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
- 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
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Week 1 - Intro
- Variables
- Operators
- Conditionals
- Cycles
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Week 2 - Basic Maths
- Functions
- Sets
- Booleans
- And-Operators
- User Input
- Dictionaries
- List
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Week 3 - Deep Dive into Python
- if Statement
- Functions
- For Loop/ While Loop
- Lambda Functions
- Advance List
- Finding Prime Number
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Week 4 - Python Intermediate
- Inheritance
- Modules
- (Project- WeatherApp)
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Week 5 - Web Scraping & Browser Automation (Project 2)
- Scraping Web
- Intro to BeautifulSoup
- Selenium
- (Project- Virtual Assist)
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Week 6 - Intro Numpy & Data visualization and manipulation
- Sets
- Numpy
- Pandas
- Matplotlib
- Seaborn
- Bokeh
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Week 7 - Data Analysis
- Covid 19 Data Analysis
- Fake News Detection
- House Price Detection
- IMDb Analysis
- (many more)
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Week 8 - Mathematics
- Linear Algebra
- Probability
- Statistics
- @Machine Learning Video Playlist
- @Statistics in ML
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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)
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Week 10 - Intro Deep Learning
- Intro Deep Learning Part 2
- Deep Learning (Basic Theory)
- Pytorch
- Convolutional Neural Network
- @Aryan Karn
- @Dharm Raj Maurya
- We would also like to acknowledge many other developers for the code which was made available on Github.