nishkarshraj / 100daysofmlcode

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

#100DaysofMLCode

Table of Contents

1. Data Pre-processing

• Importing Libraries
• Importing Data sets
• Handling the missing data values
• Encoding categorical data
• Split Data into Train data and Test data
• Feature Scaling

2. Regression

• Simple Linear Regression
• Multi Linear Regression
• Polynomial Regression
• Support Vector Regression
• Decision Tree Regression
• Random Forest Regression

3. Classification

• Logistic Regression
• K Nearest Neighbors Classification
• Support Vector Machine
• Kernel SVM
• Naive Bayes
• Decision Tree Classification
• Random Forest Classification

4. Clustering

• K-Means Clustering
• Hierarchical Clustering

5. Association Rule

• Apriori
• Eclat

6. Reinforcement Learning

• Upper Confidence Bounds
• Thompson Sampling

7. Natural Language Processing

• AWS Comprehend

8. Deep Learning

• Artificial Neural Networks (ANN)
• 2. Convolutional Neural Networks (CNN)

9. Dimensionality Reduction

• Principal Component Analysis
• Linear Discriminant Analysis
• Kernel PCA

10. Model Selection

• Grid Search
• K-fold Cross Validation
• XGBoost

11. Data Visualization

• Matplotlib library in Python
• Tableau
• Power BI
• Grafana

Log of my Day-to-Day Activities

Track my daily activities here

How to Contribute

This is an open project and contribution in all forms are welcomed. Please follow these Contribution Guidelines

Code of Conduct

Adhere to the GitHub specified community code.

License

Check the official MIT License here.

👥 Contributors

• @NishkarshRaj

• @neha-shah99

• @manavkapadnis

• @UdayKiranPadhy

• @codingcosmonaut

• @ekdnam

• @anushka0301

• @JeremiahKamama

• @aenyne

• @pragyakapoor

100daysofmlcode's Issues

Comparision of different Data Classification algorithms

Data Classification Algorithm comparison based on various parameters like input constraints, size, performance etc.

Deep Learning Algorithms

#19 #34
Add README files explaining the Deep Learning Algorithms:

• Artificial Neural Networks
• Convolutional Neural Networks

Association Rule - Apriori

I have programmed for Association using Apriori Rules in both R and Python.

Please help me create a explanatory markdown documentation for the same.

Link for the code is here.

Clustering - K Means

I have programmed for Clustering - K Means Algorithm in both R and Python.

Please help me create a explanatory markdown documentation for the same.

Link for the code is here.

Simple Linear Regression in R

Create a Simple Linear Regression code in R language

Association rule - Eclat

I have programmed for Association Rules using Eclat in both R and Python.

Please help me create a explanatory markdown documentation for the same.

Link for the code is here

List of python packages in one file - requirements.txt

While testing python code samples in this repository, I had to manually install each and every package mentioned among imports. It would be great to have one file where all used packages are listed. That saves so much time.

Recommended solution: requirements.txt which includes all packages used across python files.

Implement Data Pre-processing using Python and R

Simple Linear Regression In Python

Code for Linear Regression in Python

GitHub Actions

Non functional GitHub Actions like Greetings etc. are failing. Please help.

Feature Request: Add UNet model with documentation

It would be great to add UNet to the repo as UNet is one of the best models for image segmentation.

I would be really interested in working on the same asap.

looking forward to your reply

Update a Readme for the Reinforcement Learning models

Adding some explaination and other research resources for the applied Reinforcement Learning Algorithms

Data classification - Kernel SVM

I have programmed for Data classification - Kernel SVM in both R and Python.

Please help me create a explanatory markdown documentation for the same.

Link for the code is here.

Multi Linear Regression in Python

Code for Multi Linear Regression In python

Writeup for Polynomial Linear Regression

I have uploaded the code for Polynomial Linear Regression. If someone wants to contribute, they can provide a writeup about the same.

Pull request For HacktoberFest Problem

Is your feature request related to a problem? Please describe.
Hey , I Submitted the pull request for hacktober fest , Before I tell you that , you closed it.
#44
Please Lable it as hactoberfest and hacktoberfest-accpted

Describe the solution you'd like
Please , Lable it as "hacktoberfest" and "hacktoberfest-accepted"
Open the link
#44
and on the right side there is a lable tab and please add it.

Documentation

I have programmed for most topics in both R and Python but have failed to document and explain the code for most topics.
Anyone up for contribution can raise an Issue referencing this Issue and raise a PR.

Thanks 😄

SimpleImputer in Chapter2/missing_data.py is failing

I am getting this error:
ValueError: Input contains NaN, infinity or a value too large for dtype('float64').

Random Forest Classification

I have programmed for Random Forest Classification in both R and Python.

Please help me create a explanatory markdown documentation for the same.

Link for the code is here.

Generic Issue

This repository is up for contribution. Please go through the repository and raise issues regarding code, needed update, issues in code etc. All contributions welcomed.

t-SNE - Dimensionality Reduction

Hello, I think it would be great to implement also this algortihm for the Dimensionality Reduction folder. I would be keen to do it,. Can I add it?

Random Forest Regression

Code for Random Forest Regression has been completed but explanation for same in both R and Python is needed. If someone is open to write an explanation in Markdown file, reply to this issue and I will assign the same to you 👍

Support Vector Machines

I have programmed for Data Classification - Support Vector Machines in both R and Python.

Please help me create a explanatory markdown documentation for the same.

Link for the code is here.

Hierarchical Clustering Algorithms

I have programmed for Hierarchical Clustering Algorithms in both R and Python.

Please help me create a explanatory markdown documentation for the same.

Link for the code is here.

Adding Wasserstein GAN

Additional context
I would like to add a WGAN model trained on Celeb A dataset in pytorch.

Writeup for Decision Tree Regression

Code for Decision Tree Regression has been completed but explanation for same in both R and Python is needed. If someone is open to write an explanation in Markdown file, reply to this issue and I will assign the same to you 👍

Multi Linear Regression in R

Code for Multi Linear Regression in R

Updating readme for all the algorithms

I see that many algorithms do have their readmes but do not have a (theoretical) explanation for the concerning algorithm. I would like to add content to such readmes.

Add Hacktoberfest Title to the repo

Hey Please Put Hacktoberfest title in your repository .
https://hacktoberfest-assets.nyc3.cdn.digitaloceanspaces.com/hacktoberfest-eligible-gif.gif
https://hacktoberfest.digitalocean.com/hacktoberfest-update
please read the update in "A note to maintainers" section

Structuring the files in proper folder

I see that the use cases/Examples of some for the Topics are added in the same directory with main-introduction files of topic. Can I properly structure the topics and sub-topics/examples. I have done that in ANN and NLP folders #77 can you please review that ?

@NishkarshRaj

Data Classification - Decision Tree

I have programmed for Data Classification - Decision Tree in both R and Python.

Please help me create a explanatory markdown documentation for the same.

Link for the code is here.