Transform your Data Analysis skills in 2024: With Python + Gen AI
This video on Python for Data Analysis course covers essential libraries like NumPy, Pandas, Matplotlib, Seaborn, and Scikit-Learn. You'll work on hands-on projects such as analyzing IPL data, FIFA stats, and Marvel vs. DC characters. It also covers topics like anomaly detection, Generative AI, and comparing GPT 3.5 and 4 for dataset analysis, equipping you with practical knowledge of Python and AI tools for data analysis.
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🏁 Topics Covered:
00:00:00 Introduction
00:02:07 NumPy Python Tutorial
00:02:33 How to Create NumPy Array
00:05:42 How to Initialize NumPy Array
00:13:09 How to check the shape of NumPy arrays
00:15:27 How to Join NumPy Arrays
00:19:04 NumPy Intersection & Difference
00:22:33 NumPy Array Mathematics
00:30:02 NumPy Matrix
00:32:37 How to Transpose NumPy Matrix
00:34:05 NumPy Matrix Multiplication
00:35:51 NumPy Save & Load
00:38:28 Python Pandas Tutorial
00:38:56 Pandas Series Object
00:49:22 Pandas Dataframe
01:02:43 Matplotlib Python Tutorial
01:02:57 Line plot
01:17:15 Bar plot
01:23:23 Scatter Plot
01:31:21 Histogram
01:38:00 Box Plot
01:41:42 Violin Plot
01:42:42 Pie Chart
01:47:24 DoughNut Chart
01:49:48 SeaBorn Line Plot
01:58:12 SeaBorn Bar Plot
02:05:55 SeaBorn ScatterPlot
02:11:11 SeaBorn Histogram/Distplot
02:17:36 SeaBorn JointPlot
02:21:07 SeaBorn BoxPlot
02:29:45 What is Scikit learn?
02:44:21 Installing Scikit learn
02:51:31 Support for Algorithms
02:56:18 Applications of Scikit learn
03:04:28 Advantages and Disadvantages
03:10:16 Practical Demo in Python
03:27:05 Introduction to SciPy
03:29:35 Installing SciPy
03:35:17 Sub Packages in SciPy
03:41:29 SciPy Clusters
03:49:18 SciPy Constants
03:54:14 SciPy FFTPack and Interpolation
04:03:07 SciPy Linalg and Ndimage
04:13:43 Anomaly or Outlier Detection
05:28:58 Python Project on IPL Data
06:12:08 Python Project on FIFA
06:42:57 Python Project on Marvel and DC Characters
07:12:44 Python Project on Game of Thrones Data
07:32:40 Python Project on COVID-19 Data
08:02:36 Evolution of Computers
08:03:25 Understanding Generative AI
08:05:49 Discriminative vs Generative AI
08:07:05 Why is Gen AI trending?
08:09:03 How Gen AI works?
08:10:20 Types of Generative AI
08:11:17 Applications of Generative AI
08:13:31 Introduction to Data Analysis using ChatGPT
08:16:40 Data Analysis using Python - Outline
08:26:58 Understanding the Car-MPG Dataset
08:42:45 Car-MPG - Distribution of Origin Variable
08:46:42 Car-MPG - Handling Missing Values
08:56:02 Car-MPG - Regression Modeling
09:09:10 Car-MPG - Summary Statistics
09:18:31 Car-MPG - Univariate Analysis and Correlation Matrix
#dataanalytics #python #genai
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