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دسته بندی دوره ها

Learn Python for Data Science from Scratch -with 10 Projects

سرفصل های دوره

Unleash Data Potential: Master Python for Data Science, Visualization, and Machine Learning from Ground Zero to Pro!


1 - Introduction to Python and the Jupyter Notebook
  • 1 - Introduction
  • 2 - Python-for-data-science-course.docx
  • 2 - What is Python
  • 3 - Overview of the Jupyter Notebook
  • 4 - The Print Function
  • 5 - Basic Arithmetic Functions
  • 6 - Variables
  • 7 - Project 1
  • 8 - Project 1 Solution

  • 2 - Data Types and Structures in Python
  • 9 - Strings
  • 10 - Strings Numerical Data Types
  • 11 - Lists
  • 12 - Tuples
  • 13 - Dictionaries
  • 14 - Project 2
  • 15 - Project 2 Solution

  • 3 - Control Flow in Python
  • 16 - Overview of Control Flow
  • 17 - Conditional Statements
  • 18 - For Loops
  • 19 - While loops
  • 20 - Project 3
  • 21 - Project 3 Solution

  • 4 - Functions and Modules in Python
  • 22 - Functions
  • 23 - Lambda Functions
  • 24 - Modules
  • 25 - Project 4
  • 26 - Project 4 Solution

  • 5 - Introduction to Numpy
  • 27 - Introduction to Numpy
  • 28 - Creating arrays in Numpy
  • 29 - Indexing and Slicing Arrays
  • 30 - Copy and View in Numpy
  • 31 - Shape and reshaping arrays
  • 32 - Basic Operations in Numpy Arrays
  • 33 - Data Analytics operations in Numpy
  • 34 - Project 5
  • 35 - Project 5 Solution

  • 6 - Introduction to Pandas
  • 36 - Introduction to Pandas
  • 37 - Reading in Files in Pandas
  • 38 - Looking at data in the dataframe
  • 39 - Accessing filtering and Sorting data
  • 40 - Indexing loc and iloc in Pandas
  • 41 - Groupby and aggregate functions
  • 42 - Merge Join and Concatenate
  • 43 - Data Cleaning in Pandas 1
  • 44 - Data Cleaning in Pandas 2
  • 45 - Data Visualization in Pandas
  • 46 - Project 6
  • 47 - Project 6 Solution

  • 7 - Introduction to Matplotlib
  • 48 - Introduction to Matplotli
  • 48 - Python-for-data-science-course.docx
  • 49 - Basic Plots in Matplotlib
  • 50 - Project 7
  • 51 - Project 7 Solution

  • 8 - Basic Machine Learning with ScikitLearn
  • 52 - Introduction to Machine Learning
  • 52 - Python-for-data-science-course.docx
  • 53 - Supervised Unsupervised Learning
  • 54 - Machine Learning Techniques
  • 55 - Introduction to ScikitLearn

  • 9 - Regression Models with ScikitLearn
  • 56 - Github repo of resources.txt
  • 56 - Introduction to Regression Models
  • 57 - Building your First Linear Regression Model 1
  • 58 - Building your First Linear Regression Model 2
  • 59 - Building your First Linear Regression Model 3
  • 60 - Building your First Linear Regression Model 4
  • 61 - Project 8
  • 62 - Project 8 Solution

  • 10 - Classification Models with ScikitLearn
  • 63 - Github repo of resources.txt
  • 63 - Introduction to Classification Models
  • 64 - Building your First Classification Model 1
  • 65 - Building your First Classification Model 2
  • 66 - Building your First Classification Model 3
  • 67 - Building your First Classification Model 4
  • 68 - Project 9
  • 69 - Project 9 Solution

  • 11 - Clustering Models with ScikitLearn
  • 70 - Github repo for resources.txt
  • 70 - Introduction to Clustering Models
  • 71 - Building your First Clustering Model 1
  • 72 - Building your First Clustering Model 2
  • 73 - Project 10
  • 74 - Project 10 Solution

  • 12 - Wrap up
  • 75 - Wrap Up
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    شناسه: 28129
    حجم: 8809 مگابایت
    مدت زمان: 801 دقیقه
    تاریخ انتشار: ۱۹ دی ۱۴۰۲
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