I made this email spam detection model using naive Bayes algorithm.Accuracy of this model is 0.99.

I have made some some data science project and also the basic implementation of matplotlib which will help beginners to understand ML better . I have made a Bollywood dataset project which is basically analysing dataset and a titanic dataset which is a classification problem.

You are required to add Python code and relevant documentation in sub-folders within the Python folder.
Python code and documentation should be in the same sub-folder.

Example:

├── Python
│   ├── Loops in Python (add code and documentation within the new loops in python sub-folder.
│   │   ├── loops.py (Python file showing working of loops)
|   |   ├── loops.md (Markdown file for documentation on how your code works)
│   ├── Functions in Python (code and documentation within one sub-folder)
│   ├── Importing Libraries
│   ├── Python.md (Leave this file intact)

YOU NEED TO SUBMIT BOTH CODE AND MARKDOWN FILE FOR THIS ISSUE

So, the required topics are:

• Data Types
• Loops
• Functions
• Generators (advanced)
• importing libraries like NumPy, pandas, scikit-learn
• Arrays/Lists in Python (declaring, iterating, and storing values)
• NumPy arrays (basics ndarray behavior, difference from lists
  (More important contributions)
• Implementing an inbuilt NumPy function in Python from scratch
• Creating your own package in Python for a simple task.

If you are interested, add a comment to this issue and I will allocate the issue to you.

Please see, you will be allotted a small portion of the topics mentioned above just so all interested people have a chance to contribute.
Also notice the labels for each issue, that will give you an idea about what kind of work you are expected to do.

Cheers! 😄

@DSCTIU can I work on this dataset

Here I will implement NLP algorithm from scratch. Along with this I'll provide a detailed documentation comprising of the intuition behind natural language processing and about terms like lemmatizing and stemming ,etc.

@diffrxction please add the hacktoberfest and other desired labels to this issue.

Regards
Armaan Seth

Need documentation on simple perceptron and their implementation from scratch. Code should not be copy pasted from online sources. Please attach relevant documentation with images in markdown files.

Requirements:

1. Documentation

• Add descriptive documentation on thermal imagery and different types of sensors.
• Use cases of thermal imagery
• Types of thermal data
• Temperature as a quantity adds value to what global scenarios

2. Code

• Reading and displaying thermal image.
• Enhancing thermal images.
• Use in temperature detection via computer vision
• 3 channel thermal to single channel thermal conversion

Follow similar structure as mentioned in other issues. Also add your contributions to the Thermal Imagery folder

Here, you are required to give self implemented machine learning algorithms. This means, submitting code that works similar to the inbuilt machine learning algorithms or error metrics like RMSE, MAE, simple regressors and classifiers.

Folder structure to follow:

├── Self-implemented ML Algorithms
│   ├── Error metrics
│   │   ├──Mean Absolute Error  (Create sub-folder here)
│   │   ├──Root Mean Absolute Error (Create sub-folder here) and so on.
│   ├── ML Algorithms
│   │   ├──Linear Regression  (Create sub-folder here)
│   │   ├──Logistic Regression  (Create sub-folder here) and so on.
│   │   ├──Decision Trees(Create sub-folder here)
│   │   ├──Support Vector Machines(Create sub-folder here)

P.S. If you use any datasets to check the correctness of your algorithms, then do include the links in the relevant markdown files.

If you are interested, add a comment to this issue and I will allocate the issue to you.

Please see, you will be allotted a small portion of the topics mentioned above just so all interested people have a chance to contribute.
You can also try implementing some metric or algorithm that is not mentioned in this issue. Do so by mentioning what you plan on implementing in the comments below or creating a new issue and I will assign the issue to you.
Also notice the labels for each issue, that will give you an idea about what kind of work you are expected to do.

Cheers! 😄

Requirments:
Code and description in Markdown files

• Reading images in Python
• Writing images in Python
• Mean Filter implementation
• Median Filter implementation
• Displaying images in plots and subplots using matplotlib
• Plotting datasets as graphs and charts using matplotlib and seaborn.

If you have any other implementations you would like to contribute, then mention them in the comments and I will allocate them to you.

Folder structure to follow:

├── Image Processing
│   ├── Image Reading, Writing (Create sub-folder here)
│   │   ├──ReadingImagesopencv.py  
│   │   ├──ReadingImagesopencv.md  
│   │   ├──WritingImagesopencv.py  
│   │   ├──WritingImagesopencv.md  
│   ├── Matplotlib Operations(Create sub-folder here)
│   │   ├──PlottingData.py  
│   │   ├──PlottingData.md  
│   │   ├──Subplots.py  
│   │   ├──Subplots.md  (and so on....)

Please see, you will be allotted a small portion of the topics mentioned above just so all interested people have a chance to contribute.

Also notice the labels for each issue, that will give you an idea about what kind of work you are expected to do.

Cheers! 😄