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Python Basics, Machine Learning, Data Analysis & Deep Learning

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Code With Us

Hi! We have made a Python roadmap for 10 Week where participants can learn everything they need to know from the basics to a deep dive into machine learning, data analysis, and deep learning

Installation Required

  - Python 3.3 or Higher
  - Jupyter Notebook
  - Anaconda (Latest Version)
    
    1.Numpy
    2.Pandas
    3.Matplotlib
    4.Scikit-learn
    5.PyTorch
    6.SciPy
    7.Plotly
    8.PyGame
    9.BeautifulSoup
    10.MoviePy
    11.Pillow
    12.Tkinter    

Content:

  • Week 1 - Intro

    • Variables
    • Operators
    • Conditionals
    • Cycles
  • Week 2 - Basic Maths

    • Functions
    • Sets
    • Booleans
    • And-Operators
    • User Input
    • Dictionaries
    • List
  • Week 3 - Deep Dive into Python

    • if Statement
    • Functions
    • For Loop/ While Loop
    • Lambda Functions
    • Advance List
    • Finding Prime Number
  • Week 4 - Python Intermediate

    • Inheritance
    • Modules
    • (Project- WeatherApp)
  • Week 5 - Web Scraping & Browser Automation (Project 2)

    • Scraping Web
    • Intro to BeautifulSoup
    • Selenium
    • (Project- Virtual Assist)
  • Week 6 - Intro Numpy & Data visualization and manipulation

    • Sets
    • Numpy
    • Pandas
    • Matplotlib
    • Seaborn
    • Bokeh
  • Week 7 - Data Analysis

    • Covid 19 Data Analysis
    • Fake News Detection
    • House Price Detection
    • IMDb Analysis
    • (many more)
  • Week 8 - Mathematics

  • Week 9 - ML algo's and Regression

    • Linear Regression
    • Polynomial Regression
    • Logistic Regression
    • Overfit Complexity
    • K Nearest Neighbor (KNN)
    • Decision Tree
    • Support Vector Machines (SVM)
  • Week 10 - Intro Deep Learning

    • Intro Deep Learning Part 2
    • Deep Learning (Basic Theory)
    • Pytorch
    • Convolutional Neural Network

Authors