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Classroom Contents
Transform Your Data Analysis Skills in 2024 - Python and Generative AI
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- 1 Introduction
- 2 NumPy Python Tutorial
- 3 How to Create NumPy Array
- 4 How to Initialize NumPy Array
- 5 How to check the shape of NumPy arrays
- 6 How to Join NumPy Arrays
- 7 NumPy Intersection & Difference
- 8 NumPy Array Mathematics
- 9 NumPy Matrix
- 10 How to Transpose NumPy Matrix
- 11 NumPy Matrix Multiplication
- 12 NumPy Save & Load
- 13 Python Pandas Tutorial
- 14 Pandas Series Object
- 15 Pandas Dataframe
- 16 Matplotlib Python Tutorial
- 17 Line plot
- 18 Bar plot
- 19 Scatter Plot
- 20 Histogram
- 21 Box Plot
- 22 Violin Plot
- 23 Pie Chart
- 24 DoughNut Chart
- 25 SeaBorn Line Plot
- 26 SeaBorn Bar Plot
- 27 SeaBorn ScatterPlot
- 28 SeaBorn Histogram/Distplot
- 29 SeaBorn JointPlot
- 30 SeaBorn BoxPlot
- 31 What is Scikit learn?
- 32 Installing Scikit learn
- 33 Support for Algorithms
- 34 Applications of Scikit learn
- 35 Advantages and Disadvantages
- 36 Practical Demo in Python
- 37 Introduction to SciPy
- 38 Installing SciPy
- 39 Sub Packages in SciPy
- 40 SciPy Clusters
- 41 SciPy Constants
- 42 SciPy FFTPack and Interpolation
- 43 SciPy Linalg and Ndimage
- 44 Anomaly or Outlier Detection
- 45 Python Project on IPL Data
- 46 Python Project on FIFA
- 47 Python Project on Marvel and DC Characters
- 48 Python Project on Game of Thrones Data
- 49 Python Project on COVID-19 Data
- 50 Evolution of Computers
- 51 Understanding Generative AI
- 52 Discriminative vs Generative AI
- 53 Why is Gen AI trending?
- 54 How Gen AI works?
- 55 Types of Generative AI
- 56 Applications of Generative AI
- 57 Introduction to Data Analysis using ChatGPT
- 58 Data Analysis using Python - Outline
- 59 Understanding the Car-MPG Dataset
- 60 Car-MPG - Distribution of Origin Variable
- 61 Car-MPG - Handling Missing Values
- 62 Car-MPG - Regression Modeling
- 63 Car-MPG - Summary Statistics
- 64 Car-MPG - Univariate Analysis and Correlation Matrix
