Module 1 • Python for Data Science — ICARUS AI

Dr. Nijat Aliyev

Module 1 • Python for Data Science

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Course Details

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Dr. Nijat Aliyev

Profile Courses

Lessons

W1L1 Installation of Python and Jupyter

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W1L2 Data arrays with NumPy P1 Data types

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W1L2 Data arrays with NumPy P2 Array indexing and reshaping

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W1L2 Data arrays with NumPy P3 Aggregations

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W1L2 Data arrays with NumPy P4 Computations on arrays

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W1L2 Data arrays with NumPy P5 Comparison

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W1L2 Data arrays with NumPy P6 Sorting arrays

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W1L2 Data arrays with NumPy P7 Creating structured arrays

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W1L3 Data Manipulation with Pandas P1 Importing Pandas

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W1L3 Data Manipulation with Pandas P2 Reading structured data

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W1L3 Data Manipulation with Pandas P3 Handling Missing Data

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W1L3 Data Manipulation with Pandas P4 Cleaning Data

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W1L3 Data Manipulation with Pandas P5 Aggregation and Grouping

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W2L1 Data visualization with Matplotlib and seaborn I P1 Import matplotlib

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W2L1 Data visualization with Matplotlib and seaborn I P2 Simple plotting of Data frame

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W2L1 Data visualization with Matplotlib and seaborn I P3 Show plot: show()

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W2L1 Data visualization with Matplotlib and seaborn I P4 Scatter plot

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W2L1 Data visualization with Matplotlib and seaborn I P5 Histograms and density

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W2L2 Data visualization with Matplotlib and seaborn II P1 Customizing plots

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W2L2 Data visualization with Matplotlib and seaborn II P2 Multiple subplots

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W2L2 Data visualization with Matplotlib and seaborn II P3 Text and annotation

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W3L1 Machine Learning Basics P1 Categories of Machine Learning

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W3L1 Machine Learning Basics P2 Import scikit learn

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W3L1 Machine Learning Basics P3 Data in Scikit Learn

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W3L2 Hyperparameters and Model Validation P1 Selecting Best Models

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W3L2 Hyperparameters and Model Validation P2 Learning Curves

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W3L2 Hyperparameters and Model Validation P3 Grid Search

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