CSV File using Pandas.html144 bytes
- 6. Missing Data Handling in Python.mp4109.2 MB
- 7. Manipulating DataFrame in Python.mp4110.7 MB
- 8. Practice Assignment Analyzing and Visualizing the Titanic Dataset with Pandas.html148 bytes
- Bonus Resources.txt386 bytes
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